Xuefei Gao

3.8k citations
52 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
CRISPR and Genetic Engineering (12 papers)Pluripotent Stem Cells Research (10 papers)Adipose Tissue and Metabolism (7 papers)

In The Last Decade

Xuefei Gao

49 papers receiving 1.9k citations

Hit Papers

SARS-CoV-2: Structure, Biology, and Structure-Based Thera...20202026202220242020100200300400500

Peers

Xuefei Gao
Comparison fields: 5 of 130
  • Molecular Biology 1.1k
  • Infectious Diseases 432
  • Genetics 186
  • Physiology 182
  • Epidemiology 157
Replace Concetta Panebianco with:
Concetta Panebianco Italy
Nozomu Kono Japan
Stephanie D. Byrum United States
Alberto Pessia Finland
Beibei Fu China
William O. Osburn United States
Nobuhiko Hiramatsu Japan
Jürgen Radons Germany
Annette Gilchrist United States
Hatem Zayed Qatar
Xuefei Gao relative to Concetta Panebianco Italy Concetta Panebianco's profile →
Citations per field
00.5×2.9×
Concetta Panebianco · 1×
Citations per year

Countries citing papers authored by Xuefei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xuefei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuefei Gao. A scholar is included among the top collaborators of Xuefei Gao 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 Xuefei Gao. Xuefei Gao 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 2
2 1
3 1
4 5
5 23
6 3
7 1
8 4
9 26
10 1
11 7
12 3
13
SARS-CoV-2: Structure, Biology, and Structure-Based Therapeutics Developmentbreakdown →
569
14 15
15 47
16 5
17 145
18 67
19 11
20 55

About Xuefei Gao

Xuefei Gao is a scholar working on Anatomy, Aging and Molecular Biology, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (10 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Infectious Diseases (432 citations), Aging (32 citations) and Molecular Biology (1.1k citations). Xuefei Gao has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Deping Wang, Lijuan Gao, Rong Zhao, Ji‐Min Cao, Pentao Liu, Jason C.H. Tsang, Donghai Wu, Tomislav Ilicic, Alex Tuck and Sarah A. Teichmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and 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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