Daniel Jin
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Medical Laboratory Technology top 10%
Papers in
-
- Radiation Dose and Imaging 3
- Genetics 2
- Mesenchymal stem cell research 2
- Co-authors
- D. Duane Baldwin (3 shared papers)Forrest C. Jellison (3 shared papers)Sargis Sedrakyan (4 shared papers)Ryan S. Hsi (1 shared paper)Laura Perin (4 shared papers)Stefano Giuliani (4 shared papers)David Warburton (1 shared paper)Anthony Atala (3 shared papers)
- Journals
- The Journal of Urology (3 papers)Journal of Endourology (2 papers)Journal of the American College of Surgeons (2 papers)Cell Proliferation (1 paper)Journal of Vascular and Interventional Radiology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Daniel Jin
16 papers receiving 595 citations
Peers
Comparison fields: 5 of 65
- Genetics 89
- Medical Laboratory Technology 4
- Pulmonary and Respiratory Medicine 136
- Hematology 55
- Radiology, Nuclear Medicine and Imaging 76
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 | 162 | |
| 2 | 2008 | 132 | |
| 3 | 2023 | 103 | |
| 4 | 2009 | 59 | |
| 5 | 2010 | 46 | |
| 6 | 2011 | 31 | |
| 7 | 2011 | 27 | |
| 8 | 2007 | 22 | |
| 9 | 2020 | 12 | |
| 10 | 2009 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 2 | |
| 13 | 2005 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Daniel Jin
Daniel Jin is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Toxicology and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 621 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (3 papers), Kidney Stones and Urolithiasis Treatments (3 papers), Renal and related cancers (3 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Medical Image Segmentation Techniques (2 papers), Pluripotent Stem Cells Research (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Genetics (89 citations), Medical Laboratory Technology (4 citations), Pulmonary and Respiratory Medicine (136 citations), Hematology (55 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Daniel Jin has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include D. Duane Baldwin, Forrest C. Jellison, Sargis Sedrakyan, Ryan S. Hsi, Laura Perin, Stefano Giuliani, David Warburton, Anthony Atala, Roger E. De Filippo and Gianni Carraro. Their work appears in journals such as The Journal of Urology, Journal of Endourology, Journal of the American College of Surgeons, Cell Proliferation and Journal of Vascular and Interventional Radiology.
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.