Su Kim

1.3k citations
49 papers · 584 · h-index 13

Impact in

Papers in

Su Kim

39 papers receiving 567 citations

Peers

Su Kim
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 203
  • Pathology and Forensic Medicine 142
  • Cellular and Molecular Neuroscience 95
  • Cancer Research 63
  • Dermatology 32
Replace Yang-Yang Feng with:
Yang-Yang Feng United States
Zilin Chen China
Igor Koman Israel
Stefano Vavassori Switzerland
Laura Breen Ireland
Paweł Stocki United Kingdom
John F. McCormick United States
Emmanuel Burgeon United States
Tongbin Li United States
Kaur Alasoo Estonia
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Citations per field
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200484
2 201375
3 200068
4 200151
5 200337
6 201436
7 200125
8 200622
9 201517
10
Limitations of SRTM, Logan graphical method, and equilibrium analysis for measuring transient dopamine release with [(11)C]raclopride PET.
201317
11 202117
12 201314
13 201314
14 201810
15 20139
16 20238
17 20128
18 20147
19 20177
20 20127

About Su Kim

Su Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science, Pathology and Forensic Medicine, Cognitive Neuroscience and Genetics, having authored 49 papers that have together received 584 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Breast Lesions and Carcinomas (7 papers), Plant Virus Research Studies (5 papers), Plant Disease Resistance and Genetics (3 papers), Plant Pathogens and Fungal Diseases (3 papers), MRI in cancer diagnosis (3 papers), Breast Cancer Treatment Studies (3 papers) and Plant and Fungal Interactions Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (203 citations), Pathology and Forensic Medicine (142 citations), Cellular and Molecular Neuroscience (95 citations), Cancer Research (63 citations) and Dermatology (32 citations). Su Kim has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Evan D. Morris, Nestor de Barros, D. David Dershaw, A F Abramson, Elizabeth A. Morris, Kelly Cosgrove, Giovanni Guido Cerri, Jenna M. Sullivan, Byeang Hyean Kim and Natarajan Venkatesan. Their work appears in journals such as Radiology, Journal of Visualized Experiments, The Plant Pathology Journal, Human Brain Mapping and Journal of Pediatric Orthopaedics.

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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