Shigeo Nakamura
- Pathology and Forensic Medicine top 0.02%
- Lymphoma Diagnosis and Treatment 289
- Oncology top 0.1%
- Viral-associated cancers and disorders 169
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 55
- Neurology top 0.2%
- CNS Lymphoma Diagnosis and Treatment 60
- Immunology top 0.5%
- Immune Cell Function and Interaction 47
- T-cell and Retrovirus Studies 34
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- Cutaneous lymphoproliferative disorders research 42
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- Histiocytic Disorders and Treatments 24
- Co-authors
- Ritsuro SuzukiMasao SetoYasuo MorishimaYasushi YatabeMasaru KojimaTomohiro KinoshitaTakashi TakahashiTaizan Suchi
- Journals
- Journal of Clinical Oncology (7 papers)SHILAP Revista de lepidopterología (2 papers)Blood (40 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Shigeo Nakamura
498 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Pathology and Forensic Medicine 9.5k
- Oncology 7.9k
- Genetics 2.6k
- Neurology 2.9k
- Immunology 4.0k
Countries citing papers authored by Shigeo Nakamura
This map shows the geographic impact of Shigeo Nakamura'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 Shigeo Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeo Nakamura more than expected).
Fields of papers citing papers by Shigeo Nakamura
This network shows the impact of papers produced by Shigeo Nakamura. 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 Shigeo Nakamura. The network helps show where Shigeo Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeo Nakamura, 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 | 2022 | 16 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 6 | |
| 7 | 2018 | 43 | |
| 8 | 2018 | 5 | |
| 9 | 2012 | 77 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 194 | |
| 12 | 2008 | 42 | |
| 13 | 2005 | 30 | |
| 14 | 2005 | 62 | |
| 15 | 2002 | 81 | |
| 16 | 2002 | 3 | |
| 17 | 2000 | 1 | |
| 18 | 1999 | 28 | |
| 19 | 1997 | 118 | |
| 20 | 1994 | 3 |
About Shigeo Nakamura
Shigeo Nakamura is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics, having authored 508 papers that have together received 18.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (289 papers), Viral-associated cancers and disorders (169 papers), CNS Lymphoma Diagnosis and Treatment (60 papers), Chronic Lymphocytic Leukemia Research (55 papers), Immune Cell Function and Interaction (47 papers), Cutaneous lymphoproliferative disorders research (42 papers), T-cell and Retrovirus Studies (34 papers) and Histiocytic Disorders and Treatments (24 papers). The work is most often cited by research in Pathology and Forensic Medicine (9.5k citations), Oncology (7.9k citations) and Genetics (2.6k citations). Shigeo Nakamura has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Ritsuro Suzuki, Masao Seto, Yasuo Morishima, Yasushi Yatabe, Masaru Kojima, Tomohiro Kinoshita, Takashi Takahashi, Taizan Suchi, Tadashi Yoshino and Motoko Yamaguchi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.