Jun Xing

4.7k citations
71 papers · 4.0k indexed · 2 hit papers · h-index 27

Jun Xing

70 papers receiving 3.9k citations

Hit Papers

Coupling of the RAS-MAPK Pathway to Gene Activation by RS...1.1k19952026200520152505007501000

Peers

Jun Xing
Comparison fields: 5 of 130
  • Cardiology and Cardiovascular Medicine 916
  • Molecular Biology 2.4k
  • Cell Biology 540
  • Cellular and Molecular Neuroscience 594
  • Oncology 694
Replace J Lacapère with:
J Lacapère France
Leon G.J. Tertoolen Netherlands
Frank Schwede Germany
Michele Solimena Germany
Isabella A. Graef United States
Manuela Zaccolo United Kingdom
Daniel G. Jay United States
Stephen P. Soltoff United States
Holger Rehmann Netherlands
Dorien J.M. Peters Netherlands
Jun Xing relative to J Lacapère France J Lacapère's profile →
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J Lacapère · 1×
Citations per year

Countries citing papers authored by Jun Xing

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Xing Line = papers co-authored together Jun Xing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202220
3 20224
4 20228
5 20212
6 201726
7 201630
8 20158
9 201430
10 201346
11 201217
12 200926
13 200747
14 200641
15 200555
16 200343
17 200392
18 200248
19 200033
20 199516

About Jun Xing

Jun Xing is a scholar working on Structural Biology, Cardiology and Cardiovascular Medicine, Biophysics, Cell Biology and Molecular Biology, having authored 71 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (21 papers), Viral Infections and Immunology Research (11 papers), Cardiovascular Effects of Exercise (10 papers), Microtubule and mitosis dynamics (6 papers), Food Quality and Safety Studies (4 papers), Muscle Physiology and Disorders (3 papers), RNA and protein synthesis mechanisms (3 papers) and Molecular Junctions and Nanostructures (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (916 citations), Molecular Biology (2.4k citations), Cell Biology (540 citations), Cellular and Molecular Neuroscience (594 citations) and Oncology (694 citations). Jun Xing has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael E. Greenberg, David D. Ginty, Herbert C. Cheung, Wen‐Ji Dong, Steven S. Rosenfeld, Elizabeth A. Thiele, Jon M. Kornhauser, Zhengui Xia, William R. Sellers and David M. Livingston. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Molecular Biology, Molecular and Cellular Biology and Food Chemistry X.

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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