Tsutomu Sakuma

3.7k citations
171 papers · 2.9k indexed · h-index 32
Topics
Pharmacogenetics and Drug Metabolism (25 papers)Lung Cancer Diagnosis and Treatment (25 papers)Drug Transport and Resistance Mechanisms (17 papers)

In The Last Decade

Tsutomu Sakuma

160 papers receiving 2.8k citations

Peers

Tsutomu Sakuma
Comparison fields: 5 of 110
  • Pulmonary and Respiratory Medicine 1.1k
  • Molecular Biology 705
  • Radiology, Nuclear Medicine and Imaging 507
  • Pharmacology 498
  • Oncology 460
Replace Masaki Kaibori with:
Masaki Kaibori Japan
Junichi Shoda Japan
Jean‐Michel Fabre France
Carmen Gómez‐Guerrero Spain
Antoinette Lemoine France
Kiyohiko Dohi Japan
José Tuñón Spain
Alexander Wree Germany
Kunihiko Izuishi Japan
Sven Francque Belgium
Tsutomu Sakuma relative to Masaki Kaibori Japan Masaki Kaibori's profile →
Citations per field
00.5×3.7×
Masaki Kaibori · 1×
Citations per year

Countries citing papers authored by Tsutomu Sakuma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tsutomu Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Sakuma. A scholar is included among the top collaborators of Tsutomu Sakuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsutomu Sakuma. Tsutomu Sakuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 1
4 1
5 17
6 1
7 0
8
Microvessel density: correlation with 18F-FDG uptake and prognostic impact in lung adenocarcinomas.
54
9 1
10 7
11 3
12 1
13 1
14 8
15 1
16 35
17 1
18 7
19 1
20 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) and Drug Transport and Resistance Mechanisms (17 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.

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