Kiyoshi Sakamoto
- Oncology top 2%
- Immunology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 2%
- Epidemiology top 5%
- Co-authors
- David T. PurtiloMasanobu AkagiDouglas W. HantoRichard L. SimmonsAtsuo KawamuraJohn L. SullivanMichio OgawaAri K. Saemundsen
- Topics
- Viral-associated cancers and disorders (21 papers)Parvovirus B19 Infection Studies (12 papers)Lymphoma Diagnosis and Treatment (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kiyoshi Sakamoto
131 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Oncology 1.3k
- Immunology 650
- Molecular Biology 514
- Pathology and Forensic Medicine 513
- Epidemiology 491
Countries citing papers authored by Kiyoshi Sakamoto
This map shows the geographic impact of Kiyoshi Sakamoto'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 Kiyoshi Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Sakamoto more than expected).
Fields of papers citing papers by Kiyoshi Sakamoto
This network shows the impact of papers produced by Kiyoshi Sakamoto. 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 Kiyoshi Sakamoto. The network helps show where Kiyoshi Sakamoto may publish in the future.
Co-authorship network of co-authors of Kiyoshi Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Sakamoto. A scholar is included among the top collaborators of Kiyoshi Sakamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kiyoshi Sakamoto. Kiyoshi Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | Research on Thermal Comfort Zone of Railway Stations with Air-conditioned Spaces | 1 |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 41 | |
| 12 | 0 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Documentation of Epstein-Barr virus infection in immunodeficient patients with life-threatening lymphoproliferative diseases by Epstein-Barr virus complementary RNA/DNA and viral DNA/DNA hybridization. | 111 |
About Kiyoshi Sakamoto
Kiyoshi Sakamoto is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 140 papers that have together received 3.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (21 papers), Parvovirus B19 Infection Studies (12 papers) and Lymphoma Diagnosis and Treatment (12 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (650 citations) and Pathology and Forensic Medicine (513 citations). Kiyoshi Sakamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include David T. Purtilo, Masanobu Akagi, Douglas W. Hanto, Richard L. Simmons, Atsuo Kawamura, John L. Sullivan, Michio Ogawa, Ari K. Saemundsen, Hiroshi Egami and Yoshio Haga. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Experimental Medicine.
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.