Yan Jin

1.0k citations
78 papers · 722 · h-index 16

Impact in

Papers in

Yan Jin

73 papers receiving 709 citations

Peers

Yan Jin
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 156
  • Internal Medicine 21
  • Reproductive Medicine 46
  • Physiology 20
  • Developmental Neuroscience 17
Replace Michael G. Katz with:
Michael G. Katz United States
Akihiro Tanaka Japan
Toru Kanzaki Japan
Yuyang Liu China
Peng Zhu China
Daire O’Leary Ireland
Mitsuo Tashiro Japan
Marieke C.S. Boshuizen Netherlands
Jean‐Jacques Guillosson France
H Gunn United States
Yan Jin relative to Michael G. Katz United States Michael G. Katz's profile →
Citations per field
00.5×7.7×
Michael G. Katz · 1×
Citations per year

Countries citing papers authored by Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202152
2 201643
3 202140
4 201936
5 202233
6 201733
7 201330
8 200226
9 201623
10 202222
11 201721
12 200621
13
Expression and localization of Smad1, Smad2 and Smad4 proteins in rat testis during postnatal development.
200319
14 202118
15 202118
16 202217
17 201514
18 201414
19 201013
20 201913

About Yan Jin

Yan Jin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 78 papers that have together received 722 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (9 papers), Cardiac Valve Diseases and Treatments (8 papers), Cardiac Arrhythmias and Treatments (7 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (156 citations), Internal Medicine (21 citations), Reproductive Medicine (46 citations), Physiology (20 citations) and Developmental Neuroscience (17 citations). Yan Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Huishan Wang, Zongtao Yin, Seung‐Nam Jung, Bon Seok Koo, Jae Won Chang, Ho-Ryun Won, Chan Oh, Jinsong Han, Zengwei Wang and Hae Jong Kim. Their work appears in journals such as Stem Cell Research, Archives of Virology, Seminars in Thoracic and Cardiovascular Surgery, The Thoracic and Cardiovascular Surgeon and Scientific Reports.

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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