Gen Tamura

3.9k total citations
98 papers, 3.1k citations indexed

About

Gen Tamura is a scholar working on Physiology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Gen Tamura has authored 98 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Physiology, 25 papers in Molecular Biology and 24 papers in Pathology and Forensic Medicine. Recurrent topics in Gen Tamura's work include Asthma and respiratory diseases (35 papers), Genetic factors in colorectal cancer (17 papers) and Epigenetics and DNA Methylation (11 papers). Gen Tamura is often cited by papers focused on Asthma and respiratory diseases (35 papers), Genetic factors in colorectal cancer (17 papers) and Epigenetics and DNA Methylation (11 papers). Gen Tamura collaborates with scholars based in Japan, United States and Greece. Gen Tamura's co-authors include Teiichi Motoyama, Ryoichi Satodate, Kunio Shirato, Chihaya Maesawa, Kunio Sano, Satoshi Nishizuka, Yasushi Suzuki, Hidekazu Shirota, Yuichi Ohkawara and Stephen J. Meltzer and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine and Oncogene.

In The Last Decade

Gen Tamura

94 papers receiving 3.0k citations

Peers

Gen Tamura
Comparison fields: 5 of 114
  • Molecular Biology 1.3k
  • Pathology and Forensic Medicine 744
  • Surgery 676
  • Physiology 646
  • Pulmonary and Respiratory Medicine 626
Replace Bruno Azzarone with:
Bruno Azzarone France
Brian J. Nickoloff United States
John C. Maize United States
Nicolás Ortonne France
Akira Yachi Japan
Norbert Sepp Austria
Angelo A. Ucci United States
Ola Winqvist Sweden
Hiroaki Ida Japan
Jarod A. Zepp United States
Bruno Azzarone France View profile →
Citations per field, relative to Gen Tamura
Gen Tamura · 1×
Citations per year, relative to Gen Tamura
Gen Tamura · 1×

Countries citing papers authored by Gen Tamura

Since Specialization
Citations

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

Fields of papers citing papers by Gen Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Tamura

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Tamura. A scholar is included among the top collaborators of Gen Tamura 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 Gen Tamura. Gen Tamura 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
# Work Indexed citations
1 0
2 4
3
[A multicenter, open-label, randomized comparison of suppressive effects on asthmatic inflammation of lower airways and improved effects on health-related QOL between HFA-BDP and fluticasone propionate].
2
4 60
5 1
6 1
7 178
8 18
9 74
10 29
11 23
12 101
13 21
14 31
15 4
16
CONDYLOMA IN AN INFANT : A CASE REPORT
1
17 2
18 53
19 48
20 44

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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