Hisao Asamura
- Microbiology top 0.1%
- Pulmonary and Respiratory Medicine top 0.02%
- Lung Cancer Diagnosis and Treatment 168
- Lung Cancer Treatments and Mutations 148
- Medical Imaging and Pathology Studies 41
- Pleural and Pulmonary Diseases 24
- Oncology top 0.2%
- Lung Cancer Research Studies 62
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- Radiomics and Machine Learning in Medical Imaging 33
- Neurology top 0.5%
- Myasthenia Gravis and Thymoma 25
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- Neuroendocrine Tumor Research Advances 32
- Co-authors
- Ryosuke TsuchiyaKenji SuzukiRamón Rami–PortaHaruhiko KondoValerie W. RuschKoji TsutaShun-ichi WatanabeYoshihiro Matsuno
- Journals
- The Lancet (1 paper)Journal of Clinical Oncology (11 papers)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hisao Asamura
304 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Microbiology 370
- Pulmonary and Respiratory Medicine 13.3k
- Oncology 5.4k
- Radiology, Nuclear Medicine and Imaging 3.4k
- Neurology 1.8k
Countries citing papers authored by Hisao Asamura
This map shows the geographic impact of Hisao Asamura'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 Hisao Asamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisao Asamura more than expected).
Fields of papers citing papers by Hisao Asamura
This network shows the impact of papers produced by Hisao Asamura. 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 Hisao Asamura. The network helps show where Hisao Asamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hisao Asamura, 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 | 2024 | 23 | |
| 2 | The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groups in the Forthcoming (Ninth) Edition of the TNM Classification for Lung Cancerbreakdown → | 2024 | 98 |
| 3 | 2024 | 15 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 12 | |
| 9 | 2017 | 60 | |
| 10 | 2016 | 79 | |
| 11 | 2015 | 12 | |
| 12 | 2014 | 64 | |
| 13 | 2014 | 58 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 5 | |
| 16 | 2010 | 1 | |
| 17 | 2003 | 24 | |
| 18 | 2003 | 0 | |
| 19 | 2003 | 4 | |
| 20 | 1997 | 16 |
About Hisao Asamura
Hisao Asamura is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Oncology, having authored 314 papers that have together received 18.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (168 papers), Lung Cancer Treatments and Mutations (148 papers), Lung Cancer Research Studies (62 papers), Medical Imaging and Pathology Studies (41 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Neuroendocrine Tumor Research Advances (32 papers), Myasthenia Gravis and Thymoma (25 papers) and Pleural and Pulmonary Diseases (24 papers). The work is most often cited by research in Microbiology (370 citations), Pulmonary and Respiratory Medicine (13.3k citations) and Oncology (5.4k citations). Hisao Asamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ryosuke Tsuchiya, Kenji Suzuki, Ramón Rami–Porta, Haruhiko Kondo, Valerie W. Rusch, Koji Tsuta, Shun-ichi Watanabe, Yoshihiro Matsuno, Dorothy J. Giroux and Masahiro Tsuboi. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.