Tomoyuki Kitagawa
- Oncology top 10%
- Cancer-related Molecular Pathways 4
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 1
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- Liver Disease Diagnosis and Treatment 2
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- Viral gastroenteritis research and epidemiology 1
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- Virus-based gene therapy research 1
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
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- Nuclear and radioactivity studies 1
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- Graphite, nuclear technology, radiation studies 1
- Co-authors
- Keiko OhtakeAkio YanagisawaKazuhiko OhashiYukinari KatoKimie NomuraRikuo MachinamiGang‐Hong LeeYo Kato
- Cited by
- OncologyCancer ResearchHepatology
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Tomoyuki Kitagawa
13 papers receiving 567 citations
Peers
Comparison fields: 5 of 64
- Oncology 330
- Cancer Research 160
- Hepatology 46
- Pathology and Forensic Medicine 92
- Surgery 201
Countries citing papers authored by Tomoyuki Kitagawa
This map shows the geographic impact of Tomoyuki Kitagawa'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 Tomoyuki Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Kitagawa more than expected).
Fields of papers citing papers by Tomoyuki Kitagawa
This network shows the impact of papers produced by Tomoyuki Kitagawa. 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 Tomoyuki Kitagawa. The network helps show where Tomoyuki Kitagawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoyuki Kitagawa, 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 | 1999 | 11 | |
| 2 | 1998 | 44 | |
| 3 | 1994 | 6 | |
| 4 | 1993 | 3 | |
| 5 | 1993 | 3 | |
| 6 | 1993 | 16 | |
| 7 | Frequent c-Ki-ras oncogene activation in mucous cell hyperplasias of pancreas suffering from chronic inflammation. | 1993 | 300 |
| 8 | 1992 | 27 | |
| 9 | Clonal growth of hepatitis B virus-integrated hepatocytes in cirrhotic liver nodules. | 1992 | 49 |
| 10 | 1990 | 1 | |
| 11 | 1989 | 45 | |
| 12 | 1989 | 50 | |
| 13 | Immortal epithelial cells of normal C3H mouse liver in culture: possible precursor populations for spontaneous hepatocellular carcinoma. | 1989 | 30 |
About Tomoyuki Kitagawa
Tomoyuki Kitagawa is a scholar working on Hepatology, Oncology and Radiological and Ultrasound Technology, having authored 13 papers that have together received 585 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Virus-based gene therapy research (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Nuclear and radioactivity studies (1 paper), Graphite, nuclear technology, radiation studies (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Oncology (330 citations), Cancer Research (160 citations) and Hepatology (46 citations). Tomoyuki Kitagawa has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Keiko Ohtake, Akio Yanagisawa, Kazuhiko Ohashi, Yukinari Kato, Kimie Nomura, Rikuo Machinami, Gang‐Hong Lee, Yo Kato, Okio Hino and Yuichi Ishikawa. Their work appears in journals such as Cancer, Carcinogenesis and Cancer Letters.
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.