Nan‐Peng Chen

406 citations
12 papers · 265 · h-index 8

Impact in

Papers in

    • Cellular Mechanics and Interactions 6
    • Microtubule and mitosis dynamics 3
    • Caveolin-1 and cellular processes 2
    • Ubiquitin and proteasome pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Glycosylation and Glycoproteins Research 1

Nan‐Peng Chen

11 papers receiving 263 citations

Peers

Nan‐Peng Chen
Comparison fields: 5 of 60
  • Cell Biology 102
  • Immunology and Allergy 28
  • Molecular Biology 165
  • Genetics 54
  • Pathology and Forensic Medicine 27
Replace Rahul Sanawar with:
Rahul Sanawar India
Yana Snitko United States
Anne G. Ostermeyer‐Fay United States
Thomas Bonk Germany
Marcus Geese Germany
Jessica Bruystens United States
Ali Naji United States
Andreas Digre Sweden
Ashley Pariser United States
A Kanai Japan
Nan‐Peng Chen relative to Rahul Sanawar India Rahul Sanawar's profile →
Citations per field
00.5×2.5×
Rahul Sanawar · 1×
Citations per year

Countries citing papers authored by Nan‐Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201075
2 202235
3 201831
4 201630
5 201830
6 201725
7 201516
8 202211
9 20237
10 20104
11 19901
12 20250

About Nan‐Peng Chen

Nan‐Peng Chen is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Genetics and Computer Networks and Communications, having authored 12 papers that have together received 265 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Cellular Mechanics and Interactions (6 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Caveolin-1 and cellular processes (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (102 citations), Immunology and Allergy (28 citations), Molecular Biology (165 citations), Genetics (54 citations) and Pathology and Forensic Medicine (27 citations). Nan‐Peng Chen has collaborated with scholars based in Germany, China and Hong Kong. Frequent co-authors include Reinhard Fässler, Borhan Uddin, Jonas Aretz, Guang‐Rong Yan, Ya Cao, Xingfeng Yin, Qing‐Yu He, Chuan‐Le Xiao, Zhiqi Sun and Renate Voit. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Science, EMBO Reports, Journal of the Optical Society of America B and PROTEOMICS.

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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