Su Kim

1.2k citations
45 papers · 636 · h-index 13

Impact in

Papers in

Su Kim

37 papers receiving 609 citations

Peers

Su Kim
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 199
  • Pathology and Forensic Medicine 129
  • Cellular and Molecular Neuroscience 91
  • Cancer Research 56
  • Dermatology 27
Replace Igor Koman with:
Igor Koman Israel
Aparna Banerjee Dixit India
Lauren Gravitz United States
Natarajan Perumal Germany
Tongbin Li United States
U. Schwuléra Germany
Daniel Osorio United States
Alison Abbott United Kingdom
Christina Milburn United States
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Su Kim relative to Igor Koman Israel Igor Koman's profile →
Citations per field
00.5×2×4×6×8×9.5×
Igor Koman · 1×
Citations per year

Countries citing papers authored by Su Kim

Since Specialization
Citations

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

Fields of papers citing papers by Su Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200495
2 201380
3 200077
4 200155
5 200341
6 201437
7 200127
8 200623
9 202122
10 201519
11
Limitations of SRTM, Logan graphical method, and equilibrium analysis for measuring transient dopamine release with [(11)C]raclopride PET.
201318
12 201317
13 201315
14 201811
15 201310
16 201210
17 20239
18 20178
19 20127
20 20147

About Su Kim

Su Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science, Pathology and Forensic Medicine, Cognitive Neuroscience and Cell Biology, having authored 45 papers that have together received 636 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Plant Virus Research Studies (5 papers), Breast Lesions and Carcinomas (4 papers), Plant and Fungal Interactions Research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Functional Brain Connectivity Studies (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (199 citations), Pathology and Forensic Medicine (129 citations), Cellular and Molecular Neuroscience (91 citations), Cancer Research (56 citations) and Dermatology (27 citations). Su Kim has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Nestor de Barros, Evan D. Morris, D. David Dershaw, Giovanni Guido Cerri, A F Abramson, Laura Liberman, Elizabeth A. Morris, Byeang Hyean Kim, Jenna M. Sullivan and Kelly Cosgrove. Their work appears in journals such as Radiology, The Plant Pathology Journal, Journal of Visualized Experiments, Medicine and American Journal of Roentgenology.

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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