Jun Jin

600 citations
50 papers · 424 indexed · h-index 13

Impact in

Papers in

Jun Jin

45 papers receiving 421 citations

Peers

Jun Jin
Comparison fields: 5 of 91
  • Endocrine and Autonomic Systems 82
  • Genetics 144
  • Cardiology and Cardiovascular Medicine 88
  • Genetics 36
  • Pulmonary and Respiratory Medicine 102
Replace Monika Mattesich with:
Monika Mattesich Austria
Kavitha Ramaswamy United States
John J. Feng United States
Angela Maria Spinola‐Castro Brazil
Brandon Greene Germany
Akihiro Nishimura Japan
Natasha N. Chattergoon United States
A Díez-Caballero Spain
Olcay Evliyaoğlu Türkiye
Levent Akman Türkiye
Jun Jin relative to Monika Mattesich Austria Monika Mattesich's profile →
Citations per field
00.5×2.7×
Monika Mattesich · 1×
Citations per year

Countries citing papers authored by Jun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200554
2 201231
3 201526
4 201921
5 201421
6 201519
7 200818
8 200817
9 201515
10 201515
11 201914
12 201613
13 201812
14 201612
15 202010
16 202110
17 20239
18 20169
19 20147
20 20217

About Jun Jin

Jun Jin is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 50 papers that have together received 424 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (13 papers), Cardiac Imaging and Diagnostics (7 papers), Neuroscience of respiration and sleep (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Coronary Interventions and Diagnostics (5 papers), Aortic Disease and Treatment Approaches (5 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (82 citations), Genetics (144 citations), Cardiology and Cardiovascular Medicine (88 citations), Genetics (36 citations) and Pulmonary and Respiratory Medicine (102 citations). Jun Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lan Huang, Jihang Zhang, Shiyong Yu, Jun Qin, Yaoming Song, Jianfei Chen, Shizhu Bian, Xiaojing Wu, Bin Cui and Jie Yu. Their work appears in journals such as PLoS ONE, International Journal of Cardiology, European Journal of Heart Failure, BioMed Research International and Frontiers in Cardiovascular Medicine.

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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