The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Katsumi Aida sits on this spectrum.
This scientist: 369 publications — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,028 publications or more.
The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Katsumi Aida sits on this spectrum.
This scientist: 73 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 167 D-Index or more.
Katsumi Aida is affiliated with the University of Tokyo in Japan and has contributed to the interdisciplinary field connecting computer science with biomedical research. Their research primarily focuses on computational drug discovery methods, integrating computational theory and mathematics to support pharmaceutical developments.
The main fields of study for Katsumi Aida center around computer science, with a specific emphasis on computational theory and mathematics. This focus is reflected in their academic contributions and collaborations, especially in topics associated with computational drug discovery methods.
Recent publications demonstrate engagement with biomedical applications. One such notable paper is titled "Phase 1 Studies of the Anti-Tau Monoclonal Antibody JNJ-63733657 in Healthy Participants and Participants with Alzheimer's Disease," published in 2024 in The Journal of Prevention of Alzheimer's Disease. This paper explores early-stage clinical investigations into therapies aimed at Alzheimer's disease and has been cited multiple times, reflecting attention within the related research community.
Katsumi Aida has collaborated with several co-authors on their projects. Frequent research partners include Wendy R. Galpern, Gallen Triana-Baltzer, Lin Li, Kristof Van Kolen, and Maarten Timmers. These collaborations span fields supporting the integration of computational models and biomedical research methodologies.
The scholar's publications have appeared in venues related to their areas of expertise, primarily centering on Alzheimer's disease research and preventive medicine as reflected in The Journal of Prevention of Alzheimer's Disease.
Overall, Katsumi Aida's work bridges computer science and biomedical research, focusing on computational techniques to advance drug discovery processes and contributing to the academic dialogue on neurodegenerative diseases.
Shingo Kajimura;Katsumi Aida;Cunming Duan
Masafumi Amano;Yoshitaka Oka;Katsumi Aida;Naoto Okumoto
Koichi Okuzawa;Masafumi Amano;Makito Kobayashi;Katsumi Aida
Shingo Kajimura;Katsumi Aida;Cunming Duan
Hirohiko Kagawa;Makito Kobayashi;Yoshihisa Hasegawa;Katsumi Aida
Naoaki Tsutsui;Ichiro Kawazoe;Tsuyoshi Ohira;Safiah Jasmani
Satoshi Tasumi;Tsuyoshi Ohira;Ichiro Kawazoe;Hiroaki Suetake
Katsumi Aida;Masahiko Awajj;Teiichi Kato
Naoyuki Yamamoto;Yoshitaka Oka;Masafumi Amano;Katsumi Aida
Makito Kobayashi;Katsumi Aida;Isao Hanyu
M. Khayat;W.-J. Yang;K. Aida;H. Nagasawa
Myung-Hee Kim;Yoshitaka Oka;Masafumi Amano;Makito Kobayashi
Mayumi Aoki;Toyoji Kaneko;Fumi Katoh;Sanae Hasegawa
Makito Kobayashi;Katsumi Aida;Isao Hanyu
Makito Kobayashi;Katsumi Aida;Isao Hanyu
Masafumi Amano;Katsumi Aida;Naoto Okumoto;Yoshihisa Hasegawa
Makito Kobayashi;Katsumi Aida;Isao Hanyu
Satoshi Tasumi;Wei-Jun Yang;Takeshi Usami;Shigeyuki Tsutsui
Soichi Watanabe;Toyoji Kaneko;Katsumi Aida
Atsuro Okuno;Wei Jun Yang;Vidya Jayasankar;Hisako Saido-Sakanaka
If you think any of the details on this page are incorrect, let us know.
