Gregory A. Cox

7.8k citations
82 papers · 4.4k · h-index 38

Impact in

Papers in

Gregory A. Cox

79 papers receiving 4.4k citations

Peers

Gregory A. Cox
Comparison fields: 5 of 119
  • Genetics 617
  • Cellular and Molecular Neuroscience 891
  • Molecular Biology 3.3k
  • Neurology 577
  • Cell Biology 497
Replace Marina Mora with:
Marina Mora Italy
Steven J. Gray United States
Scott Q. Harper United States
Haluk Topaloğlu Türkiye
Peter N. Ray Canada
Luc A. Sabourin Canada
Bjarne Udd Finland
Mario Molinaro Italy
Shannon J. Odelberg United States
Peter G. Noakes Australia
Gregory A. Cox relative to Marina Mora Italy Marina Mora's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gregory A. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Gregory A. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993231
2 1997221
3 2007171
4 2006169
5 2015166
6 1993164
7 1996161
8 2007154
9 1994145
10 2005142
11 2016117
12 2016116
13 2002115
14 2005109
15 1998105
16 200590
17 201187
18 200084
19 200884
20 201283

About Gregory A. Cox

Gregory A. Cox is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 4.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (32 papers), Neurogenetic and Muscular Disorders Research (17 papers), Amyotrophic Lateral Sclerosis Research (12 papers), Mitochondrial Function and Pathology (10 papers), Hereditary Neurological Disorders (9 papers), RNA Research and Splicing (9 papers), Cardiomyopathy and Myosin Studies (9 papers) and Neurological diseases and metabolism (7 papers). The work is most often cited by research in Genetics (617 citations), Cellular and Molecular Neuroscience (891 citations), Molecular Biology (3.3k citations), Neurology (577 citations) and Cell Biology (497 citations). Gregory A. Cox has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Jeffrey S. Chamberlain, Kevin L. Seburn, Kevin P. Campbell, Wayne N. Frankel, Roger B. Sher, Stephanie F. Phelps, Wayne N. Frankel, Connie L. Mahaffey, Robert W. Burgess and John P. Sundberg. Their work appears in journals such as Human Molecular Genetics, Journal of Biological Chemistry, PLoS ONE, Nature Genetics and Journal of Virology.

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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