Tsutomu Takegami
- Infectious Diseases top 2%
- Viral Infections and Vectors 12
- Hepatology top 5%
- Hepatitis C virus research 6
- Virology top 5%
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- Viral Infections and Immunology Research 7
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- Mosquito-borne diseases and control 22
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- Polyomavirus and related diseases 11
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- Plant Virus Research Studies 9
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- Full-Duplex Wireless Communications 9
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- RNA and protein synthesis mechanisms 5
Tsutomu Takegami
90 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 660
- Hepatology 282
- Virology 115
- Cardiology and Cardiovascular Medicine 530
- Public Health, Environmental and Occupational Health 474
Countries citing papers authored by Tsutomu Takegami
This map shows the geographic impact of Tsutomu Takegami'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 Tsutomu Takegami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Takegami more than expected).
Fields of papers citing papers by Tsutomu Takegami
This network shows the impact of papers produced by Tsutomu Takegami. 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 Tsutomu Takegami. The network helps show where Tsutomu Takegami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Takegami, 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 | 2021 | 6 | |
| 2 | 2017 | 10 | |
| 3 | 肺腺癌におけるHIF‐1α/HIF‐2α発現とFDG取り込みとの相関 | 2016 | 0 |
| 4 | 2012 | 9 | |
| 5 | 2012 | 10 | |
| 6 | 2011 | 29 | |
| 7 | 2010 | 9 | |
| 8 | 2010 | 7 | |
| 9 | 2009 | 22 | |
| 10 | 2008 | 22 | |
| 11 | 2008 | 4 | |
| 12 | Microvessel density: correlation with 18F-FDG uptake and prognostic impact in lung adenocarcinomas. | 2006 | 54 |
| 13 | 2006 | 8 | |
| 14 | 2005 | 12 | |
| 15 | Hepatitis C virus nonstructural protein NS(3) and telomerase activity. | 2002 | 6 |
| 16 | Characterization and E protein expression of mutant strains during persistent infection of KN73 cells with Japanese encephalitis virus. | 2002 | 9 |
| 17 | Expression of multidrug resistance protein and messenger RNA correlate with (99m)Tc-MIBI imaging in patients with lung cancer. | 2001 | 41 |
| 18 | 2000 | 24 | |
| 19 | 1994 | 25 | |
| 20 | DIFFERENCE OF HOST SPECIFICITY BETWEEN LARVA AND ADULT IN PSEUDOCALIGUS FUGU YAMAGUTI (COPEPODA, CALIGIDAE) : Taxonomy and Systematics | 1986 | 1 |
About Tsutomu Takegami
Tsutomu Takegami is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (22 papers), Viral Infections and Vectors (12 papers), Polyomavirus and related diseases (11 papers), Plant Virus Research Studies (9 papers), Full-Duplex Wireless Communications (9 papers), Viral Infections and Immunology Research (7 papers), Hepatitis C virus research (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Infectious Diseases (660 citations), Hepatology (282 citations) and Virology (115 citations). Tsutomu Takegami has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Toru Furukawa, Daitoku Sakamuro, Eckard Wimmer, Carl W. Anderson, Richard Kühn, Akio Nomoto, H. Horie, Bert L. Semler, Satoshi Koike and Akira Okitsu. Their work appears in journals such as Annals of Nuclear Medicine, Journal of Medical Virology, Plant and Cell Physiology, Microscopy Research and Technique and Virus Genes.
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.