Thomas Kim

60 papers receiving 1.3k citations

Peers

Thomas Kim
Comparison fields: 5 of 164
  • Health Informatics 17
  • Anesthesiology and Pain Medicine 61
  • Toxicology 22
  • Pulmonary and Respiratory Medicine 176
  • Finance 58
Replace Jonathan Kimmelman with:
Jonathan Kimmelman Canada
Robert W. Carlson United States
Gail A. Van Norman United States
Maria Shubina United States
Yi Ye China
Collet Dandara South Africa
Paul M. Brennan United Kingdom
Antoine Tesnière France
Guido Rasi Italy
Scott Gottlieb United States
Thomas Kim relative to Jonathan Kimmelman Canada Jonathan Kimmelman's profile →
Citations per field
00.5×10×20×29×
Jonathan Kimmelman · 1×
Citations per year

Countries citing papers authored by Thomas Kim

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017187
2 2011133
3 2017127
4 2011117
5 201682
6 201470
7 202261
8 201151
9
Discrimination between neoplastic and nonneoplastic brain lesions by use of proton MR spectroscopy: the limits of accuracy with a logistic regression model.
200048
10 199842
11 201040
12 200036
13 200631
14 201830
15 200628
16 200526
17 202222
18 201521
19 201219
20 202319

About Thomas Kim

Thomas Kim is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Financial Markets and Investment Strategies (3 papers), Semiconductor materials and devices (3 papers), Reproductive Biology and Fertility (3 papers), Advancements in Photolithography Techniques (2 papers), Empathy and Medical Education (2 papers), Cancer Genomics and Diagnostics (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Health Informatics (17 citations), Anesthesiology and Pain Medicine (61 citations), Toxicology (22 citations), Pulmonary and Respiratory Medicine (176 citations) and Finance (58 citations). Thomas Kim has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Evan D. Kharasch, Sarah M. Brown, Michael J. Holtzman, Zaiqing Yang, Ping Jiao, Yaohui Nie, Nico van Rooijen, Haiyan Xu, Bin Feng and Harold A. Chapman. Their work appears in journals such as Journal of Clinical Oncology, Fertility and Sterility, PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Anesthesiology.

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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