Tooru Kimura

114 papers receiving 3.2k citations

Peers

Tooru Kimura
Comparison fields: 5 of 109
  • Organic Chemistry 1.3k
  • Virology 171
  • Computational Theory and Mathematics 551
  • Molecular Biology 2.0k
  • Biomaterials 289
Replace Kenichi Akaji with:
Kenichi Akaji Japan
Wieslaw M. Kazmierski United States
Paramjit S. Arora United States
Xinli Lin United States
Heinz Döbeli Switzerland
Alexander Adibekian United States
Stuart A. Sievers United States
Michal Lebl United States
Liping Yu United States
Johnny Habchi United Kingdom
Tooru Kimura relative to Kenichi Akaji Japan Kenichi Akaji's profile →
Citations per field
00.5×1.5×2.3×
Kenichi Akaji · 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

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003180
2 2009106
3 200296
4 200595
5 200388
6 200585
7 200480
8 200377
9 200775
10 200274
11 200472
12 200369
13 200466
14 200865
15 199264
16 200961
17 200660
18 200658
19 200856
20 200455

About Tooru Kimura

Tooru Kimura is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Virology and Oncology, having authored 114 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (60 papers), HIV/AIDS drug development and treatment (31 papers), HIV Research and Treatment (20 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 (1.3k citations), Virology (171 citations), Computational Theory and Mathematics (551 citations), Molecular Biology (2.0k citations) and Biomaterials (289 citations). Tooru Kimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiaki Kiso, Yoshio Hayashi, Youhei Sohma, Y. Hamada, Koushi Hidaka, 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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