Eugene Kim

3.1k citations
98 papers · 2.4k · h-index 27

Impact in

Papers in

Eugene Kim

91 papers receiving 2.3k citations

Peers

Eugene Kim
Comparison fields: 5 of 146
  • Biological Psychiatry 77
  • Endocrine and Autonomic Systems 97
  • Physiology 351
  • Neurology 114
  • Modeling and Simulation 62
Replace Johannes Haybaeck with:
Johannes Haybaeck Austria
Marjan Slak Rupnik Slovenia
François Berger France
Marie‐Odile Jauberteau France
Ali Ertürk Germany
Li Zhao China
Ruiyun Peng China
Stephen M. Sims Canada
Ling Fu China
Pablo Blinder Israel
Eugene Kim relative to Johannes Haybaeck Austria Johannes Haybaeck's profile →
Citations per field
00.5×3.6×
Johannes Haybaeck · 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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993365
2 2000258
3 2016119
4 2005106
5 202099
6 200889
7 201968
8 201367
9 200665
10 201252
11 199548
12 201447
13 200245
14 202241
15 201141
16 200938
17 199438
18 201837
19 200536
20 201632

About Eugene Kim

Eugene Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Molecular Biology, Biomedical Engineering and Physiology, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (11 papers), Organic Electronics and Photovoltaics (10 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Thin-Film Transistor Technologies (8 papers), Organic Light-Emitting Diodes Research (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Biological Psychiatry (77 citations), Endocrine and Autonomic Systems (97 citations), Physiology (351 citations), Neurology (114 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, Yayoi Ikeda, Marie‐Pierre Moisan, Deepak S. Lala, Xunrong Luo, K L Parker, Aleksander S. Popel, Gabriele V. Ronnett, Leslie E. Landree and Edward J. Krämer. Their work appears in journals such as Scientific Reports, Journal of Allergy and Clinical Immunology, Journal of Magnetic Resonance Imaging, Macromolecules and Angiogenesis.

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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