Naoki Hasegawa
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 73
- SARS-CoV-2 and COVID-19 Research 16
- Microbiology top 1%
- Small Animals top 0.5%
- Infectious Diseases and Mycology 40
- Epidemiology top 1%
- Mycobacterium research and diagnosis 103
- Pneumonia and Respiratory Infections 18
- Clinical Biochemistry top 1%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 24
- Respiratory Support and Mechanisms 18
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- Immune Response and Inflammation 18
- Co-authors
- Akitoshi IshizakaSadatomo TasakaTomoyasu NishimuraHo NamkoongMakoto IshiiWakako YamadaTomoko BetsuyakuHidefumi Koh
- Journals
- BMC Pulmonary Medicine (8 papers)American Journal of Respiratory and Critical Care Medicine (8 papers)BMC Infectious Diseases (7 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naoki Hasegawa
275 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 155
- Infectious Diseases 1.5k
- Microbiology 60
- Small Animals 545
- Epidemiology 2.2k
- Clinical Biochemistry 328
Countries citing papers authored by Naoki Hasegawa
This map shows the geographic impact of Naoki Hasegawa'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 Naoki Hasegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Hasegawa more than expected).
Fields of papers citing papers by Naoki Hasegawa
This network shows the impact of papers produced by Naoki Hasegawa. 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 Naoki Hasegawa. The network helps show where Naoki Hasegawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoki Hasegawa, 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 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 4 | |
| 13 | Development of Rheumatoid Arthritis in Cavitary Mycobacterium avium Pulmonary Disease: A Case Report of Successful Treatment with CTLA4-Ig (Abatacept) | 2022 | 1 |
| 14 | 2021 | 1 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 3 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 5 | |
| 20 | 2004 | 1 |
About Naoki Hasegawa
Naoki Hasegawa is a scholar working on Infectious Diseases, Small Animals and Microbiology, having authored 289 papers that have together received 5.0k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (103 papers), Tuberculosis Research and Epidemiology (73 papers), Infectious Diseases and Mycology (40 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (24 papers), Respiratory Support and Mechanisms (18 papers), Immune Response and Inflammation (18 papers), Pneumonia and Respiratory Infections (18 papers) and SARS-CoV-2 and COVID-19 Research (16 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Microbiology (60 citations) and Small Animals (545 citations). Naoki Hasegawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akitoshi Ishizaka, Sadatomo Tasaka, Tomoyasu Nishimura, Ho Namkoong, Makoto Ishii, Wakako Yamada, Tomoko Betsuyaku, Hidefumi Koh, Takanori Asakura and Yasushi Nakano. Their work appears in journals such as BMC Pulmonary Medicine, American Journal of Respiratory and Critical Care Medicine, BMC Infectious Diseases, Respiratory Medicine and Respirology.
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.