Tomio Kimura

22 papers receiving 360 citations

Peers

Tomio Kimura
Comparison fields: 5 of 70
  • Virology 27
  • Pharmaceutical Science 24
  • Organic Chemistry 110
  • Biochemistry 23
  • Pharmacology 46
Replace Jorge Gomez‐Galeno with:
Jorge Gomez‐Galeno United States
Paresh K. Patel India
Hiroo Koyama Japan
Jacob J. Plattner United States
Matthias OTTO Germany
Hyo-Kyung Han United States
Allen W. Harrison United States
Ellen K. Kick United States
Edward H. Ruediger United States
Chao‐Pin Lee United States
Tomio Kimura relative to Jorge Gomez‐Galeno United States Jorge Gomez‐Galeno's profile →
Citations per field
00.5×1.5×1.9×
Jorge Gomez‐Galeno · 1×
Citations per year

Countries citing papers authored by Tomio Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomio Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tomio Kimura Line = papers co-authored together Tomio Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198957
2 198147
3 199941
4 200735
5 200434
6 200233
7 199918
8 199518
9 198916
10 200515
11 200513
12 200711
13 199510
14 19708
15 19844
16 20014
17 19833
18 19843
19 20003
20 19832

About Tomio Kimura

Tomio Kimura is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Virology and Oncology, having authored 22 papers that have together received 377 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers), NF-κB Signaling Pathways (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Inflammatory mediators and NSAID effects (2 papers), Synthesis and biological activity (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Virology (27 citations), Pharmaceutical Science (24 citations), Organic Chemistry (110 citations), Biochemistry (23 citations) and Pharmacology (46 citations). Tomio Kimura has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Kiyoshi Oizumi, Shigeru Ushiyama, Hiroshi Nishino, Toshio Sada, Masaaki Miyamoto, Hiroyuki Koike, Yoshihiro Wada, Tetsuo Omata, Tomoaki Komai and Takashi Nishigaki. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Journal of Pharmacology, Chemical and Pharmaceutical Bulletin, Chemotherapy and Applied Microbiology and Biotechnology.

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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