Kai Jin

997 citations
35 papers · 631 · h-index 12

Impact in

Papers in

Kai Jin

31 papers receiving 617 citations

Peers

Kai Jin
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 226
  • Obstetrics and Gynecology 23
  • General Health Professions 73
  • Rehabilitation 17
  • Public Health, Environmental and Occupational Health 70
Replace Inger Ariansen with:
Inger Ariansen Norway
Mery Cortés-Bergoderi United States
Priscila Valverde de Oliveira Vitorino Brazil
Emanuele Rocco Villani Italy
Laura de Keizer Australia
C. Murata Japan
Mohammad Sobhan Sheikh Andalibi Iran
Anoushka M. Afonso United States
Eva Nagele Austria
Peter Garvin Sweden
Kai Jin relative to Inger Ariansen Norway Inger Ariansen's profile →
Citations per field
00.5×5.7×
Inger Ariansen · 1×
Citations per year

Countries citing papers authored by Kai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 201799
3 201764
4 201745
5 201531
6 201829
7 202228
8 201924
9 201720
10 202220
11 201812
12 201612
13 20219
14 20219
15 20208
16 20228
17 20238
18 20256
19 20225
20 20214

About Kai Jin

Kai Jin is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 35 papers that have together received 631 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (3 papers), Physical Activity and Health (3 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Brain Metastases and Treatment (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (226 citations), Obstetrics and Gynecology (23 citations), General Health Professions (73 citations), Rehabilitation (17 citations) and Public Health, Environmental and Occupational Health (70 citations). Kai Jin has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include Ding Ding, Lis Neubeck, Robyn Gallagher, Binh Nguyen, Ben Freedman, Janice Gullick, Fung Kuen Koo, Alexander M. Clark, Tom Briffa and Adrian Bauman. Their work appears in journals such as European Journal of Cardiovascular Nursing, Journal of Advanced Nursing, BMC Medicine, The American Journal of Surgery and International Journal of Cardiology.

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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