Daniel Jin
Impact in
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- Mesenchymal stem cell research
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- Tissue Engineering and Regenerative Medicine
- Thyroid and Parathyroid Surgery
Papers in
- Surgery 6
- Spinal Fractures and Fixation Techniques 2
- Tissue Engineering and Regenerative Medicine 2
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- Renal and related cancers 4
- Co-authors
- D. Duane Baldwin (3 shared papers)Forrest Jellison (4 shared papers)Ryan S. Hsi (1 shared paper)Laura Perin (4 shared papers)Sargis Sedrakyan (4 shared papers)Stefano Giuliani (4 shared papers)David Warburton (1 shared paper)Gianni Carraro (1 shared paper)
- Journals
- The Journal of Urology (4 papers)Journal of the American College of Surgeons (2 papers)Journal of Endourology (2 papers)Journal of Neurotrauma (1 paper)Cell Proliferation (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Jin
19 papers receiving 595 citations
Peers
Comparison fields: 5 of 90
- Genetics 66
- Surgery 228
- Pulmonary and Respiratory Medicine 136
- Radiology, Nuclear Medicine and Imaging 64
- Obstetrics and Gynecology 20
Countries citing papers authored by Daniel Jin
This map shows the geographic impact of Daniel Jin'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 Daniel Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jin more than expected).
Fields of papers citing papers by Daniel Jin
This network shows the impact of papers produced by Daniel Jin. 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 Daniel Jin. The network helps show where Daniel Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jin, 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 | 2007 | 163 | |
| 2 | 2008 | 129 | |
| 3 | 2023 | 82 | |
| 4 | 2009 | 60 | |
| 5 | 2010 | 45 | |
| 6 | 2011 | 31 | |
| 7 | 2011 | 25 | |
| 8 | 2007 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2009 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2005 | 1 | |
| 18 | 2005 | 1 | |
| 19 | 2009 | 1 | |
| 20 | 2025 | 0 |
About Daniel Jin
Daniel Jin is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Artificial Intelligence, having authored 20 papers that have together received 623 indexed citations. Recurring topics across this work include Renal and related cancers (4 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Organ Donation and Transplantation (2 papers), Renal and Vascular Pathologies (2 papers), Spinal Fractures and Fixation Techniques (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Genetics (66 citations), Surgery (228 citations), Pulmonary and Respiratory Medicine (136 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Obstetrics and Gynecology (20 citations). Daniel Jin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include D. Duane Baldwin, Forrest Jellison, Ryan S. Hsi, Laura Perin, Sargis Sedrakyan, Stefano Giuliani, David Warburton, Gianni Carraro, Anthony Atala and Roger E. De Filippo. Their work appears in journals such as The Journal of Urology, Journal of the American College of Surgeons, Journal of Endourology, Journal of Neurotrauma and Cell Proliferation.
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.