Hong‐Chen Chen

2.2k citations
51 papers · 1.8k · h-index 22

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Nuclear Structure and Function 7
    • Cellular Mechanics and Interactions 18
    • Microtubule and mitosis dynamics 6
    • Skin and Cellular Biology Research 6
    • Hippo pathway signaling and YAP/TAZ 4

Hong‐Chen Chen

50 papers receiving 1.8k citations

Peers

Hong‐Chen Chen
Comparison fields: 5 of 108
  • Immunology and Allergy 517
  • Cell Biology 581
  • Cancer Research 204
  • Molecular Biology 892
  • Hepatology 90
Replace Laura Moro with:
Laura Moro Italy
Pierre H. Vachon Canada
Marijke Bryckaert France
Can G. Pham United States
Sang-Oh Yoon United States
M. Mareel Belgium
Susumu Tanimura Japan
G. Ragnotti Italy
Kaladhar B. Reddy United States
Ignacio Rubio Germany
Hong‐Chen Chen relative to Laura Moro Italy Laura Moro's profile →
Citations per field
00.5×2.8×
Laura Moro · 1×
Citations per year

Countries citing papers authored by Hong‐Chen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Chen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999238
2 2004211
3 2002130
4 2006122
5 199997
6 200673
7 200068
8 200959
9 199657
10 201155
11 200543
12 201341
13 201041
14 200735
15 200334
16 201934
17 200732
18 200628
19 200427
20 201726

About Hong‐Chen Chen

Hong‐Chen Chen is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Hepatology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (18 papers), Cell Adhesion Molecules Research (15 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Nuclear Structure and Function (7 papers), Microtubule and mitosis dynamics (6 papers), Skin and Cellular Biology Research (6 papers), Liver physiology and pathology (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Immunology and Allergy (517 citations), Cell Biology (581 citations), Cancer Research (204 citations), Molecular Biology (892 citations) and Hepatology (90 citations). Hong‐Chen Chen has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Jun‐Lin Guan, Jui‐Fen Lai, Po-Chao Chan, Chien-Lin Chen, Jason T. C. Tzen, Leslie A. Cary, Heinz Reiske, Chi-Hung Cheng, Anne R. Bresnick and Yi‐Ru Pan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Journal of Biomedical Science, Oncotarget and Scientific Reports.

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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