K. Satoh
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Internal Medicine top 5%
Papers in
-
- Ubiquitin and proteasome pathways 4
- Immunology 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 4
- Co-authors
- Yutaka Yatomi (9 shared papers)Shoko Kume (7 shared papers)Yukio Ozaki (3 shared papers)Ruomei Qi (4 shared papers)Naoki Asazuma (4 shared papers)N. Hisano (1 shared paper)Yasuyuki Igarashi (1 shared paper)Lin Yang (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)The Journal of Immunology (3 papers)Journal of Thrombosis and Haemostasis (3 papers)Proceedings of the National Academy of Sciences (2 papers)Brain Research (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
K. Satoh
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Hematology 257
- Internal Medicine 77
- Immunology 362
- Cell Biology 280
- Molecular Biology 890
Countries citing papers authored by K. Satoh
This map shows the geographic impact of K. Satoh'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. Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Satoh more than expected).
Fields of papers citing papers by K. Satoh
This network shows the impact of papers produced by K. Satoh. 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. Satoh. The network helps show where K. Satoh may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Satoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 399 | |
| 2 | 1994 | 139 | |
| 3 | 2016 | 115 | |
| 4 | 2000 | 111 | |
| 5 | 2019 | 104 | |
| 6 | 2012 | 103 | |
| 7 | 2000 | 54 | |
| 8 | 2016 | 50 | |
| 9 | 1998 | 45 | |
| 10 | 2006 | 44 | |
| 11 | 2018 | 42 | |
| 12 | 2000 | 40 | |
| 13 | 2018 | 40 | |
| 14 | 2000 | 38 | |
| 15 | 2021 | 34 | |
| 16 | 2002 | 34 | |
| 17 | 1993 | 32 | |
| 18 | 2004 | 29 | |
| 19 | 1994 | 29 | |
| 20 | 1988 | 26 |
About K. Satoh
K. Satoh is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Physiology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (11 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Alzheimer's disease research and treatments (5 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Blood properties and coagulation (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Hematology (257 citations), Internal Medicine (77 citations), Immunology (362 citations), Cell Biology (280 citations) and Molecular Biology (890 citations). K. Satoh has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yutaka Yatomi, Shoko Kume, Yukio Ozaki, Ruomei Qi, Naoki Asazuma, N. Hisano, Yasuyuki Igarashi, Lin Yang, Hiroshi Yokota and Hitoshi Sawada. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Immunology, Journal of Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences and Brain Research.
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.