Deqiang Ding
Impact in
- Aging top 10%
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- RNA modifications and cancer 4
-
- Chromosomal and Genetic Variations 9
- Co-authors
- Yu‐Sheng Cong (8 shared papers)Junzhi Zhou (6 shared papers)Miao Wang (2 shared papers)Xi Peng (2 shared papers)Kunzhe Dong (4 shared papers)C. Chen (9 shared papers)Jiali Liu (3 shared papers)Uros Midic (2 shared papers)
- Journals
- Nature Communications (4 papers)Nucleic Acids Research (3 papers)PLoS Genetics (2 papers)Advanced Science (2 papers)Biology of Reproduction (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Deqiang Ding
24 papers receiving 669 citations
Peers
Comparison fields: 5 of 65
- Aging 34
- Physiology 214
- Biotechnology 69
- Molecular Biology 466
- Cancer Research 81
Countries citing papers authored by Deqiang Ding
This map shows the geographic impact of Deqiang 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 Deqiang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqiang Ding more than expected).
Fields of papers citing papers by Deqiang Ding
This network shows the impact of papers produced by Deqiang 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 Deqiang Ding. The network helps show where Deqiang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Deqiang 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 112 | |
| 2 | 2017 | 97 | |
| 3 | 2016 | 88 | |
| 4 | 2013 | 52 | |
| 5 | 2014 | 47 | |
| 6 | 2018 | 45 | |
| 7 | 2013 | 43 | |
| 8 | 2013 | 40 | |
| 9 | 2018 | 39 | |
| 10 | 2013 | 30 | |
| 11 | 2017 | 24 | |
| 12 | 2020 | 19 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Deqiang Ding
Deqiang Ding is a scholar working on Molecular Biology, Plant Science, Physiology, Genetics and Oncology, having authored 24 papers that have together received 682 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (9 papers), CRISPR and Genetic Engineering (6 papers), Telomeres, Telomerase, and Senescence (6 papers), RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA modifications and cancer (4 papers), Cancer Research and Treatments (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (34 citations), Physiology (214 citations), Biotechnology (69 citations), Molecular Biology (466 citations) and Cancer Research (81 citations). Deqiang Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yu‐Sheng Cong, Junzhi Zhou, Miao Wang, Xi Peng, Kunzhe Dong, C. Chen, Jiali Liu, Uros Midic, Miao Wang and Rex A. Hess. Their work appears in journals such as Nature Communications, Nucleic Acids Research, PLoS Genetics, Advanced Science and Biology of Reproduction.
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.