Su Kim

1.2k citations
45 papers · 588 · h-index 13

Impact in

Papers in

Su Kim

37 papers receiving 571 citations

Peers

Su Kim
Comparison fields: 5 of 103
  • Radiology, Nuclear Medicine and Imaging 184
  • Pathology and Forensic Medicine 117
  • Cellular and Molecular Neuroscience 87
  • Cancer Research 45
  • Dermatology 24
Replace Zilin Chen with:
Zilin Chen China
Igor Koman Israel
Tongbin Li United States
Natarajan Perumal Germany
S.X. Yan United States
Viktoriia E. Baksheeva Russia
Lauren Evoy Davis United States
Brent Larsen United States
Yue Pan China
Su Kim relative to Zilin Chen China Zilin Chen's profile →
Citations per field
00.5×10×20×30×37×
Zilin Chen · 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 200484
2 201376
3 200068
4 200152
5 200337
6 201436
7 200125
8 200623
9 202118
10 201517
11
Limitations of SRTM, Logan graphical method, and equilibrium analysis for measuring transient dopamine release with [(11)C]raclopride PET.
201317
12 201315
13 201314
14 201811
15 20239
16 20139
17 20178
18 20128
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 588 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 (184 citations), Pathology and Forensic Medicine (117 citations), Cellular and Molecular Neuroscience (87 citations), Cancer Research (45 citations) and Dermatology (24 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, Giovanni Guido Cerri, D. David Dershaw, Laura Liberman, Kelly Cosgrove, Elizabeth A. Morris, A F Abramson, Jenna M. Sullivan and Byeang Hyean Kim. Their work appears in journals such as Journal of Visualized Experiments, Radiology, The Plant Pathology Journal, PLoS ONE and Human Brain Mapping.

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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