Xiao Ding

11.0k total citations · 3 hit papers
110 papers, 6.1k citations indexed

About

Xiao Ding is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Xiao Ding has authored 110 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 25 papers in Epidemiology and 20 papers in Plant Science. Recurrent topics in Xiao Ding's work include CRISPR and Genetic Engineering (12 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Hepatitis C virus research (10 papers). Xiao Ding is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Hepatitis C virus research (10 papers). Xiao Ding collaborates with scholars based in China, United States and France. Xiao Ding's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Xiao Ding

103 papers receiving 6.0k citations

Hit Papers

Genome Composition and Divergence of th... 2013 2026 2017 2021 2020 2013 2013 500 1000 1.5k

Peers

Xiao Ding
Comparison fields: 5 of 170
  • Infectious Diseases 2.1k
  • Molecular Biology 2.0k
  • Epidemiology 1.7k
  • Hepatology 1.5k
  • Plant Science 802
Replace Yingxia Liu with:
Yingxia Liu China
Guangdi Li China
Ling Yang China
Ze‐Guang Han China
Zuojiong Gong China
Li Chen China
Andrea Urbani Italy
Yin Lu China
Zhi‐Gang She China
Paul Sandstrom Canada
Yingxia Liu China View profile →
Citations per field, relative to Xiao Ding
Xiao Ding · 1×
Citations per year, relative to Xiao Ding
Xiao Ding · 1×

Countries citing papers authored by Xiao Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 trial breakdown →
438
20
A Robust and Efficient Facial Feature Tracking Algorithm
1

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.

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