Jonathan S. Nishimura

1.4k citations
59 papers · 1.1k · h-index 20

Impact in

    • Amino Acid Enzymes and Metabolism
    • Eicosanoids and Hypertension Pharmacology
  • Biophysics top 5%

Papers in

    • Microbial Metabolic Engineering and Bioproduction 16
    • Biochemical and Molecular Research 10
    • Chemical Synthesis and Analysis 8
    • Enzyme function and inhibition 8
    • Carbohydrate Chemistry and Synthesis 5

Jonathan S. Nishimura

59 papers receiving 1.0k citations

Peers

Jonathan S. Nishimura
Comparison fields: 5 of 89
  • Biochemistry 260
  • Biophysics 86
  • Clinical Biochemistry 96
  • Physiology 281
  • Molecular Biology 749
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan S. Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Nishimura. 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 Jonathan S. Nishimura. The network helps show where Jonathan S. Nishimura may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996153
2 196176
3 199771
4 196345
5 196443
6 197841
7 196540
8 199539
9 196936
10 197036
11 198633
12 197532
13 197530
14 199730
15 199926
16 197226
17 196226
18 197625
19 196923
20 196720

About Jonathan S. Nishimura

Jonathan S. Nishimura is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Physiology and Materials Chemistry, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (16 papers), Biochemical and Molecular Research (10 papers), Microbial Natural Products and Biosynthesis (9 papers), Chemical Synthesis and Analysis (8 papers), Enzyme function and inhibition (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Enzyme Structure and Function (7 papers) and Carbohydrate Chemistry and Synthesis (5 papers). The work is most often cited by research in Biochemistry (260 citations), Biophysics (86 citations), Clinical Biochemistry (96 citations), Physiology (281 citations) and Molecular Biology (749 citations). Jonathan S. Nishimura has collaborated with scholars based in United States, Egypt and New Zealand. Frequent co-authors include Alton Meister, Pavel Martásek, Frederick Grinnell, David M. Greenberg, Kirk McMillan, B.S.S. Masters, Glen E. Collier, L. J. Roman, Essam A. Sheta and Linda J. Roman. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical and Biophysical Research Communications, Analytical Biochemistry and Biochemical Journal.

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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