Jane Kim

114 papers receiving 2.4k citations

Peers

Jane Kim
Comparison fields: 5 of 158
  • Health Informatics 29
  • Applied Psychology 100
  • Oncology 477
  • Epidemiology 528
  • Dermatology 131
Replace Sung Won Choi with:
Sung Won Choi United States
Sabine Oertelt‐Prigione Germany
Birgit I. Lissenberg‐Witte Netherlands
Richard J. Cohn Australia
Amber Salter United States
M. Dawn Teare United Kingdom
Kathryn Osann United States
Rebecca Morris United Kingdom
Diana Harcourt United Kingdom
Michael M. Johns United States
Jane Kim relative to Sung Won Choi United States Sung Won Choi's profile →
Citations per field
00.5×1.5×2.0×
Sung Won Choi · 1×
Citations per year

Countries citing papers authored by Jane Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jane Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stiffness after total knee arthroplasty. Prevalence of the complication and outcomes of revision.
2004211
2 2000195
3 2016174
4 2012163
5 2020126
6 2012101
7 202096
8 200487
9 202082
10 200867
11 201066
12 200559
13 200549
14 201748
15 201945
16 200343
17 200540
18 201536
19 201235
20 201235

About Jane Kim

Jane Kim is a scholar working on Health Informatics, Applied Psychology, Family Practice, General Health Professions and Clinical Psychology, having authored 123 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ethics in Clinical Research (11 papers), Artificial Intelligence in Healthcare and Education (9 papers), Cervical Cancer and HPV Research (9 papers), Global Cancer Incidence and Screening (8 papers), Healthcare Decision-Making and Restraints (8 papers), Digital Mental Health Interventions (7 papers), Ethics in medical practice (7 papers) and Eating Disorders and Behaviors (6 papers). The work is most often cited by research in Health Informatics (29 citations), Applied Psychology (100 citations), Oncology (477 citations), Epidemiology (528 citations) and Dermatology (131 citations). Jane Kim has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Paul A. Lotke, Charles L. Nelson, Laura Weiss Roberts, Manisha Desai, Jess H. Lonner, Rebecca A. Bernert, Nigam H. Shah, Ruth Melia, Freddy Abnousi and Douglas K. Rex. Their work appears in journals such as Journal of Psychiatric Research, Journal of Bone and Joint Surgery, Journal of Empirical Research on Human Research Ethics, Academic Psychiatry and Contemporary Clinical Trials.

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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