Che Su

1.2k citations
32 papers · 948 · h-index 17

Impact in

Papers in

    • Neuropeptides and Animal Physiology 11
    • Neuroscience and Neuropharmacology Research 5
    • Neurotransmitter Receptor Influence on Behavior 4
    • Receptor Mechanisms and Signaling 7
    • Ion channel regulation and function 4

Che Su

32 papers receiving 836 citations

Peers

Che Su
Comparison fields: 5 of 92
  • Physiology 151
  • Cellular and Molecular Neuroscience 318
  • Endocrine and Autonomic Systems 98
  • Physiology 356
  • Biochemistry 88
Replace Peter E. Hicks with:
Peter E. Hicks United Kingdom
C Su United States
B. F. Cox United States
Pamela Holton United Kingdom
Yvonne Vulliemoz United States
J Staszewska-Barczak Australia
Abdallah Gharib France
D W Cheung Canada
Max Salomonsson Denmark
Julianne J. Reid Australia
Che Su relative to Peter E. Hicks United Kingdom Peter E. Hicks's profile →
Citations per field
00.5×1.5×2.5×
Peter E. Hicks · 1×
Citations per year

Countries citing papers authored by Che Su

Since Specialization
Citations

This map shows the geographic impact of Che 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 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 Su more than expected).

Fields of papers citing papers by Che Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971152
2 1985114
3 196478
4 197368
5 198062
6 198253
7 197450
8 198336
9 196932
10 197231
11 197431
12 197420
13 198319
14 198418
15 196518
16 198117
17 196316
18 197216
19 197114
20 197512

About Che Su

Che Su is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 32 papers that have together received 948 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Inflammatory mediators and NSAID effects (4 papers), Ion channel regulation and function (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Physiology (151 citations), Cellular and Molecular Neuroscience (318 citations), Endocrine and Autonomic Systems (98 citations), Physiology (356 citations) and Biochemistry (88 citations). Che Su has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include John A. Bevan, Geoffrey Burnstock, Takao Kubo, Richard C. Ursillo, William H. Cline, Yuichiro Kamikawa, Bengt Ljung, G. B. Chesher, Tsutomu Uruno and David W. Hosmer. Their work appears in journals such as European Journal of Pharmacology, Circulation Research, Journal of Vascular Research, Journal of Pharmacology and Experimental Therapeutics and Inflammation Research.

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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