Sunghwan Lim
Impact in
-
- Soft Robotics and Applications
- Anatomy and Medical Technology
Papers in
-
- Soft Robotics and Applications 9
- Anatomy and Medical Technology 3
- Surgery 9
- Surgical Simulation and Training 5
- Knee injuries and reconstruction techniques 2
- Co-authors
- Dan Stoianovici (11 shared papers)Doru Petrisor (10 shared papers)Kevin Cleary (4 shared papers)Stanley T. Fricke (3 shared papers)Karun Sharma (3 shared papers)Chunwoo Kim (1 shared paper)Pan Li (2 shared papers)Katarzyna J. Macura (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (3 papers)Journal of Endourology (3 papers)Atherosclerosis (2 papers)Journal of Pain Research (1 paper)The Knee (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Sunghwan Lim
24 papers receiving 419 citations
Peers
Comparison fields: 5 of 49
- Biomedical Engineering 202
- Neurology 51
- Pulmonary and Respiratory Medicine 103
- Radiation 27
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Sunghwan Lim
This map shows the geographic impact of Sunghwan Lim'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 Sunghwan Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghwan Lim more than expected).
Fields of papers citing papers by Sunghwan Lim
This network shows the impact of papers produced by Sunghwan Lim. 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 Sunghwan Lim. The network helps show where Sunghwan Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunghwan Lim, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 92 | |
| 2 | 2017 | 73 | |
| 3 | 2012 | 51 | |
| 4 | 2019 | 46 | |
| 5 | 1999 | 29 | |
| 6 | 2015 | 17 | |
| 7 | 2018 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2008 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2012 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2013 | 4 | |
| 20 | 2016 | 3 |
About Sunghwan Lim
Sunghwan Lim is a scholar working on Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 26 papers that have together received 424 indexed citations. Recurring topics across this work include Soft Robotics and Applications (9 papers), Surgical Simulation and Training (5 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Anatomy and Medical Technology (3 papers), Pediatric Urology and Nephrology Studies (2 papers), Digital Radiography and Breast Imaging (2 papers), Neurological disorders and treatments (2 papers) and Knee injuries and reconstruction techniques (2 papers). The work is most often cited by research in Biomedical Engineering (202 citations), Neurology (51 citations), Pulmonary and Respiratory Medicine (103 citations), Radiation (27 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Sunghwan Lim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Dan Stoianovici, Doru Petrisor, Kevin Cleary, Stanley T. Fricke, Karun Sharma, Chunwoo Kim, Pan Li, Katarzyna J. Macura, Ashley E. Ross and Mark W. Ball. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Endourology, Atherosclerosis, Journal of Pain Research and The Knee.
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.