Edward Kim
Impact in
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- Multiple Sclerosis Research Studies
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- Psoriasis: Treatment and Pathogenesis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- Radiology practices and education 2
- Corneal surgery and disorders 2
- Co-authors
- Joseph A. Bonanno (2 shared papers)Lin Xie (1 shared paper)Shimin Li (1 shared paper)Jesús Lovera (2 shared papers)Dennis Bourdette (2 shared papers)Taylor Sittler (1 shared paper)Steve Miller (1 shared paper)Charles Y. Chiu (1 shared paper)
- Journals
- Radiation Protection Dosimetry (3 papers)Patient Preference and Adherence (2 papers)The American Journal of Surgery (1 paper)Journal of Structural Biology (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Edward Kim
44 papers receiving 725 citations
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 93
- Immunology 115
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 72
- Infectious Diseases 59
Countries citing papers authored by Edward Kim
This map shows the geographic impact of Edward 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 Edward Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Kim more than expected).
Fields of papers citing papers by Edward Kim
This network shows the impact of papers produced by Edward 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 Edward Kim. The network helps show where Edward Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 135 | |
| 2 | 2013 | 63 | |
| 3 | 2014 | 55 | |
| 4 | 2013 | 50 | |
| 5 | 2010 | 50 | |
| 6 | 2015 | 46 | |
| 7 | 2012 | 42 | |
| 8 | 2017 | 33 | |
| 9 | 2016 | 33 | |
| 10 | 1999 | 21 | |
| 11 | 2014 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2015 | 16 | |
| 15 | 2002 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2011 | 10 | |
| 18 | 2009 | 10 | |
| 19 | 2005 | 9 | |
| 20 | 2003 | 8 |
About Edward Kim
Edward Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 45 papers that have together received 741 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Multiple Sclerosis Research Studies (3 papers), Radiology practices and education (2 papers), Emergency and Acute Care Studies (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Corneal surgery and disorders (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (93 citations), Immunology (115 citations), Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Infectious Diseases (59 citations). Edward Kim has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Joseph A. Bonanno, Lin Xie, Shimin Li, Jesús Lovera, Dennis Bourdette, Taylor Sittler, Steve Miller, Charles Y. Chiu, Bruce Strober and John Hackett. Their work appears in journals such as Radiation Protection Dosimetry, Patient Preference and Adherence, The American Journal of Surgery, Journal of Structural Biology and Journal of Lipid Research.
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.