Che Su

1.2k citations
37 papers · 1.1k · h-index 18

Impact in

Papers in

Che Su

34 papers receiving 916 citations

Peers

Che Su
Comparison fields: 5 of 90
  • Physiology 183
  • Cellular and Molecular Neuroscience 362
  • Endocrine and Autonomic Systems 106
  • Physiology 379
  • Biochemistry 105
Replace Peter E. Hicks with:
Peter E. Hicks United Kingdom
C Su United States
Philip Bland‐Ward United Kingdom
A G Blakeley United Kingdom
Pamela Holton United Kingdom
B. F. Cox United States
S S Sheu United States
D W Cheung Canada
Koichiro Takasaki Japan
Julianne J. Reid Australia
Che Su relative to Peter E. Hicks United Kingdom Peter E. Hicks's profile →
Citations per field
00.5×2.8×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971180
2 1985118
3 196493
4 197380
5 198070
6 198258
7 197457
8 196943
9 198340
10 197236
11 198129
12 198325
13 198423
14 197422
15 198119
16 196518
17 196318
18 197117
19 197216
20 197313

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 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Nitric Oxide and Endothelin Effects (8 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Adenosine and Purinergic Signaling (5 papers), Inflammatory mediators and NSAID effects (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Physiology (183 citations), Cellular and Molecular Neuroscience (362 citations), Endocrine and Autonomic Systems (106 citations), Physiology (379 citations) and Biochemistry (105 citations). Che Su has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include John A. Bevan, Geoffrey Burnstock, Takao Kubo, Richard C. Ursillo, William H. Cline, Yuichiro Kamikawa, Tsutomu Uruno, G. B. Chesher, M. Anthony Verity and Takeshi Katsuragi. Their work appears in journals such as European Journal of Pharmacology, Circulation Research, Journal of Pharmacology and Experimental Therapeutics, Science and Biochemical 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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