K. Okimura
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- T-cell and B-cell Immunology 3
- Complement system in diseases 2
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- Protein Hydrolysis and Bioactive Peptides 3
- Chemical Synthesis and Analysis 3
- Co-authors
- Tsuyoshi Miura (5 shared papers)Tsuyoshi Shimamura (3 shared papers)T Suzuki (3 shared papers)Kazuo Yamashita (3 shared papers)Satoru Todo (3 shared papers)T Hashimoto (4 shared papers)Masahiko Taniguchi (2 shared papers)Nobuaki Takahashi (2 shared papers)
In The Last Decade
K. Okimura
12 papers receiving 361 citations
Peers
Comparison fields: 5 of 48
- Transplantation 119
- Immunology 164
- Surgery 149
- Cellular and Molecular Neuroscience 60
- Endocrine and Autonomic Systems 20
Countries citing papers authored by K. Okimura
This map shows the geographic impact of K. Okimura'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 K. Okimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Okimura more than expected).
Fields of papers citing papers by K. Okimura
This network shows the impact of papers produced by K. Okimura. 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 K. Okimura. The network helps show where K. Okimura may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Okimura, 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 | 2009 | 83 | |
| 2 | 2012 | 51 | |
| 3 | 2013 | 50 | |
| 4 | 2014 | 44 | |
| 5 | 2005 | 32 | |
| 6 | 2014 | 29 | |
| 7 | 1991 | 25 | |
| 8 | 1991 | 19 | |
| 9 | 2014 | 16 | |
| 10 | 1992 | 14 | |
| 11 | A Novel Fully Human Anti-CD40 Monoclonal Antibody, ASKP1240, Mono- and Combination-Therapy in Prolongation of Renal Allograft Survival in Cynomolgus Monkeys | 2011 | 3 |
| 12 | 1989 | 1 |
About K. Okimura
K. Okimura is a scholar working on Immunology, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Transplantation, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Chemical Synthesis and Analysis (3 papers), T-cell and B-cell Immunology (3 papers), Complement system in diseases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Transplantation (119 citations), Immunology (164 citations), Surgery (149 citations), Cellular and Molecular Neuroscience (60 citations) and Endocrine and Autonomic Systems (20 citations). K. Okimura has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Tsuyoshi Miura, Tsuyoshi Shimamura, T Suzuki, Kazuo Yamashita, Satoru Todo, T Hashimoto, Masahiko Taniguchi, Nobuaki Takahashi, Akira Shimizu and Tetsuji Aoyagi. Their work appears in journals such as American Journal of Transplantation, Chemical and Pharmaceutical Bulletin, Transplantation, The Journal of Immunology and Advances in experimental medicine and biology.
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.