Sheng Ding
- Aging top 0.5%
- Developmental Neuroscience top 0.5%
- Molecular Biology top 0.2%
- Pluripotent Stem Cells Research 67
- CRISPR and Genetic Engineering 45
- RNA Interference and Gene Delivery 11
- Congenital heart defects research 5
- Genetics top 1%
- Mesenchymal stem cell research 5
- Physiology top 1%
- Biomedical Ethics and Regulation 7
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- 3D Printing in Biomedical Research 24
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- Tissue Engineering and Regenerative Medicine 13
- Co-authors
- Peter G. SchultzSaiyong ZhuWenlin LiHans R. SchölerHongyan ZhouYan ShiHeung Sik HahmYuan Xu
- Journals
- Cell stem cell (8 papers)Proceedings of the National Academy of Sciences (7 papers)Journal of the American Chemical Society (5 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sheng Ding
104 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Aging 307
- Developmental Neuroscience 669
- Molecular Biology 10.5k
- Genetics 920
- Physiology 1.7k
Countries citing papers authored by Sheng Ding
This map shows the geographic impact of Sheng 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 Sheng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Ding more than expected).
Fields of papers citing papers by Sheng Ding
This network shows the impact of papers produced by Sheng 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 Sheng Ding. The network helps show where Sheng Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 67 | |
| 5 | 2017 | 95 | |
| 6 | 2017 | 265 | |
| 7 | 2016 | 289 | |
| 8 | 2016 | 36 | |
| 9 | 2014 | 45 | |
| 10 | 2012 | 41 | |
| 11 | 2010 | 8 | |
| 12 | 2010 | 21 | |
| 13 | 2009 | 33 | |
| 14 | 2009 | 436 | |
| 15 | Induction of Pluripotent Stem Cells from Mouse Embryonic Fibroblasts by Oct4 and Klf4 with Small-Molecule Compoundsbreakdown → | 2008 | 655 |
| 16 | 2008 | 257 | |
| 17 | 2006 | 241 | |
| 18 | 2005 | 35 | |
| 19 | 2005 | 83 | |
| 20 | 2003 | 306 |
About Sheng Ding
Sheng Ding is a scholar working on Molecular Biology, Developmental Neuroscience and Biomedical Engineering, having authored 106 papers that have together received 13.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (67 papers), CRISPR and Genetic Engineering (45 papers), 3D Printing in Biomedical Research (24 papers), Tissue Engineering and Regenerative Medicine (13 papers), RNA Interference and Gene Delivery (11 papers), Biomedical Ethics and Regulation (7 papers), Congenital heart defects research (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Aging (307 citations), Developmental Neuroscience (669 citations) and Molecular Biology (10.5k citations). Sheng Ding has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Peter G. Schultz, Saiyong Zhu, Wenlin Li, Hans R. Schöler, Hongyan Zhou, Yan Shi, Heung Sik Hahm, Yuan Xu, Caroline Desponts and Tongxiang Lin. Their work appears in journals such as Cell stem cell, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, Stem Cells and Nature.
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.