Pan Chen

525 citations
18 papers · 309 · h-index 10

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • Nuclear Structure and Function 9
    • RNA Research and Splicing 9
    • Genomics and Chromatin Dynamics 7
    • RNA modifications and cancer 5
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 3

Pan Chen

15 papers receiving 307 citations

Peers

Pan Chen
Comparison fields: 5 of 68
  • Cell Biology 65
  • Molecular Biology 245
  • Aging 4
  • Biophysics 9
  • Cancer Research 23
Replace Matthias Jürgen Schmitt with:
Matthias Jürgen Schmitt Germany
Sarah N. Ur United States
Cathy Braun France
Alexander Wallroth Germany
Aida Di Gregorio United Kingdom
Habib Bouguenina United Kingdom
Hana Polášek-Sedláčková Czechia
Yeap Ng Australia
Yoonjung Shim United States
Pauline Wales United States
Pan Chen relative to Matthias Jürgen Schmitt Germany Matthias Jürgen Schmitt's profile →
Citations per field
00.5×5.5×
Matthias Jürgen Schmitt · 1×
Citations per year

Countries citing papers authored by Pan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pan Chen, 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 Pan Chen Line = papers co-authored together Pan Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201667
2 201555
3 202228
4 201728
5 201927
6 201923
7 202216
8 202415
9 201812
10 202411
11 20198
12 20217
13 20235
14 20244
15 20182
16 20251
17 20250
18 20250

About Pan Chen

Pan Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 18 papers that have together received 309 indexed citations. Recurring topics across this work include Nuclear Structure and Function (9 papers), RNA Research and Splicing (9 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Peptidase Inhibition and Analysis (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Cell Biology (65 citations), Molecular Biology (245 citations), Aging (4 citations), Biophysics (9 citations) and Cancer Research (23 citations). Pan Chen has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Daniel L. Levy, Predrag Jevtić, Xiaoyang Li, Lisa J. Edens, Minghua Yang, Jesse C. Gatlin, Ke Liu, Miroslav Tomschik, Junjie Wang and Jun Huang. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Cell Death Discovery, Scientific Reports and International Journal of Biological Macromolecules.

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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