Che-Min Su

1.8k citations
37 papers · 1.6k · h-index 20

Impact in

  • Physiology top 1%
    • Nitric Oxide and Endothelin Effects
    • Adenosine and Purinergic Signaling
    • Eicosanoids and Hypertension Pharmacology

Papers in

Che-Min Su

36 papers receiving 1.4k citations

Peers

Che-Min Su
Comparison fields: 5 of 88
  • Physiology 260
  • Biochemistry 217
  • Cellular and Molecular Neuroscience 500
  • Physiology 662
  • Endocrine and Autonomic Systems 142
Replace Che Su with:
Che Su United States
Nicholas B. Standen United Kingdom
Eva Lindgren Sweden
Delrae M. Eckman United States
Sean P. Marrelli United States
Craig B. Neylon Australia
Desingarao Jothianandan United States
Philip A Bland-Ward United Kingdom
François H. Jordaens Belgium
A Gibson United Kingdom
Che-Min Su relative to Che Su United States Che Su's profile →
Citations per field
00.5×2×4×6.7×
Che Su · 1×
Citations per year

Countries citing papers authored by Che-Min Su

Since Specialization
Citations

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

Fields of papers citing papers by Che-Min Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Min Su. 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 Che-Min Su. The network helps show where Che-Min Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983353
2 1978111
3 1983110
4 1978108
5 1975104
6 1976102
7 198668
8 198265
9 198258
10 202056
11 197248
12 198245
13 198044
14 197340
15 197533
16 197533
17 198532
18 198626
19 196426
20 202021

About Che-Min Su

Che-Min Su is a scholar working on Cellular and Molecular Neuroscience, Biochemistry, Physiology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Hormonal Regulation and Hypertension (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Adenosine and Purinergic Signaling (4 papers) and Veterinary Pharmacology and Anesthesia (3 papers). The work is most often cited by research in Physiology (260 citations), Biochemistry (217 citations), Cellular and Molecular Neuroscience (500 citations), Physiology (662 citations) and Endocrine and Autonomic Systems (142 citations). Che-Min Su has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include M Konishi, John A. Bevan, Takeshi Katsuragi, William H. Cline, Hajime Kawasaki, Rosemary D. Bevan, Ralph Earl Purdy, D. J. Triggle, Aleta Rutledge and Elizabeth Luchowski. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Circulation Research, Journal of Pharmacy and Pharmacology, Cellular and Molecular Life Sciences and European Journal of Pharmacology.

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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