Deborah Kim

41 papers receiving 876 citations

Peers

Deborah Kim
Comparison fields: 5 of 127
  • Transplantation 31
  • Biophysics 64
  • Cancer Research 150
  • Developmental Neuroscience 23
  • Psychiatry and Mental health 84
Replace Maciej Radek with:
Maciej Radek Poland
Shifang Zhang China
Günter Schumann United States
Jeffrey T. Guptill United States
Chantal Baron Canada
Celia Oreja‐Guevara Spain
Antonio Napolitano Italy
Devendra P. Dubey United States
Elina Starosvetsky Israel
Deborah Kim relative to Maciej Radek Poland Maciej Radek's profile →
Citations per field
00.5×1.5×2.2×
Maciej Radek · 1×
Citations per year

Countries citing papers authored by Deborah Kim

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 201878
3 199264
4 201564
5 201361
6 200759
7 201256
8 201736
9 201633
10 198630
11 201528
12 201626
13 201822
14 201621
15 201119
16 201017
17 201517
18 201714
19 201411
20 20239

About Deborah Kim

Deborah Kim is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Clinical Psychology and Infectious Diseases, having authored 42 papers that have together received 901 indexed citations. Recurring topics across this work include Maternal Mental Health During Pregnancy and Postpartum (5 papers), HIV Research and Treatment (4 papers), Genomics and Phylogenetic Studies (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Enzyme Production and Characterization (3 papers), HIV/AIDS drug development and treatment (3 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Transplantation (31 citations), Biophysics (64 citations), Cancer Research (150 citations), Developmental Neuroscience (23 citations) and Psychiatry and Mental health (84 citations). Deborah Kim has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Jian Cao, Cem Kuscu, Jarrod B. French, Michael F. Green, Adrian Raine, Dina Appleby, Daniel S. Cowen, Nadine Johnson-Farley, Jingxuan Liu and Eric D. Roth. Their work appears in journals such as Carbohydrate Research, Biomedical Optics Express, PLoS ONE, Journal of Glaucoma and Journal of Cataract & Refractive Surgery.

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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