Shaoping Deng
Impact in
- Transplantation top 1%
-
- Diabetes Management and Research
- Diabetes Treatment and Management
Papers in
- Surgery 86
- Pancreatic function and diabetes 53
- Xenotransplantation and immune response 24
- Co-authors
- James F. Markmann (45 shared papers)Ali Naji (22 shared papers)Léo H. Bühler (11 shared papers)Christian Widmann (2 shared papers)Bernard Thorens (2 shared papers)Philippe Morel (2 shared papers)Clyde F. Barker (13 shared papers)Zhong‐Xiu Chen (7 shared papers)
- Journals
- Transplantation (13 papers)Diabetes (10 papers)Xenotransplantation (8 papers)American Journal of Transplantation (6 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Shaoping Deng
185 papers receiving 5.0k citations
Shaoping Deng's Hit Papers
Peers
Comparison fields: 5 of 153
- Transplantation 279
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 2.4k
- Sensory Systems 213
- Genetics 1.2k
Countries citing papers authored by Shaoping Deng
This map shows the geographic impact of Shaoping Deng'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 Shaoping Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Deng more than expected).
Fields of papers citing papers by Shaoping Deng
This network shows the impact of papers produced by Shaoping Deng. 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 Shaoping Deng. The network helps show where Shaoping Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoping Deng, 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 455 | |
| 2 | 2004 | 278 | |
| 3 | 2006 | 228 | |
| 4 | 2014 | 201 | |
| 5 | 2003 | 139 | |
| 6 | 2003 | 135 | |
| 7 | 2003 | 130 | |
| 8 | 2003 | 123 | |
| 9 | 2006 | 107 | |
| 10 | 1993 | 105 | |
| 11 | 2003 | 97 | |
| 12 | 2008 | 96 | |
| 13 | 2004 | 95 | |
| 14 | 2012 | 89 | |
| 15 | 2003 | 86 | |
| 16 | 2007 | 82 | |
| 17 | 2007 | 69 | |
| 18 | 2004 | 67 | |
| 19 | Global expression analysis of well-differentiated pancreatic endocrine neoplasms using oligonucleotide microarrays. | 2003 | 66 |
| 20 | 2010 | 62 |
About Shaoping Deng
Shaoping Deng is a scholar working on Surgery, Molecular Biology, Genetics, Immunology and Biomedical Engineering, having authored 196 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (53 papers), Biochemical Analysis and Sensing Techniques (29 papers), Advanced Chemical Sensor Technologies (28 papers), Diabetes and associated disorders (27 papers), T-cell and B-cell Immunology (26 papers), Xenotransplantation and immune response (24 papers), Immune Cell Function and Interaction (23 papers) and Diabetes Management and Research (21 papers). The work is most often cited by research in Transplantation (279 citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Surgery (2.4k citations), Sensory Systems (213 citations) and Genetics (1.2k citations). Shaoping Deng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include James F. Markmann, Ali Naji, Léo H. Bühler, Christian Widmann, Bernard Thorens, Philippe Morel, Clyde F. Barker, Zhong‐Xiu Chen, Bryan A. Wolf and Shiyi Tian. Their work appears in journals such as Transplantation, Diabetes, Xenotransplantation, American Journal of Transplantation and PLoS ONE.
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.