Tokyo University of Agriculture

Region/Country

Asiatic Region
Japan
Universities and research institutions

Overall

-0.551

Integrity Risk

very low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.210 -0.119
Retracted Output
-0.522 -0.208
Institutional Self-Citation
-0.662 0.208
Discontinued Journals Output
-0.474 -0.328
Hyperauthored Output
-0.623 0.881
Leadership Impact Gap
0.269 0.809
Hyperprolific Authors
-1.413 0.288
Institutional Journal Output
-0.268 -0.139
Redundant Output
-1.186 0.778
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Tokyo University of Agriculture demonstrates a robust and commendable profile in scientific integrity, with an overall risk score of -0.551 that significantly outperforms the national average. This strong performance is anchored in exceptionally low-risk indicators across multiple domains, particularly in the Rate of Retracted Output, Rate of Hyperprolific Authors, and Rate of Redundant Output, signaling a deeply embedded culture of quality, rigor, and responsible research conduct. The institution's primary area for strategic reflection is the moderate gap between its total research impact and the impact of work where it holds intellectual leadership. According to SCImago Institutions Rankings data, the university holds prominent national positions in key thematic areas, including Medicine (22nd), Agricultural and Biological Sciences (25th), and Environmental Science (42nd). This outstanding integrity profile strongly aligns with its mission of "Practical Science," which champions a rational, problem-solving spirit. The low-risk environment ensures that its scientific pursuits are credible and ethically sound. However, the identified impact gap presents an opportunity to more fully embody the mission's principle of generating foundational knowledge ("Ask rice plant about rice plant") by strengthening internal research leadership. By leveraging its exceptional foundation of integrity, the university is perfectly positioned to enhance its capacity for self-driven, high-impact research, ensuring its prestige is both structural and sustainable.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

With a Z-score of -0.210, which is notably lower than the national average of -0.119, Tokyo University of Agriculture exhibits a prudent and rigorous approach to managing institutional affiliations. This result suggests that the university's processes are more stringent than the national standard. While multiple affiliations can be a legitimate outcome of collaboration, the institution's controlled rate indicates a successful avoidance of strategic practices aimed at artificially inflating institutional credit or "affiliation shopping." This demonstrates a commitment to transparent and accurate representation of its collaborative footprint.

Rate of Retracted Output

The institution presents an exceptionally low Z-score of -0.522 in retracted publications, a figure that sits comfortably below the already low-risk national average of -0.208. This near-total absence of risk signals is a powerful indicator of robust quality control and responsible supervision. It suggests that the university's pre-publication review mechanisms are highly effective, preventing the systemic failures that can lead to recurring malpractice or a lack of methodological rigor. This low-profile consistency aligns with a secure national environment and underscores a strong institutional culture of integrity.

Rate of Institutional Self-Citation

Tokyo University of Agriculture shows remarkable institutional resilience, with a low-risk Z-score of -0.662 in stark contrast to the medium-risk national average of 0.208. This demonstrates that the university's control mechanisms effectively mitigate a systemic risk prevalent in the country. A certain level of self-citation is natural, but the institution successfully avoids the 'echo chambers' and endogamous impact inflation that can arise from disproportionately high rates. This result confirms that the university's academic influence is validated by the global community rather than being oversized by internal dynamics.

Rate of Output in Discontinued Journals

The university's Z-score of -0.474 for output in discontinued journals is in the very low-risk category, reinforcing the low-risk national standard (-0.328). This consistency indicates that the institution exercises excellent due diligence in selecting publication venues. A high proportion of output in such journals would signal a critical failure in information literacy and expose the institution to severe reputational risks from 'predatory' practices. The university's minimal engagement with these channels demonstrates a strong commitment to channeling its scientific production through media that meet international ethical and quality standards.

Rate of Hyper-Authored Output

With a low-risk Z-score of -0.623, the institution effectively counters the medium-risk national trend (0.881), showcasing significant institutional resilience. This suggests the university acts as a filter against national practices that could lead to author list inflation. While extensive author lists are legitimate in 'Big Science,' their appearance elsewhere can dilute individual accountability. The university’s controlled rate indicates a clear distinction between necessary massive collaboration and questionable 'honorary' authorship, thereby upholding transparency in its research contributions.

Gap between Impact of total output and the impact of output with leadership

The institution records a medium-risk Z-score of 0.269, a value that indicates a more differentiated and controlled management of this issue compared to the higher national average of 0.809. This gap suggests that a portion of the university's scientific prestige may be dependent on collaborations where it does not exercise intellectual leadership. However, by moderating a risk that is more pronounced nationally, the institution demonstrates a stronger foundation for sustainable, self-driven impact. This invites a strategic reflection on how to further cultivate internal capacity to ensure that its high-impact metrics increasingly result from its own structural excellence.

Rate of Hyperprolific Authors

Tokyo University of Agriculture exhibits a state of preventive isolation with an extremely low Z-score of -1.413, completely diverging from the medium-risk dynamic observed at the national level (0.288). This result indicates that the institution does not replicate the risk of hyperprolificity found in its environment. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution. The university's position signals a strong institutional culture that prioritizes quality over quantity, effectively preventing potential imbalances and risks such as coercive authorship or the assignment of credit without real participation.

Rate of Output in Institutional Journals

The institution demonstrates total operational silence in this indicator, with a Z-score of -0.268 that is even lower than the country's very low-risk average of -0.139. This absence of risk signals, even when compared to a secure national baseline, is exemplary. It shows a firm commitment to avoiding academic endogamy and potential conflicts of interest where the institution might act as both judge and party. By shunning internal channels, the university ensures its scientific production undergoes independent external peer review, maximizing its global visibility and competitive validation.

Rate of Redundant Output

With a very low-risk Z-score of -1.186, the university achieves a clear preventive isolation from the medium-risk national trend (0.778). This stark difference shows the institution does not replicate the risk dynamics prevalent in its environment. The near-absence of massive bibliographic overlap between publications indicates a strong stance against data fragmentation or 'salami slicing.' This commitment to publishing coherent, significant studies protects the integrity of the scientific record and demonstrates a focus on generating new knowledge rather than artificially inflating productivity metrics.

This report was automatically generated using Google Gemini to provide a brief analysis of the university scores.
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