Terutoshi Kimura

4.2k citations
119 papers · 3.4k · h-index 29

Impact in

Papers in

    • Chemical Synthesis and Analysis 41
    • Receptor Mechanisms and Signaling 14
    • Glycosylation and Glycoproteins Research 12
    • Fibroblast Growth Factor Research 9
    • Click Chemistry and Applications 8

Terutoshi Kimura

117 papers receiving 3.3k citations

Peers

Terutoshi Kimura
Comparison fields: 5 of 118
  • Cell Biology 680
  • Cellular and Molecular Neuroscience 617
  • Molecular Biology 2.3k
  • Microbiology 166
  • Immunology and Allergy 158
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Terutoshi Kimura relative to Kiichiro Nakajima Japan Kiichiro Nakajima's profile →
Citations per field
00.5×4.3×
Kiichiro Nakajima · 1×
Citations per year

Countries citing papers authored by Terutoshi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Terutoshi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977334
2 1999264
3 1998198
4 1978172
5 2002117
6 1986104
7 1989103
8 1997100
9 199187
10 197883
11 198879
12 199863
13 198163
14 199261
15 197760
16 199156
17 199650
18 198550
19 198947
20 199547

About Terutoshi Kimura

Terutoshi Kimura is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Physiology and Cell Biology, having authored 119 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (41 papers), Neuropeptides and Animal Physiology (17 papers), Proteoglycans and glycosaminoglycans research (17 papers), Receptor Mechanisms and Signaling (14 papers), Glycosylation and Glycoproteins Research (12 papers), Nitric Oxide and Endothelin Effects (10 papers), Fibroblast Growth Factor Research (9 papers) and Click Chemistry and Applications (8 papers). The work is most often cited by research in Cell Biology (680 citations), Cellular and Molecular Neuroscience (617 citations), Molecular Biology (2.3k citations), Microbiology (166 citations) and Immunology and Allergy (158 citations). Terutoshi Kimura has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Shumpei Sakakibara, Yuji Nishiuchi, Takashi Muramatsu, Katsumi Takada, Kenji Kadomatsu, Tatsuya Inui, Takashi Morita, Sadaaki Iwanaga, Hideki Nishio and Hisaya Kuroda. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Peptide Science, Tetrahedron Letters, Chemical and Pharmaceutical Bulletin and The Journal of Biochemistry.

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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