Eugene Kim

88 papers receiving 2.2k citations

Peers

Eugene Kim
Comparison fields: 5 of 145
  • Biological Psychiatry 77
  • Endocrine and Autonomic Systems 115
  • Neurology 119
  • Physiology 352
  • Modeling and Simulation 62
Replace Marjan Slak Rupnik with:
Marjan Slak Rupnik Slovenia
M. Waleed Gaber United States
Ruiyun Peng China
François Berger France
Ali Ertürk Germany
Mahlon D. Johnson United States
Paul F. Morrison United States
Stephen M. Sims Canada
Makoto Ohno Japan
Marie‐Odile Jauberteau France
Eugene Kim relative to Marjan Slak Rupnik Slovenia Marjan Slak Rupnik's profile →
Citations per field
00.5×3.3×
Marjan Slak Rupnik · 1×
Citations per year

Countries citing papers authored by Eugene Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993340
2 2000241
3 2016116
4 2005101
5 202098
6 200886
7 201965
8 201363
9 200661
10 201251
11 199546
12 201442
13 200242
14 201141
15 202238
16 201836
17 200535
18 200935
19 199434
20 201630

About Eugene Kim

Eugene Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation, Biological Psychiatry, Aging and Behavioral Neuroscience, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Advanced MRI Techniques and Applications (11 papers), Organic Electronics and Photovoltaics (10 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Thin-Film Transistor Technologies (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Organic Light-Emitting Diodes Research (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Biological Psychiatry (77 citations), Endocrine and Autonomic Systems (115 citations), Neurology (119 citations), Physiology (352 citations) and Modeling and Simulation (62 citations). Eugene Kim has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Arvind P. Pathak, Marie‐Pierre Moisan, Deepak S. Lala, Xunrong Luo, K L Parker, Yayoi Ikeda, Aleksander S. Popel, Gabriele V. Ronnett, Jiangyang Zhang and Leslie E. Landree. Their work appears in journals such as Scientific Reports, Journal of Allergy and Clinical Immunology, Applied Surface Science, Magnetic Resonance in Medicine and Journal of Cerebral Blood Flow & Metabolism.

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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