Li Ding
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- RNA Research and Splicing 6
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 5
- Hematology 17
- Hematopoietic Stem Cell Transplantation 15
- Co-authors
- Frank Buchholz (15 shared papers)Wanchun Wang (1 shared paper)Maciej Paszkowski‐Rogacz (10 shared papers)Changjun Zeng (4 shared papers)Heng Zhu (19 shared papers)Xiao-Li Zheng (20 shared papers)Hong-Min Yan (18 shared papers)Ning Mao (11 shared papers)
- Journals
- Stem Cell Research & Therapy (6 papers)PLoS ONE (5 papers)Stem Cells Translational Medicine (4 papers)Cryobiology (3 papers)Life Science Alliance (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Li Ding
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 252
- Genetics 173
- Reproductive Medicine 128
- Hematology 129
- Molecular Biology 673
Countries citing papers authored by Li Ding
This map shows the geographic impact of Li 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 Li Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ding more than expected).
Fields of papers citing papers by Li Ding
This network shows the impact of papers produced by Li 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 Li Ding. The network helps show where Li Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 101 | |
| 2 | 2012 | 97 | |
| 3 | 2021 | 66 | |
| 4 | 2014 | 64 | |
| 5 | 2019 | 63 | |
| 6 | 2007 | 59 | |
| 7 | 2019 | 55 | |
| 8 | 2012 | 51 | |
| 9 | 2014 | 47 | |
| 10 | 2014 | 41 | |
| 11 | 2012 | 40 | |
| 12 | 2016 | 36 | |
| 13 | 2015 | 33 | |
| 14 | 2014 | 33 | |
| 15 | 2014 | 28 | |
| 16 | 2009 | 28 | |
| 17 | 2015 | 27 | |
| 18 | 2017 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2014 | 23 |
About Li Ding
Li Ding is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Public Health, Environmental and Occupational Health, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Mesenchymal stem cell research (8 papers), RNA Research and Splicing (6 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (252 citations), Genetics (173 citations), Reproductive Medicine (128 citations), Hematology (129 citations) and Molecular Biology (673 citations). Li Ding has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Frank Buchholz, Wanchun Wang, Maciej Paszkowski‐Rogacz, Changjun Zeng, Heng Zhu, Xiao-Li Zheng, Hong-Min Yan, Ning Mao, Herbert Schulz and Yan Zhang. Their work appears in journals such as Stem Cell Research & Therapy, PLoS ONE, Stem Cells Translational Medicine, Cryobiology and Life Science Alliance.
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.