Moon Kim

77 papers receiving 2.0k citations

Peers

Moon Kim
Comparison fields: 5 of 140
  • Ophthalmology 443
  • Virology 176
  • Urology 163
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 338
Replace Graham S. Taylor with:
Graham S. Taylor United Kingdom
James Kim United States
Don X. Nguyen United States
Michael A. Bowen United States
Valerie Quarmby United States
Kenneth Y. Tsai United States
Wolfgang M. Schmidt Austria
Karen Blessing United Kingdom
Robert F. Kelley United States
John E. Pak United States
Moon Kim relative to Graham S. Taylor United Kingdom Graham S. Taylor's profile →
Citations per field
00.5×10×14.8×
Graham S. Taylor · 1×
Citations per year

Countries citing papers authored by Moon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Moon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002136
2 2006132
3 2012111
4 2013110
5 2002103
6 201993
7 200878
8 201173
9 198567
10 200563
11 200362
12 200256
13 201454
14 200850
15 201347
16 198746
17 201844
18 200944
19 200642
20 200540

About Moon Kim

Moon Kim is a scholar working on Molecular Biology, Virology, Infectious Diseases, Ophthalmology and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (18 papers), HIV Research and Treatment (11 papers), Photoreceptor and optogenetics research (9 papers), Neuroscience and Neural Engineering (7 papers), Protein Structure and Dynamics (7 papers), Financial Markets and Investment Strategies (7 papers), Retinal Diseases and Treatments (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Ophthalmology (443 citations), Virology (176 citations), Urology (163 citations), Molecular Biology (1.1k citations) and Radiology, Nuclear Medicine and Imaging (338 citations). Moon Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Gregory S. Chirikjian, Machelle T. Pardue, Robert L. Jernigan, Darin E. Olson, Peter M. Thulé, Timothy Q. Duong, Young Kwan Sung, Mi Hee Kwack, Moe H. Aung and Govind Nair. Their work appears in journals such as Investigative Ophthalmology & Visual Science, PLoS ONE, Journal of Virology, Emerging infectious diseases and Infection Control and Hospital Epidemiology.

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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