Bei Jun Chen

655 total citations
21 papers, 469 citations indexed

About

Bei Jun Chen is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bei Jun Chen has authored 21 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Cancer Research and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bei Jun Chen's work include Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Bei Jun Chen is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Bei Jun Chen collaborates with scholars based in Australia, Germany and Netherlands. Bei Jun Chen's co-authors include Michael Janitz, James D. Mills, Glenda M. Halliday, Susan C. Modesitt, Kyle L. Hoehn, Frances L. Byrne, Ellen M. Olzomer, Rhonda Farrell, Tomas Kavanagh and Woojin S. Kim and has published in prestigious journals such as PLoS ONE, Oncogene and Neuroscience.

In The Last Decade

Bei Jun Chen

21 papers receiving 465 citations

Peers

Bei Jun Chen
Comparison fields: 5 of 63
  • Molecular Biology 407
  • Cancer Research 330
  • Cellular and Molecular Neuroscience 38
  • Genetics 28
  • Neurology 23
Replace Federico Zampa with:
Federico Zampa United States
Mayuresh Anant Sarangdhar India
Ebrahim Mahmoudi Australia
Lianfeng Zhang China
Philip Michael Gaughwin Sweden
Vamshidhar R. Vangoor Netherlands
Brittany M. Edens United States
Shruti Bagla United States
María Muñoz‐San Martín Spain
Dipen Rajgor United Kingdom
Federico Zampa United States View profile →
Citations per field, relative to Bei Jun Chen
Bei Jun Chen · 1×
Citations per year, relative to Bei Jun Chen
Bei Jun Chen · 1×

Countries citing papers authored by Bei Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bei Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Jun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Jun Chen. A scholar is included among the top collaborators of Bei Jun Chen 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 Bei Jun Chen. Bei Jun Chen 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 6
2 3
3 18
4 8
5 34
6 13
7 51
8 3
9 9
10 13
11 11
12 48
13 49
14 29
15 70
16 15
17 27
18 11
19 5
20 40

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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