Mingxiao Ding
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
Papers in
-
- Pluripotent Stem Cells Research 20
- CRISPR and Genetic Engineering 9
- Surgery 18
- Pancreatic function and diabetes 11
- Co-authors
- Hongkui Deng (41 shared papers)Yang Zhao (7 shared papers)Zhihua Song (6 shared papers)Xijun Song (8 shared papers)Jun Cai (5 shared papers)Qin Han (5 shared papers)Yanxia Liu (4 shared papers)Jun Yong (7 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (10 papers)Cell Research (5 papers)Differentiation (5 papers)PLoS ONE (4 papers)Molecular Cell (2 papers)
- Partner nations
- ChinaUnited StatesSlovenia
In The Last Decade
Mingxiao Ding
58 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 114
- Hepatology 558
- Molecular Biology 2.7k
- Infectious Diseases 539
- Surgery 1.2k
- Animal Science and Zoology 264
Countries citing papers authored by Mingxiao Ding
This map shows the geographic impact of Mingxiao Ding'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 Mingxiao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxiao Ding more than expected).
Fields of papers citing papers by Mingxiao Ding
This network shows the impact of papers produced by Mingxiao Ding. 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 Mingxiao Ding. The network helps show where Mingxiao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxiao Ding, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 489 | |
| 2 | 2009 | 369 | |
| 3 | 2007 | 256 | |
| 4 | 2007 | 242 | |
| 5 | 2009 | 226 | |
| 6 | 2006 | 206 | |
| 7 | 2007 | 200 | |
| 8 | 2007 | 179 | |
| 9 | 2005 | 163 | |
| 10 | 2005 | 157 | |
| 11 | 2005 | 127 | |
| 12 | 2004 | 120 | |
| 13 | 2004 | 114 | |
| 14 | 2004 | 110 | |
| 15 | 2007 | 99 | |
| 16 | 2006 | 99 | |
| 17 | 2004 | 92 | |
| 18 | 2004 | 84 | |
| 19 | 2009 | 83 | |
| 20 | 2009 | 82 |
About Mingxiao Ding
Mingxiao Ding is a scholar working on Molecular Biology, Surgery, Genetics, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 60 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), Pancreatic function and diabetes (11 papers), CRISPR and Genetic Engineering (9 papers), Reproductive Biology and Fertility (6 papers), Animal Virus Infections Studies (5 papers), Animal Disease Management and Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Hepatology (558 citations), Molecular Biology (2.7k citations), Infectious Diseases (539 citations), Surgery (1.2k citations) and Animal Science and Zoology (264 citations). Mingxiao Ding has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Hongkui Deng, Yang Zhao, Zhihua Song, Xijun Song, Jun Cai, Qin Han, Yanxia Liu, Jun Yong, Peigang Wang and Yushan Guo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Research, Differentiation, PLoS ONE and Molecular Cell.
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.