Jun Su

2.1k total citations
57 papers, 1.7k citations indexed

About

Jun Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jun Su has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 13 papers in Surgery. Recurrent topics in Jun Su's work include Cardiac electrophysiology and arrhythmias (7 papers), Nausea and vomiting management (6 papers) and Anesthesia and Pain Management (6 papers). Jun Su is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Nausea and vomiting management (6 papers) and Anesthesia and Pain Management (6 papers). Jun Su collaborates with scholars based in China, United States and Canada. Jun Su's co-authors include Frances Chung, Ewan Ritchie, Joanne Fortier, Peter Scholz, Harvey R. Weiss, Ping Liang, Ling Tang, Tingyu Gong, Danni Zhou and Fengfeng Guo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Su

54 papers receiving 1.6k citations

Peers

Jun Su
Comparison fields: 5 of 106
  • Surgery 1.1k
  • Cardiology and Cardiovascular Medicine 477
  • Anesthesiology and Pain Medicine 379
  • Molecular Biology 281
  • Pediatrics, Perinatology and Child Health 185
Replace Karine Nouette‐Gaulain with:
Karine Nouette‐Gaulain France
Ah‐Young Oh South Korea
Kimitoshi Nishiwaki Japan
Eugène Vandermeersch Belgium
Ghassem E. Larijani United States
Peter Bruins Netherlands
Satoki Inoue Japan
Neal Fleming United States
Semra Gümüş Demi̇rbi̇lek Türkiye
Martin S. Mok Taiwan
Karine Nouette‐Gaulain France View profile →
Citations per field, relative to Jun Su
Jun Su · 1×
Citations per year, relative to Jun Su
Jun Su · 1×

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-authorship network of co-authors of Jun Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Su. A scholar is included among the top collaborators of Jun Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Su. Jun Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 10
4 1
5 0
6 8
7 7
8 18
9 9
10 2
11 16
12 6
13
Correlation of serum PDCD5 and Bax contents with the pathological features of tumor lesions in patients with lung cancer
1
14 25
15 9
16 5
17 3
18 15
19 11
20 103

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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