Jing Chen

17.4k total citations · 2 hit papers
387 papers, 12.0k citations indexed

About

Jing Chen is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jing Chen has authored 387 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Molecular Biology, 66 papers in Cancer Research and 53 papers in Surgery. Recurrent topics in Jing Chen's work include MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (18 papers). Jing Chen is often cited by papers focused on MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (19 papers) and RNA modifications and cancer (18 papers). Jing Chen collaborates with scholars based in China, United States and Canada. Jing Chen's co-authors include Anil G. Jegga, Bruce J. Aronow, Eric E. Bardes, Mario Medvedovic, Guo‐Chang Fan, Xiaohong Wang, Huan Xu, Xiaoping Ren, Federica Accornero and Johan Garssen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jing Chen

365 papers receiving 11.8k citations

Hit Papers

ToppGene Suite for gene list enrichment analysis and cand... 2009 2026 2014 2020 2009 2019 500 1000 1.5k 2.0k

Peers

Jing Chen
Comparison fields: 5 of 188
  • Molecular Biology 6.9k
  • Cancer Research 2.2k
  • Surgery 1.1k
  • Immunology 1.1k
  • Oncology 1.0k
Replace Alicja Józkowicz with:
Alicja Józkowicz Poland
Józef Dulak Poland
Norbert Gretz Germany
Xiaoyan Liu China
Rui Chen China
Li Li China
Fang Liu China
Xiaoyan Zhang China
Kathleen M. Jagodnik United States
Ping Li China
Alicja Józkowicz Poland View profile →
Citations per field, relative to Jing Chen
Jing Chen · 1×
Citations per year, relative to Jing Chen
Jing Chen · 1×

Countries citing papers authored by Jing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Chen. A scholar is included among the top collaborators of Jing 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 Jing Chen. Jing 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 1
2 0
3 0
4 0
5 1
6 8
7 1
8 6
9 10
10 4
11 0
12 12
13 10
14 4
15 1
16 1
17 7
18 11
19 29
20 14

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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