Jau‐Nian Chen

7.3k citations
64 papers · 5.4k indexed · 1 hit paper · h-index 35
Topics
Congenital heart defects research (36 papers)Zebrafish Biomedical Research Applications (19 papers)Developmental Biology and Gene Regulation (10 papers)

In The Last Decade

Jau‐Nian Chen

64 papers receiving 5.4k citations

Hit Papers

Cellular and molecular analyses of vascular tube and lume...20052026201220192005200400600

Peers

Jau‐Nian Chen
Comparison fields: 5 of 133
  • Molecular Biology 4.2k
  • Cell Biology 2.1k
  • Genetics 576
  • Cardiology and Cardiovascular Medicine 561
  • Epidemiology 435
Replace Deborah Yelon with:
Deborah Yelon United States
Jeroen Bakkers Netherlands
James F. Amatruda United States
Adam Amsterdam United States
Emanuel E. Strehler United States
Reinhard W. Köster Germany
Michael R. Bösl Germany
Claude Sardet France
Adam V. Kwiatkowski United States
Ryan M. Anderson United States
Jau‐Nian Chen relative to Deborah Yelon United States Deborah Yelon's profile →
Citations per field
00.5×1.5×
Deborah Yelon · 1×
Citations per year

Countries citing papers authored by Jau‐Nian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jau‐Nian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jau‐Nian Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jau‐Nian Chen. A scholar is included among the top collaborators of Jau‐Nian 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 Jau‐Nian Chen. Jau‐Nian 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
#WorkIndexed citations
1 1
2 3
3 11
4 31
5 27
6 24
7 69
8 1
9 125
10 12
11 35
12 19
13 44
14 37
15 24
16 156
17 200
18 67
19 130
20 8

About Jau‐Nian Chen

Jau‐Nian Chen is a scholar working on Cell Biology, Molecular Biology and Aging, having authored 64 papers that have together received 5.4k indexed citations. Recurring topics across this work include Congenital heart defects research (36 papers), Zebrafish Biomedical Research Applications (19 papers) and Developmental Biology and Gene Regulation (10 papers). The work is most often cited by research in Cell Biology (2.1k citations), Molecular Biology (4.2k citations) and Aging (59 citations). Jau‐Nian Chen has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Mark C. Fishman, Didier Y. R. Stainier, Suk‐Won Jin, Dimitris Beis, Tracy Mitchell, John D. Mably, Adam D. Langenbacher, Sarah J. Childs, Kerri S. Warren and Pascal Haffter. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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