C Su

1.8k citations
36 papers · 1.4k · h-index 20

Impact in

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

Papers in

C Su

34 papers receiving 1.3k citations

Peers

C Su
Comparison fields: 5 of 86
  • Physiology 214
  • Biochemistry 198
  • Physiology 610
  • Cellular and Molecular Neuroscience 435
  • Endocrine and Autonomic Systems 127
Replace Che Su with:
Che Su United States
Nicholas B. Standen United Kingdom
Sean P. Marrelli United States
Delrae M. Eckman United States
Craig B. Neylon Australia
Eva Lindgren Sweden
D Jothianandan United States
Kenneth I. Maynard United States
F H Jordaens Belgium
P.A. Kemp United Kingdom
C Su relative to Che Su United States Che Su's profile →
Citations per field
00.5×9.5×
Che Su · 1×
Citations per year

Countries citing papers authored by C Su

Since Specialization
Citations

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

Fields of papers citing papers by C Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983340
2 1978104
3 197696
4 198394
5 197890
6 197586
7 198665
8 198262
9 198255
10 202052
11 197242
12 198035
13 198234
14 197333
15 197530
16 197529
17 198529
18 198624
19 196421
20 197819

About C Su

C Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Biochemistry and Surgery, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Neuropeptides and Animal Physiology (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Hormonal Regulation and Hypertension (5 papers), Adenosine and Purinergic Signaling (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Physiology (214 citations), Biochemistry (198 citations), Physiology (610 citations), Cellular and Molecular Neuroscience (435 citations) and Endocrine and Autonomic Systems (127 citations). C Su has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include M Konishi, John A. Bevan, Takeshi Katsuragi, Hajime Kawasaki, William H. Cline, Rosemary D. Bevan, Ralph E. Purdy, D. J. Triggle, E. Luchowski and A. Rutledge. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Circulation Research, Cellular and Molecular Life Sciences, European Journal of Pharmacology and Journal of Pharmacy and 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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