Xiao Ding
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Epidemiology top 1%
- Hepatology top 0.5%
- Plant Science top 5%
- Co-authors
- William T. SymondsRobert H. HylandTaijiao JiangEdward GaneAiping WuGenhong ChengYousong PengLijun Quan
- Topics
- CRISPR and Genetic Engineering (12 papers)Clostridium difficile and Clostridium perfringens research (11 papers)Hepatitis C virus research (10 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiao Ding
103 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 2.1k
- Molecular Biology 2.0k
- Epidemiology 1.7k
- Hepatology 1.5k
- Plant Science 802
Countries citing papers authored by Xiao Ding
This map shows the geographic impact of Xiao 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 Xiao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ding more than expected).
Fields of papers citing papers by Xiao Ding
This network shows the impact of papers produced by Xiao 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 Xiao Ding. The network helps show where Xiao Ding may publish in the future.
Co-authorship network of co-authors of Xiao Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ding. A scholar is included among the top collaborators of Xiao Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiao Ding. Xiao Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 45 | |
| 10 | 76 | |
| 11 | 141 | |
| 12 | 118 | |
| 13 | 64 | |
| 14 | 64 | |
| 15 | 15 | |
| 16 | 163 | |
| 17 | 50 | |
| 18 | 40 | |
| 19 | Sofosbuvir and ledipasvir fixed-dose combination with and without ribavirin in treatment-naive and previously treated patients with genotype 1 hepatitis C virus infection (LONESTAR): an open-label, randomised, phase 2 trialbreakdown → | 438 |
| 20 | A Robust and Efficient Facial Feature Tracking Algorithm | 1 |
About Xiao Ding
Xiao Ding is a scholar working on Hepatology, Infectious Diseases and Business and International Management, having authored 110 papers that have together received 6.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Hepatitis C virus research (10 papers). The work is most often cited by research in Hepatology (1.5k citations), Infectious Diseases (2.1k citations) and Business and International Management (103 citations). Xiao Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include William T. Symonds, Robert H. Hyland, Taijiao Jiang, Edward Gane, Aiping Wu, Genhong Cheng, Yousong Peng, Lijun Quan, Wenjie Tan and Baoying Huang. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.