Tomoyasu Nishimura
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Microbiology top 2%
Papers in
-
- Tuberculosis Research and Epidemiology 37
- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Naoki HasegawaHeinz G. RemoldSamuel M. BeharMaziar DivangahiSadatomo TasakaAkitoshi IshizakaChantal MartinMatthew G. Booty
- Journals
- BMC Infectious Diseases (5 papers)Vaccine (4 papers)BMC Pulmonary Medicine (4 papers)Respiration (2 papers)Diagnostic Microbiology and Infectious Disease (2 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Tomoyasu Nishimura
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Infectious Diseases 946
- Microbiology 34
- Small Animals 221
- Epidemiology 1.0k
- Immunology 370
Countries citing papers authored by Tomoyasu Nishimura
This map shows the geographic impact of Tomoyasu Nishimura'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 Tomoyasu Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyasu Nishimura more than expected).
Fields of papers citing papers by Tomoyasu Nishimura
This network shows the impact of papers produced by Tomoyasu Nishimura. 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 Tomoyasu Nishimura. The network helps show where Tomoyasu Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoyasu Nishimura, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 12 | |
| 12 | 2017 | 40 | |
| 13 | 2017 | 7 | |
| 14 | 2016 | 108 | |
| 15 | 2015 | 35 | |
| 16 | 2014 | 4 | |
| 17 | 2011 | 343 | |
| 18 | 2009 | 23 | |
| 19 | 2006 | 13 | |
| 20 | A comparative clinical study of adjuvant chemotherapy of tumors in the head and neck areas by means of HCFU | 1991 | 3 |
About Tomoyasu Nishimura
Tomoyasu Nishimura is a scholar working on Microbiology, Infectious Diseases, Small Animals, Epidemiology and Applied Microbiology and Biotechnology, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (42 papers), Tuberculosis Research and Epidemiology (37 papers), Infectious Diseases and Mycology (15 papers), Pneumonia and Respiratory Infections (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Nausea and vomiting management (5 papers) and Infectious Diseases and Tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (946 citations), Microbiology (34 citations), Small Animals (221 citations), Epidemiology (1.0k citations) and Immunology (370 citations). Tomoyasu Nishimura has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Naoki Hasegawa, Heinz G. Remold, Samuel M. Behar, Maziar Divangahi, Sadatomo Tasaka, Akitoshi Ishizaka, Chantal Martin, Matthew G. Booty, Makoto Ishii and Takanori Asakura. Their work appears in journals such as BMC Infectious Diseases, Vaccine, BMC Pulmonary Medicine, Respiration and Diagnostic Microbiology and Infectious Disease.
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.