Donglin Ding
Impact in
Papers in
- Virology 4
- HIV Research and Treatment 4
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- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Haojie Huang (12 shared papers)Yuqian Yan (8 shared papers)Liguo Wang (8 shared papers)Xin Jin (3 shared papers)Heshui Wu (3 shared papers)Dejie Wang (5 shared papers)Rafael E. Jiménez (4 shared papers)Tao Ma (2 shared papers)
- Journals
- Molecular Cell (3 papers)Advanced Science (2 papers)Tumor Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Donglin Ding
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Virology 144
- Oncology 284
- Molecular Biology 619
- Hepatology 56
- Business and International Management 16
Countries citing papers authored by Donglin Ding
This map shows the geographic impact of Donglin 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 Donglin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donglin Ding more than expected).
Fields of papers citing papers by Donglin Ding
This network shows the impact of papers produced by Donglin 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 Donglin Ding. The network helps show where Donglin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Donglin 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 | 2018 | 222 | |
| 2 | 2013 | 140 | |
| 3 | 2018 | 132 | |
| 4 | 2021 | 101 | |
| 5 | 2015 | 74 | |
| 6 | 2021 | 62 | |
| 7 | 2013 | 55 | |
| 8 | 2015 | 43 | |
| 9 | 2021 | 37 | |
| 10 | 2020 | 36 | |
| 11 | 2010 | 33 | |
| 12 | 2020 | 26 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2023 | 16 | |
| 16 | 2014 | 15 | |
| 17 | Genetic polymorphisms in apoptosis-related genes and the prognosis of hepatocellular carcinoma. | 2015 | 12 |
| 18 | 2022 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2016 | 8 |
About Donglin Ding
Donglin Ding is a scholar working on Virology, Molecular Biology, Hematology, Immunology and Cancer Research, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (8 papers), HIV Research and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Prostate Cancer Treatment and Research (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Virology (144 citations), Oncology (284 citations), Molecular Biology (619 citations), Hepatology (56 citations) and Business and International Management (16 citations). Donglin Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haojie Huang, Yuqian Yan, Liguo Wang, Xin Jin, Heshui Wu, Dejie Wang, Rafael E. Jiménez, Tao Ma, Yunqian Pan and Pengfei Wang. Their work appears in journals such as Molecular Cell, Advanced Science, Tumor Biology, Proceedings of the National Academy of Sciences and Nature Communications.
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.