Carol X.‐Q. Chen

813 citations
16 papers · 385 indexed · h-index 10
Topics
Pluripotent Stem Cells Research (8 papers)CRISPR and Genetic Engineering (5 papers)Cellular transport and secretion (2 papers)
Partner nations
CanadaFranceGermany

In The Last Decade

Carol X.‐Q. Chen

14 papers receiving 382 citations

Peers

Carol X.‐Q. Chen
Comparison fields: 5 of 55
  • Molecular Biology 243
  • Neurology 149
  • Cellular and Molecular Neuroscience 122
  • Epidemiology 86
  • Cell Biology 64
Replace Ketan S. Patil with:
Ketan S. Patil United States
Vitaliy V. Bondar United States
Silvia De Cicco Germany
Jennifer L. Badger United Kingdom
Laura Rué Belgium
Hongrui Meng China
Isabel Onofre Portugal
Nguyen‐Vi Mohamed Canada
Antonia De Maio United States
S. Sebastian Pineda United States
Carol X.‐Q. Chen relative to Ketan S. Patil United States Ketan S. Patil's profile →
Citations per field
00.5×1.7×
Ketan S. Patil · 1×
Citations per year

Countries citing papers authored by Carol X.‐Q. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Carol X.‐Q. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol X.‐Q. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Carol X.‐Q. Chen. A scholar is included among the top collaborators of Carol X.‐Q. 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 Carol X.‐Q. Chen. Carol X.‐Q. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 14
3 3
4 11
5 6
6 8
7 7
8 13
9 16
10 0
11 35
12 15
13 13
14 15
15 113
16 116

About Carol X.‐Q. Chen

Carol X.‐Q. Chen is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 385 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (5 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Neurology (149 citations), Cellular and Molecular Neuroscience (122 citations) and Cell Biology (64 citations). Carol X.‐Q. Chen has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Edward A. Fon, Thomas M. Durcan, Jean‐François Trempe, Philippe Séguéla, Guennadi Kozlov, Karl Grenier, Kalle Gehring, Peter S. McPherson, Maria Kontogiannea and Penny A. MacDonald. Their work appears in journals such as Molecular Cell, Scientific Reports and Molecular Biology of the Cell.

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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