Tsutomu Sakuma
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 25
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- Lung Cancer Diagnosis and Treatment 25
- Respiratory Support and Mechanisms 13
- Medical Imaging and Pathology Studies 12
- Neonatal Respiratory Health Research 12
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 17
- Endocrine and Autonomic Systems top 10%
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- Estrogen and related hormone effects 11
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- Ion Transport and Channel Regulation 11
- Co-authors
- Nobuo NemotoKanokwan JarukamjornMotoyasu SagawaYoshimichi UedaMichael A. MatthayHisao TonamiHirohisa TogaKatsuo Usuda
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Tsutomu Sakuma
160 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 110
- Pharmacology 498
- Pulmonary and Respiratory Medicine 1.1k
- Radiology, Nuclear Medicine and Imaging 507
- Oncology 460
- Endocrine and Autonomic Systems 93
Countries citing papers authored by Tsutomu Sakuma
This map shows the geographic impact of Tsutomu Sakuma'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 Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Sakuma more than expected).
Fields of papers citing papers by Tsutomu Sakuma
This network shows the impact of papers produced by Tsutomu Sakuma. 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 Sakuma. The network helps show where Tsutomu Sakuma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Sakuma, 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 | 2017 | 6 | |
| 2 | 2012 | 0 | |
| 3 | 2010 | 1 | |
| 4 | 2010 | 1 | |
| 5 | 2008 | 17 | |
| 6 | 2007 | 1 | |
| 7 | 2007 | 0 | |
| 8 | Microvessel density: correlation with 18F-FDG uptake and prognostic impact in lung adenocarcinomas. | 2006 | 54 |
| 9 | 2006 | 1 | |
| 10 | 2006 | 7 | |
| 11 | 2004 | 3 | |
| 12 | 2003 | 1 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 8 | |
| 15 | 2002 | 1 | |
| 16 | 1997 | 35 | |
| 17 | 1996 | 1 | |
| 18 | 1995 | 7 | |
| 19 | 1994 | 1 | |
| 20 | 1994 | 0 |
About Tsutomu Sakuma
Tsutomu Sakuma is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine and Nephrology, having authored 171 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (25 papers), Lung Cancer Diagnosis and Treatment (25 papers), Drug Transport and Resistance Mechanisms (17 papers), Respiratory Support and Mechanisms (13 papers), Medical Imaging and Pathology Studies (12 papers), Neonatal Respiratory Health Research (12 papers), Estrogen and related hormone effects (11 papers) and Ion Transport and Channel Regulation (11 papers). The work is most often cited by research in Pharmacology (498 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Radiology, Nuclear Medicine and Imaging (507 citations). Tsutomu Sakuma has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Nobuo Nemoto, Kanokwan Jarukamjorn, Motoyasu Sagawa, Yoshimichi Ueda, Michael A. Matthay, Hisao Tonami, Hirohisa Toga, Katsuo Usuda, Kotaro Higashi and Yoshihiro Nambu. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Blood.
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.