Beth A. Kozel

65 papers receiving 1.6k citations

Peers

Beth A. Kozel
Comparison fields: 5 of 108
  • Developmental Neuroscience 293
  • Genetics 757
  • Immunology and Allergy 84
  • Cancer Research 137
  • Cell Biology 158
Replace Beril Talim with:
Beril Talim Türkiye
Laura Perani Italy
Guibin Chen United States
Jaroslav Mokrý Czechia
Thomas D. Arnold United States
Makoto Migita Japan
A. M. Wobus Germany
Matilde Cescon Italy
Paul Delgado-Olguı́n Canada
Elias Shezen Israel
Beth A. Kozel relative to Beril Talim Türkiye Beril Talim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beth A. Kozel

Since Specialization
Citations

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

Fields of papers citing papers by Beth A. Kozel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth A. Kozel. 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 Beth A. Kozel. The network helps show where Beth A. Kozel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005138
2 2005129
3 2021122
4 2003111
5 201187
6 200573
7 200970
8 201866
9 201766
10 200461
11 201955
12 201352
13 201650
14 201841
15 201138
16 201633
17 201132
18 201430
19 201229
20 202029

About Beth A. Kozel

Beth A. Kozel is a scholar working on Developmental Neuroscience, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Williams Syndrome Research (30 papers), Connective tissue disorders research (20 papers), Cardiomyopathy and Myosin Studies (7 papers), Nuclear Receptors and Signaling (5 papers), Congenital heart defects research (3 papers), RNA Research and Splicing (3 papers), Elasticity and Material Modeling (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (293 citations), Genetics (757 citations), Immunology and Allergy (84 citations), Cancer Research (137 citations) and Cell Biology (158 citations). Beth A. Kozel has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Robert P. Mecham, Elaine C. Davis, Russell H. Knutsen, Thomas J. Broekelmann, Barbara R. Pober, Christopher Ciliberto, Hiroshi Wachi, Brenda J. Rongish, András Czirók and Jessica E. Wagenseil. Their work appears in journals such as Matrix Biology, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Biological Chemistry, European Journal of Human Genetics and Genetics in Medicine.

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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