Koichi Saeki
Impact in
- Rehabilitation top 10%
- Exercise and Physiological Responses
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- Adipose Tissue and Metabolism
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 2
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 4
- Co-authors
- Kazuo Kubota (1 shared paper)Akihiro Umezawa (1 shared paper)Miwako Nishio (1 shared paper)Yuko Kawai (1 shared paper)Masako Nakahara (1 shared paper)Mamoru Hasegawa (1 shared paper)Kazuki Yasuda (1 shared paper)Kazuyuki Tobe (1 shared paper)
- Journals
- Journal of Theoretical Biology (4 papers)International Immunology (2 papers)European Journal of Cancer (1 paper)PLoS Computational Biology (1 paper)Genes to Cells (1 paper)
- Partner nations
- JapanAustriaNetherlands
In The Last Decade
Koichi Saeki
16 papers receiving 261 citations
Peers
Comparison fields: 5 of 75
- Rehabilitation 31
- Physiology 112
- Immunology 47
- Epidemiology 61
- Genetics 16
Countries citing papers authored by Koichi Saeki
This map shows the geographic impact of Koichi Saeki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Koichi Saeki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Saeki more than expected).
Fields of papers citing papers by Koichi Saeki
This network shows the impact of papers produced by Koichi Saeki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Koichi Saeki. The network helps show where Koichi Saeki may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Saeki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 132 | |
| 2 | 2007 | 38 | |
| 3 | 2008 | 33 | |
| 4 | 2005 | 21 | |
| 5 | 1971 | 10 | |
| 6 | 1999 | 7 | |
| 7 | 2018 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2009 | 3 | |
| 12 | 2009 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 1990 | 2 | |
| 15 | 1992 | 2 | |
| 16 | 2014 | 1 |
About Koichi Saeki
Koichi Saeki is a scholar working on Oncology, Immunology, Infectious Diseases, Organic Chemistry and Molecular Biology, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Virology and Viral Diseases (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Rehabilitation (31 citations), Physiology (112 citations), Immunology (47 citations), Epidemiology (61 citations) and Genetics (16 citations). Koichi Saeki has collaborated with scholars based in Japan, Austria and Netherlands. Frequent co-authors include Kazuo Kubota, Akihiro Umezawa, Miwako Nishio, Yuko Kawai, Masako Nakahara, Mamoru Hasegawa, Kazuki Yasuda, Kazuyuki Tobe, Takeshi Yoneshiro and Shinnosuke Suzuki. Their work appears in journals such as Journal of Theoretical Biology, International Immunology, European Journal of Cancer, PLoS Computational Biology and Genes to Cells.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.