Jun Su

2.2k citations
59 papers · 1.7k · h-index 15

Impact in

Papers in

Jun Su

55 papers receiving 1.7k citations

Peers

Jun Su
Comparison fields: 5 of 103
  • Anesthesiology and Pain Medicine 250
  • Surgery 824
  • Cardiology and Cardiovascular Medicine 332
  • Pediatrics, Perinatology and Child Health 97
  • Pathology and Forensic Medicine 81
Replace Karine Nouette‐Gaulain with:
Karine Nouette‐Gaulain France
Hiromi Fujii Japan
Neal Fleming United States
B. Biber Sweden
Ghassem E. Larijani United States
Semra Gümüş Demi̇rbi̇lek Türkiye
P. L. Goldiner United States
Yumiko Takao Japan
R Krivosic-Horber France
J. Hobbhahn Germany
Jun Su relative to Karine Nouette‐Gaulain France Karine Nouette‐Gaulain's profile →
Citations per field
00.5×1.5×1.8×
Karine Nouette‐Gaulain · 1×
Citations per year

Countries citing papers authored by Jun Su

Since Specialization
Citations

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

Fields of papers citing papers by Jun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Su Line = papers co-authored together Jun Su 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 1997364
2 1998334
3 1997323
4 1996105
5 200563
6 201947
7 201845
8 200132
9 201830
10 201728
11 201124
12 201821
13 202120
14 200417
15 202017
16 202414
17 202314
18 202313
19 200513
20 201313

About Jun Su

Jun Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Physiology and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Nausea and vomiting management (5 papers), Pluripotent Stem Cells Research (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Phosphodiesterase function and regulation (3 papers), Anesthesia and Pain Management (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (250 citations), Surgery (824 citations), Cardiology and Cardiovascular Medicine (332 citations), Pediatrics, Perinatology and Child Health (97 citations) and Pathology and Forensic Medicine (81 citations). Jun Su has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Frances Chung, Ewan Ritchie, Joanne Fortier, Peter Scholz, Harvey R. Weiss, Ping Liang, Ling Tang, Tingyu Gong, Danni Zhou and James Tse. Their work appears in journals such as Stem Cell Research, Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, Anesthesia & Analgesia and Canadian Journal of Anesthesia/Journal canadien d anesthésie.

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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