Kensei Gotoh
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
-
- Lymphoma Diagnosis and Treatment
Papers in
- Epidemiology 18
- Herpesvirus Infections and Treatments 7
- Pneumonia and Respiratory Infections 6
- Virology and Viral Diseases 3
- Cytomegalovirus and herpesvirus research 3
- Oncology 9
- Viral-associated cancers and disorders 9
- Co-authors
- Hiroshi Kimura (11 shared papers)Yoshinori Ito (11 shared papers)Seiji Kojima (5 shared papers)Shinji Kawabe (5 shared papers)Yoshiyuki Takahashi (2 shared papers)Atsushi Kikuta (1 shared paper)Keisei Kawa (1 shared paper)Koichi Ohshima (1 shared paper)
- Journals
- The Journal of Infectious Diseases (3 papers)Journal of Medical Virology (2 papers)Cancer Science (2 papers)Vaccine (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Kensei Gotoh
26 papers receiving 737 citations
Peers
Comparison fields: 5 of 56
- Oncology 408
- Pathology and Forensic Medicine 232
- Immunology 225
- Hematology 109
- Infectious Diseases 138
Countries citing papers authored by Kensei Gotoh
This map shows the geographic impact of Kensei Gotoh'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 Kensei Gotoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensei Gotoh more than expected).
Fields of papers citing papers by Kensei Gotoh
This network shows the impact of papers produced by Kensei Gotoh. 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 Kensei Gotoh. The network helps show where Kensei Gotoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Kensei Gotoh, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 312 | |
| 2 | 2013 | 58 | |
| 3 | 2009 | 55 | |
| 4 | 2008 | 48 | |
| 5 | 2012 | 33 | |
| 6 | 2010 | 32 | |
| 7 | 2010 | 31 | |
| 8 | 2010 | 31 | |
| 9 | 2011 | 24 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 15 | |
| 12 | 2015 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2014 | 12 | |
| 15 | 2016 | 8 | |
| 16 | 2015 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2012 | 5 | |
| 20 | 2023 | 3 |
About Kensei Gotoh
Kensei Gotoh is a scholar working on Epidemiology, Oncology, Infectious Diseases, Microbiology and Immunology, having authored 30 papers that have together received 749 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (9 papers), Bacterial Infections and Vaccines (7 papers), Herpesvirus Infections and Treatments (7 papers), Pneumonia and Respiratory Infections (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Virology and Viral Diseases (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Oncology (408 citations), Pathology and Forensic Medicine (232 citations), Immunology (225 citations), Hematology (109 citations) and Infectious Diseases (138 citations). Kensei Gotoh has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Kimura, Yoshinori Ito, Seiji Kojima, Shinji Kawabe, Yoshiyuki Takahashi, Atsushi Kikuta, Keisei Kawa, Koichi Ohshima, Tomoki Naoe and Shigeo Nakamura. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Medical Virology, Cancer Science, Vaccine and PLoS ONE.
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.