Koichi Hagiwara
- Oncology top 0.5%
- Colorectal Cancer Treatments and Studies 26
- Lung Cancer Research Studies 23
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Treatments and Mutations 56
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 24
- Lung Cancer Diagnosis and Treatment 22
- Medical Imaging and Pathology Studies 15
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 15
- Molecular Biology top 2%
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- Sarcoidosis and Beryllium Toxicity Research 14
Koichi Hagiwara
173 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Oncology 4.2k
- Pulmonary and Respiratory Medicine 4.2k
- Cancer Research 1.6k
- Molecular Biology 3.2k
- Pathology and Forensic Medicine 523
Countries citing papers authored by Koichi Hagiwara
This map shows the geographic impact of Koichi Hagiwara'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 Koichi Hagiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Hagiwara more than expected).
Fields of papers citing papers by Koichi Hagiwara
This network shows the impact of papers produced by Koichi Hagiwara. 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 Koichi Hagiwara. The network helps show where Koichi Hagiwara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koichi Hagiwara, 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 | 2022 | 53 | |
| 3 | 2022 | 9 | |
| 4 | TFF-1 Functions to Suppress Multiple Phenotypes Associated with Lung Cancer Progression | 2021 | 1 |
| 5 | 2021 | 52 | |
| 6 | 2021 | 25 | |
| 7 | 2019 | 97 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 26 | |
| 12 | 2015 | 9 | |
| 13 | 2014 | 163 | |
| 14 | 2012 | 96 | |
| 15 | 2011 | 0 | |
| 16 | 2009 | 369 | |
| 17 | 2008 | 72 | |
| 18 | 2005 | 77 | |
| 19 | 2003 | 107 | |
| 20 | Pathology in Monkeys experimentally infected with Measles Virus. | 1954 | 9 |
About Koichi Hagiwara
Koichi Hagiwara is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 189 papers that have together received 8.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (56 papers), Colorectal Cancer Treatments and Studies (26 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (24 papers), Lung Cancer Research Studies (23 papers), Lung Cancer Diagnosis and Treatment (22 papers), Cancer Genomics and Diagnostics (15 papers), Medical Imaging and Pathology Studies (15 papers) and Sarcoidosis and Beryllium Toxicity Research (14 papers). The work is most often cited by research in Oncology (4.2k citations), Pulmonary and Respiratory Medicine (4.2k citations) and Cancer Research (1.6k citations). Koichi Hagiwara has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kunihiko Kobayashi, Fumimaro Takaku, Toshihiro Nukiwa, Akira Inoue, Akihiko Gemma, Makoto Maemondo, Tomoaki Tanaka, Hitoshi Miyazawa, Satoshi Morita and Yoshiro Maru. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.