He Jin

43 papers receiving 502 citations

Peers

He Jin
Comparison fields: 5 of 92
  • Surfaces, Coatings and Films 40
  • Biomedical Engineering 201
  • Cardiology and Cardiovascular Medicine 103
  • Oral Surgery 23
  • Neurology 24
Replace M. Schaldach with:
M. Schaldach Germany
А. Н. Иванов Russia
Katherine S. Tweden United States
David J. Burton United States
Jia Fang China
Anne Seidlitz Germany
Shuai Xu China
Andreas Böger Germany
M. Li China
Cheng Xie China
He Jin relative to M. Schaldach Germany M. Schaldach's profile →
Citations per field
00.5×9.1×
M. Schaldach · 1×
Citations per year

Countries citing papers authored by He Jin

Since Specialization
Citations

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

Fields of papers citing papers by He Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside He 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 He Jin Line = papers co-authored together He 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 200597
2 202056
3 201255
4 201643
5 202040
6 202231
7 201323
8 201817
9 202415
10 201714
11 202214
12 202112
13 20138
14 20228
15 20227
16
[Clinical study on postpartum depression and its related factors].
20006
17 20146
18 20226
19 20085
20 20225

About He Jin

He Jin is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 514 indexed citations. Recurring topics across this work include Dielectric materials and actuators (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Atrial Fibrillation Management and Outcomes (4 papers), Ferroelectric and Piezoelectric Materials (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Congenital Heart Disease Studies (3 papers), Dental Implant Techniques and Outcomes (3 papers) and Advanced Materials and Mechanics (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (40 citations), Biomedical Engineering (201 citations), Cardiology and Cardiovascular Medicine (103 citations), Oral Surgery (23 citations) and Neurology (24 citations). He Jin has collaborated with scholars based in China, France and United States. Frequent co-authors include Henning Neubauer, Weihua Zhu, Mengxia Li, Yingwu Luo, Zheqi Chen, Junjie Zhao, Youhua Xiao, Jie Mao, Irina Kremenetskaia and Peter Vajkoczy. Their work appears in journals such as Clinical Implant Dentistry and Related Research, Macromolecular Materials and Engineering, Computers and Electronics in Agriculture, Journal of Zhejiang University SCIENCE B and Journal of Investigative Dermatology.

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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