Xiquan Liang

2.9k citations
33 papers · 2.3k indexed · 1 hit paper · h-index 23
Topics
CRISPR and Genetic Engineering (7 papers)Advanced biosensing and bioanalysis techniques (5 papers)RNA Interference and Gene Delivery (4 papers)

In The Last Decade

Xiquan Liang

33 papers receiving 2.2k citations

Hit Papers

Rapid and highly efficient mammalian cell engineering via...20152026201820222015100200300400500

Peers

Xiquan Liang
Comparison fields: 5 of 110
  • Molecular Biology 1.7k
  • Genetics 310
  • Cell Biology 220
  • Oncology 215
  • Spectroscopy 142
Replace Boo Ahn Shin with:
Boo Ahn Shin South Korea
Ting Han China
Zhi Jiang Zeng China
Arvind Panday United States
О. В. Савинова Russia
Laurent Daviet France
Kristin Baetz Canada
Tony Taldone United States
Victor Adler United States
Hiroaki Taniguchi Japan
Xiquan Liang relative to Boo Ahn Shin South Korea Boo Ahn Shin's profile →
Citations per field
00.5×8.9×
Boo Ahn Shin · 1×
Citations per year

Countries citing papers authored by Xiquan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiquan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiquan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiquan Liang. A scholar is included among the top collaborators of Xiquan Liang 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 Xiquan Liang. Xiquan Liang 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
1 179
2 132
3
Rapid and highly efficient mammalian cell engineering via Cas9 protein transfectionbreakdown →
563
4 19
5 26
6 40
7 25
8 206
9 58
10 35
11 55
12 17
13 45
14 95
15 95
16 23
17 24
18 24
19 14
20 36

About Xiquan Liang

Xiquan Liang is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Aging (67 citations), Business and International Management (70 citations) and Developmental Neuroscience (115 citations). Xiquan Liang has collaborated with scholars based in United States, Austria and Belgium. Frequent co-authors include Marilyn D. Resh, Jason Potter, Shantanu Kumar, Namritha Ravinder, Jonathan D. Chesnut, Horst Schulz, Sridhar Ranganathan, Yanfei Zou, Mahalakshmi Sridharan and Wen Chen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Genes & Development.

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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