Takehiro Uemura

509 citations
21 papers · 403 indexed · h-index 10
Topics
Lung Cancer Treatments and Mutations (9 papers)Colorectal Cancer Treatments and Studies (4 papers)Clostridium difficile and Clostridium perfringens research (4 papers)
Partner nations
JapanChina

In The Last Decade

Takehiro Uemura

20 papers receiving 389 citations

Peers

Takehiro Uemura
Comparison fields: 5 of 70
  • Oncology 157
  • Pulmonary and Respiratory Medicine 153
  • Molecular Biology 123
  • Infectious Diseases 88
  • Cancer Research 41
Replace Akiko Kawabata with:
Akiko Kawabata Japan
Weixian Chen China
Anna Pagani Italy
Hideki Kuga Japan
Luigi Marongiu Germany
Grzegorz Kacprzak Poland
Lingyu Sun China
B.C. Das India
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Takehiro Uemura relative to Akiko Kawabata Japan Akiko Kawabata's profile →
Citations per field
00.5×4.6×
Akiko Kawabata · 1×
Citations per year

Countries citing papers authored by Takehiro Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Uemura. A scholar is included among the top collaborators of Takehiro Uemura 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 Takehiro Uemura. Takehiro Uemura 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 1
2 4
3 5
4 15
5 16
6 7
7 7
8
Thymidylate synthase gene copy number as a predictive marker for response to pemetrexed treatment of lung adenocarcinoma.
9
9 3
10 101
11 4
12 7
13 14
14
Enhanced expression of cyclin E and cyclin A in human hepatocellular carcinomas.
49
15 21
16 0
17 77
18 1
19
Evaluation of the ELISA as tool in diagnosing Clostridium perfringens enterotoxins.
14
20 10

About Takehiro Uemura

Takehiro Uemura is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases, having authored 21 papers that have together received 403 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Colorectal Cancer Treatments and Studies (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Oncology (157 citations), Infectious Diseases (88 citations) and Pulmonary and Respiratory Medicine (153 citations). Takehiro Uemura has collaborated with scholars based in Japan and China. Frequent co-authors include Ken Maeno, Tetsuya Oguri, Mikinori Miyazaki, Hiroaki Ozasa, Tsuneo FUKATA, Shigeki Sato, Eishi Baba, Akira Arakawa, Ryuzo Ueda and Osamu Takakuwa. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Occupational and Environmental Medicine and Cancer Science.

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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