Nan Ding
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- MicroRNA in disease regulation 17
-
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Desheng Yao (7 shared papers)Junying Chen (6 shared papers)Shan Zhao (5 shared papers)Hong Chi Zhao (3 shared papers)Yujian He (3 shared papers)Xiangdong Fang (11 shared papers)Zhaofei Pang (5 shared papers)Li Li (2 shared papers)
- Journals
- Genomics Proteomics & Bioinformatics (5 papers)Scientific Reports (4 papers)Oncotarget (4 papers)RNA Biology (3 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Nan Ding
99 papers receiving 2.7k citations
Nan Ding's Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 420
- Molecular Medicine 71
- Infectious Diseases 170
- Molecular Biology 469
- Oncology 128
Countries citing papers authored by Nan Ding
This map shows the geographic impact of Nan 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 Nan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Ding more than expected).
Fields of papers citing papers by Nan Ding
This network shows the impact of papers produced by Nan 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 Nan Ding. The network helps show where Nan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GSA: Genome Sequence Archive Hit paper breakdown → | 2017 | 494 |
| 2 | 2013 | 122 | |
| 3 | 2011 | 116 | |
| 4 | 2011 | 92 | |
| 5 | 2015 | 86 | |
| 6 | 2013 | 77 | |
| 7 | 2015 | 76 | |
| 8 | 2016 | 74 | |
| 9 | 2014 | 70 | |
| 10 | 2010 | 63 | |
| 11 | 2019 | 63 | |
| 12 | 2013 | 61 | |
| 13 | 2014 | 59 | |
| 14 | 2019 | 57 | |
| 15 | 2020 | 53 | |
| 16 | 2019 | 49 | |
| 17 | 2018 | 45 | |
| 18 | 2015 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2021 | 42 |
About Nan Ding
Nan Ding is a scholar working on Cancer Research, Infectious Diseases, Molecular Biology, Molecular Medicine and Pharmacology, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Pluripotent Stem Cells Research (3 papers), Effects of Radiation Exposure (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Cancer Research (420 citations), Molecular Medicine (71 citations), Infectious Diseases (170 citations), Molecular Biology (469 citations) and Oncology (128 citations). Nan Ding has collaborated with scholars based in China and United States. Frequent co-authors include Desheng Yao, Junying Chen, Shan Zhao, Hong Chi Zhao, Yujian He, Xiangdong Fang, Zhaofei Pang, Li Li, Cuidan Li and Fei Chen. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Scientific Reports, Oncotarget, RNA Biology and Frontiers in Oncology.
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.