Xiaoran Ding
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatitis C virus research
Papers in
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- RNA Interference and Gene Delivery 6
- Molecular Biology Techniques and Applications 3
- Epidemiology 12
- Hepatitis B Virus Studies 8
- Co-authors
- Shengqi Wang (15 shared papers)Jing Yang (11 shared papers)Xuejun Wang (5 shared papers)Zhe Zhou (8 shared papers)Xiaochen Bo (5 shared papers)Ying Li (2 shared papers)Jing Yang (2 shared papers)Xiujuan Zhang (1 shared paper)
- Journals
- Antiviral Research (3 papers)Archives of Virology (3 papers)Electrophoresis (2 papers)PLoS ONE (2 papers)The Pharmacogenomics Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoran Ding
20 papers receiving 487 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 154
- Hepatology 76
- Immunology 115
- Epidemiology 181
- Molecular Biology 254
Countries citing papers authored by Xiaoran Ding
This map shows the geographic impact of Xiaoran 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 Xiaoran Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Ding more than expected).
Fields of papers citing papers by Xiaoran Ding
This network shows the impact of papers produced by Xiaoran 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 Xiaoran Ding. The network helps show where Xiaoran Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoran 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 101 | |
| 2 | 2012 | 93 | |
| 3 | 2007 | 83 | |
| 4 | 2005 | 24 | |
| 5 | 2012 | 24 | |
| 6 | 2007 | 23 | |
| 7 | 2010 | 19 | |
| 8 | 2011 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2016 | 12 | |
| 11 | 2006 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2008 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 3 |
About Xiaoran Ding
Xiaoran Ding is a scholar working on Molecular Biology, Epidemiology, Immunology, Hepatology and Cancer Research, having authored 21 papers that have together received 494 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), RNA Interference and Gene Delivery (6 papers), MicroRNA in disease regulation (3 papers), Hepatitis C virus research (3 papers), Molecular Biology Techniques and Applications (3 papers), Immunotherapy and Immune Responses (3 papers), Forensic and Genetic Research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (154 citations), Hepatology (76 citations), Immunology (115 citations), Epidemiology (181 citations) and Molecular Biology (254 citations). Xiaoran Ding has collaborated with scholars based in China and United States. Frequent co-authors include Shengqi Wang, Jing Yang, Xuejun Wang, Zhe Zhou, Xiaochen Bo, Ying Li, Jing Yang, Xiujuan Zhang, Wei Hu and Hongshan Chen. Their work appears in journals such as Antiviral Research, Archives of Virology, Electrophoresis, PLoS ONE and The Pharmacogenomics Journal.
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.