Ye Ding
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 1%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
- Bioactive Natural Diterpenoids Research
Papers in
-
- RNA Research and Splicing 22
- RNA modifications and cancer 18
- Bioactive Natural Diterpenoids Research 12
- RNA Interference and Gene Delivery 12
- RNA and protein synthesis mechanisms 11
-
- MicroRNA in disease regulation 25
- Cancer-related molecular mechanisms research 13
- Co-authors
- Jia Zhou (25 shared papers)Chi Yu Chan (9 shared papers)Dang Long (10 shared papers)Na Ye (8 shared papers)Christopher Wild (6 shared papers)Jingling Xue (11 shared papers)Qiang Shen (9 shared papers)Chaochun Liu (7 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Cancer Letters (5 papers)Nature Communications (4 papers)Developmental Biology (3 papers)Blood (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ye Ding
174 papers receiving 7.0k citations
Ye Ding's Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 2.1k
- Molecular Biology 4.3k
- Aging 96
- Physiology 201
- Software 150
Countries citing papers authored by Ye Ding
This map shows the geographic impact of Ye 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 Ye Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ding more than expected).
Fields of papers citing papers by Ye Ding
This network shows the impact of papers produced by Ye 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 Ye Ding. The network helps show where Ye Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs Hit paper breakdown → | 2013 | 903 |
| 2 | 2007 | 332 | |
| 3 | 2017 | 256 | |
| 4 | 2014 | 225 | |
| 5 | 2015 | 200 | |
| 6 | 2018 | 177 | |
| 7 | 2008 | 166 | |
| 8 | 2016 | 151 | |
| 9 | 2019 | 138 | |
| 10 | 2007 | 133 | |
| 11 | 2018 | 122 | |
| 12 | 2017 | 121 | |
| 13 | 2012 | 115 | |
| 14 | 2012 | 108 | |
| 15 | 2018 | 104 | |
| 16 | 2010 | 88 | |
| 17 | 2009 | 86 | |
| 18 | 2015 | 83 | |
| 19 | 2014 | 83 | |
| 20 | 2013 | 81 |
About Ye Ding
Ye Ding is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Hardware and Architecture, having authored 181 papers that have together received 7.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (25 papers), RNA Research and Splicing (22 papers), RNA modifications and cancer (18 papers), Cancer-related molecular mechanisms research (13 papers), Bioactive Natural Diterpenoids Research (12 papers), RNA Interference and Gene Delivery (12 papers), Parallel Computing and Optimization Techniques (12 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (4.3k citations), Aging (96 citations), Physiology (201 citations) and Software (150 citations). Ye Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jia Zhou, Chi Yu Chan, Dang Long, Na Ye, Christopher Wild, Jingling Xue, Qiang Shen, Chaochun Liu, Haiying Chen and Yulei Sui. Their work appears in journals such as Nucleic Acids Research, Cancer Letters, Nature Communications, Developmental Biology and Blood.
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.