Tooru Kimura

3.9k citations
109 papers · 3.0k indexed · h-index 33

Impact in

Papers in

    • HIV Research and Treatment 19
    • Click Chemistry and Applications 18
    • Carbohydrate Chemistry and Synthesis 13

Tooru Kimura

109 papers receiving 3.0k citations

Peers

Tooru Kimura
Comparison fields: 5 of 108
  • Organic Chemistry 1.2k
  • Virology 169
  • Computational Theory and Mathematics 531
  • Molecular Biology 1.8k
  • Biomaterials 284
Replace Wieslaw M. Kazmierski with:
Wieslaw M. Kazmierski United States
Paramjit S. Arora United States
Heinz Döbeli Switzerland
Liping Yu United States
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Citations per field
00.5×3.5×
Wieslaw M. Kazmierski · 1×
Citations per year

Countries citing papers authored by Tooru Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Tooru Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tooru 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 Tooru Kimura Line = papers co-authored together Tooru Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20117
2 20091
3 200917
4 200959
5 200811
6 200824
7 200725
8 200771
9 200718
10
Application of intramolecular carbonate-carbamate migration
20061
11 200640
12 200652
13
Evaluation of Peptidomimetic Inhibitors against Malarial Protease Plasmepsin
20051
14 200581
15 200470
16 200430
17
Substrate Transition-State Analogue Inhibitors of Plasmepsin II as Antimalarial Drugs
20031
18
Spontaneously Regenerable Prodrug : Design and Synthesis of Water-soluble Prodrugs of HIV Protease Inhibitors
20011
19 199824
20 19919

About Tooru Kimura

Tooru Kimura is a scholar working on Virology, Organic Chemistry, Infectious Diseases, Computational Theory and Mathematics and Molecular Biology, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (57 papers), HIV/AIDS drug development and treatment (30 papers), HIV Research and Treatment (19 papers), Click Chemistry and Applications (18 papers), Computational Drug Discovery Methods (16 papers), Carbohydrate Chemistry and Synthesis (13 papers), T-cell and Retrovirus Studies (10 papers) and Peptidase Inhibition and Analysis (9 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Virology (169 citations), Computational Theory and Mathematics (531 citations), Molecular Biology (1.8k citations) and Biomaterials (284 citations). Tooru Kimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiaki Kiso, Yoshio Hayashi, Youhei Sohma, Koushi Hidaka, Y. Hamada, Masato Sasaki, Mariusz Skwarczyński, Atsuhiko Taniguchi, Kenichi Akaji and Hikaru Matsumoto. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Tetrahedron Letters, Journal of Peptide Science and Chemical and Pharmaceutical Bulletin.

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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