Fernando Kim
Impact in
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- Parathyroid Disorders and Treatments
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- Kidney Stones and Urolithiasis Treatments
Papers in
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- Kidney Stones and Urolithiasis Treatments 3
- Prostate Cancer Diagnosis and Treatment 3
- Renal cell carcinoma treatment 1
- Surgery 4
- Surgical site infection prevention 2
- Co-authors
- Peter A. Pinto (4 shared papers)Louis R. Kavoussi (4 shared papers)Albert M. Ong (2 shared papers)Dan Stoianovici (3 shared papers)Lars M. Ellison (1 shared paper)Haya R. Rubin (1 shared paper)Thomas W. Jarrett (1 shared paper)Wilson Molina (3 shared papers)
- Journals
- The Journal of Urology (5 papers)Computer Aided Surgery (2 papers)Journal of the American College of Surgeons (1 paper)Urology (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Fernando Kim
14 papers receiving 213 citations
Peers
Comparison fields: 5 of 74
- Nephrology 17
- Pulmonary and Respiratory Medicine 55
- Obstetrics and Gynecology 12
- Health Informatics 2
- Public Health, Environmental and Occupational Health 37
Countries citing papers authored by Fernando Kim
This map shows the geographic impact of Fernando 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 Fernando Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Kim more than expected).
Fields of papers citing papers by Fernando Kim
This network shows the impact of papers produced by Fernando 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 Fernando Kim. The network helps show where Fernando Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 89 | |
| 2 | 2005 | 33 | |
| 3 | 1994 | 27 | |
| 4 | 2013 | 20 | |
| 5 | 2005 | 13 | |
| 6 | 2003 | 11 | |
| 7 | 2005 | 8 | |
| 8 | 2009 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2015 | 4 | |
| 11 | 2008 | 3 | |
| 12 | 2023 | 2 | |
| 13 | Primary carcinoid tumor of the bladder. | 2018 | 2 |
| 14 | 2020 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2022 | 1 |
About Fernando Kim
Fernando Kim is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Rheumatology and Obstetrics and Gynecology, having authored 16 papers that have together received 226 indexed citations. Recurring topics across this work include Urologic and reproductive health conditions (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Surgical site infection prevention (2 papers), Ureteral procedures and complications (2 papers), Renal cell carcinoma treatment (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Nephrology (17 citations), Pulmonary and Respiratory Medicine (55 citations), Obstetrics and Gynecology (12 citations), Health Informatics (2 citations) and Public Health, Environmental and Occupational Health (37 citations). Fernando Kim has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Peter A. Pinto, Louis R. Kavoussi, Albert M. Ong, Dan Stoianovici, Lars M. Ellison, Haya R. Rubin, Thomas W. Jarrett, Wilson Molina, Ernest E. Moore and David Sehrt. Their work appears in journals such as The Journal of Urology, Computer Aided Surgery, Journal of the American College of Surgeons, Urology and Journal of Surgical 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.