Xuebing Wu

28.9k citations
35 papers · 20.7k indexed · 6 hit papers · h-index 25
Topics
CRISPR and Genetic Engineering (12 papers)RNA and protein synthesis mechanisms (11 papers)RNA modifications and cancer (9 papers)
Partner nations
United StatesChinaIsrael

In The Last Decade

Xuebing Wu

35 papers receiving 20.4k citations

Hit Papers

Multiplex Genome Engineering Using CRISPR/Cas Systems2008202620142020201320132015201620082.5k5.0k7.5k10.0k

Peers

Xuebing Wu
Comparison fields: 5 of 175
  • Molecular Biology 18.8k
  • Genetics 4.4k
  • Plant Science 2.1k
  • Business and International Management 1.4k
  • Aging 1.3k
Replace Le Cong with:
Le Cong United States
Lei S. Qi United States
David Cox United States
Prashant Mali United States
Silvana Konermann United States
Naomi Habib United States
Martin Jínek Switzerland
Luke A. Gilbert United States
Wenyan Jiang China
John Aach United States
Xuebing Wu relative to Le Cong United States Le Cong's profile →
Citations per field
00.5×1.5×
Le Cong · 1×
Citations per year

Countries citing papers authored by Xuebing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xuebing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuebing Wu. A scholar is included among the top collaborators of Xuebing 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 Xuebing Wu. Xuebing 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
#WorkIndexed citations
1 6
2 9
3 6
4 1
5 52
6 43
7 7
8 27
9 27
10
Rescue of Fragile X Syndrome Neurons by DNA Methylation Editing of the FMR1 Genebreakdown →
335
11
Widespread Influence of 3′-End Structures on Mammalian mRNA Processing and Stability
2
12 94
13 100
14 231
15 58
16
Multiplex Genome Engineering Using CRISPR/Cas Systemsbreakdown →
11236
17 143
18
DNA targeting specificity of RNA-guided Cas9 nucleasesbreakdown →
3441
19 311
20 136

About Xuebing Wu

Xuebing Wu is a scholar working on Aging, Business and International Management and Molecular Biology, having authored 35 papers that have together received 20.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), RNA and protein synthesis mechanisms (11 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Aging (1.3k citations), Business and International Management (1.4k citations) and Molecular Biology (18.8k citations). Xuebing Wu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Feng Zhang, F. Ann Ran, Patrick D. Hsu, Luciano A. Marraffini, Le Cong, Robert P. J. Barretto, Naomi Habib, Wenyan Jiang, David Cox and Phillip A. Sharp. Their work appears in journals such as Nature, Science and Cell.

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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