Xiaolin Wu

18.8k total citations · 3 hit papers
172 papers, 8.5k citations indexed

About

Xiaolin Wu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Xiaolin Wu has authored 172 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 34 papers in Genetics and 32 papers in Oncology. Recurrent topics in Xiaolin Wu's work include Virus-based gene therapy research (26 papers), CRISPR and Genetic Engineering (25 papers) and HIV Research and Treatment (24 papers). Xiaolin Wu is often cited by papers focused on Virus-based gene therapy research (26 papers), CRISPR and Genetic Engineering (25 papers) and HIV Research and Treatment (24 papers). Xiaolin Wu collaborates with scholars based in United States, China and Canada. Xiaolin Wu's co-authors include Shawn M. Burgess, Bruce Crise, Yuan Li, Stephen H. Hughes, Andrea L. Ferris, David J. Munroe, John M. Coffin, Mary F. Kearney, John W. Mellors and Frank Maldarelli and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaolin Wu

164 papers receiving 8.3k citations

Hit Papers

Transcription Start Regions in the Human Genome Are Favor... 2003 2026 2010 2018 2003 2013 2014 250 500 750 1000

Peers

Xiaolin Wu
Comparison fields: 5 of 155
  • Molecular Biology 5.1k
  • Genetics 2.1k
  • Virology 1.7k
  • Infectious Diseases 1.3k
  • Oncology 1.3k
Replace Katherine A. Jones with:
Katherine A. Jones United States
Shohreh Amini United States
W. Gregory Alvord United States
Susan R. Ross United States
Michael Eckhaus United States
Richard G. Jenner United Kingdom
Guangxia Gao China
Martin Blum Germany
Dirk Lindemann Germany
Luis Del Valle United States
Katherine A. Jones United States View profile →
Citations per field, relative to Xiaolin Wu
Xiaolin Wu · 1×
Citations per year, relative to Xiaolin Wu
Xiaolin Wu · 1×

Countries citing papers authored by Xiaolin Wu

Since Specialization
Citations

This map shows the geographic impact of Xiaolin Wu'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 Xiaolin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wu more than expected).

Fields of papers citing papers by Xiaolin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolin Wu. 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 Xiaolin Wu. The network helps show where Xiaolin Wu may publish in the future.

Co-authorship network of co-authors of Xiaolin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Wu. A scholar is included among the top collaborators of Xiaolin Wu 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 Xiaolin Wu. Xiaolin Wu 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 1
4 4
5 2
6 7
7 6
8 20
9 22
10 13
11 34
12 10
13 87
14 8
15 26
16 61
17
Specific HIV integration sites are linked to clonal expansion and persistence of infected cells breakdown →
598
18 72
19 140
20
Transcription Start Regions in the Human Genome Are Favored Targets for MLV Integration breakdown →
1019

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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