Fumiyuki Uematsu

599 citations
15 papers · 471 indexed · h-index 11
Topics
Pharmacogenetics and Drug Metabolism (4 papers)Glutathione Transferases and Polymorphisms (3 papers)Drug Transport and Resistance Mechanisms (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Fumiyuki Uematsu

15 papers receiving 454 citations

Peers

Fumiyuki Uematsu
Comparison fields: 5 of 70
  • Molecular Biology 305
  • Pharmacology 145
  • Cancer Research 122
  • Oncology 76
  • Pathology and Forensic Medicine 72
Replace Juro Takahashi with:
Juro Takahashi Japan
Alan C. Gough United Kingdom
Samuel S. Chuang United States
GI Murray United Kingdom
Shashikiran Donthamsetty United States
Daya Shankar Srivastava India
Barbara A. Burkhart United States
F. Breillout France
P. Stasiecki Germany
Timothy He United States
Fumiyuki Uematsu relative to Juro Takahashi Japan Juro Takahashi's profile →
Citations per field
00.5×3.4×
Juro Takahashi · 1×
Citations per year

Countries citing papers authored by Fumiyuki Uematsu

Since Specialization
Citations

This map shows the geographic impact of Fumiyuki Uematsu'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 Fumiyuki Uematsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumiyuki Uematsu more than expected).

Fields of papers citing papers by Fumiyuki Uematsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fumiyuki Uematsu. 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 Fumiyuki Uematsu. The network helps show where Fumiyuki Uematsu may publish in the future.

Co-authorship network of co-authors of Fumiyuki Uematsu

This figure shows the co-authorship network connecting the top 25 collaborators of Fumiyuki Uematsu. A scholar is included among the top collaborators of Fumiyuki Uematsu 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 Fumiyuki Uematsu. Fumiyuki Uematsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 17
2 23
3 14
4 2
5 14
6 4
7 19
8 9
9 22
10
[Genetic polymorphisms of drug-metabolizing enzymes and susceptibility to lung cancer--relevance to smoking].
2
11 12
12 91
13 28
14 184
15 30

About Fumiyuki Uematsu

Fumiyuki Uematsu is a scholar working on Pharmacology, Oncology and Biophysics, having authored 15 papers that have together received 471 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Glutathione Transferases and Polymorphisms (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Pharmacology (145 citations), Cancer Research (122 citations) and Biochemistry (52 citations). Fumiyuki Uematsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Ikuko Sagami, Hideaki Kikuchi, Masakichi Motomiya, Ryunosuke Kanamaru, Tatsuya Abé, Masao Watanabe, Tetsuo Ohmachi, A Wakui, Dai Nakae and Shuntaro Ikawa. Their work appears in journals such as Nucleic Acids Research, Hepatology and Biochemical and Biophysical Research Communications.

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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