Alice Kim

2.2k citations
54 papers · 713 · h-index 12

Impact in

Papers in

Alice Kim

48 papers receiving 698 citations

Peers

Alice Kim
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 231
  • Infectious Diseases 96
  • Epidemiology 94
  • General Dentistry 4
  • Health Informatics 3
Replace Dawn Harris with:
Dawn Harris Ireland
Hoang V. Tran United States
Franco Rossi United States
Lauren E. Miller United States
Arunansu Talukdar India
Tong Zhang China
Gilbert T. Chua Hong Kong
Jacqueline McCormack United Kingdom
Gayle Olson United States
Dino Gibertoni Italy
Alice Kim relative to Dawn Harris Ireland Dawn Harris's profile →
Citations per field
00.5×1.7×
Dawn Harris · 1×
Citations per year

Countries citing papers authored by Alice Kim

Since Specialization
Citations

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

Fields of papers citing papers by Alice Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 200587
3 202063
4 201658
5 201829
6 201827
7 201721
8 201116
9
Correlation of apparent diffusion coefficient with neuropsychological testing in temporal lobe epilepsy.
200515
10 201814
11 201212
12 201912
13 202111
14 201111
15 200711
16 202111
17 201910
18 20109
19 20209
20 20159

About Alice Kim

Alice Kim is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Education, having authored 54 papers that have together received 713 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (4 papers), Telemedicine and Telehealth Implementation (4 papers), Biomedical and Engineering Education (4 papers), HIV/AIDS Research and Interventions (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Higher Education Learning Practices (2 papers) and Cognitive Abilities and Testing (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (231 citations), Infectious Diseases (96 citations), Epidemiology (94 citations), General Dentistry (4 citations) and Health Informatics (3 citations). Alice Kim has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Steven M. Gordon, Bruce L. Wilkoff, Khaldoun G. Tarakji, Thomas G. Fraser, Daniel J. Cantillon, Eric Chan, Tingfei Hu, Steven Schmitt, Caroline J. Speed and S. Lance Macaulay. Their work appears in journals such as Vocations and Learning, Innovation in Aging, Journal of the American College of Cardiology, Trials and PLoS ONE.

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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