Marc B. Cox

49 papers receiving 2.8k citations

Peers

Marc B. Cox
Comparison fields: 5 of 119
  • Behavioral Neuroscience 420
  • Biological Psychiatry 127
  • Endocrinology, Diabetes and Metabolism 405
  • Molecular Biology 1.7k
  • Immunology 505
Replace Phillip W. Dickson with:
Phillip W. Dickson Australia
Jinjiang Fan Canada
Igor Semak Belarus
Lin Yuan China
Mohammed Kalimi United States
Michel F. Rossier Switzerland
Pieter de Lange Italy
Maria Christina W. Avellar Brazil
Yan Jin China
A C Wikström Sweden
Marc B. Cox relative to Phillip W. Dickson Australia Phillip W. Dickson's profile →
Citations per field
00.5×1.5×2.1×
Phillip W. Dickson · 1×
Citations per year

Countries citing papers authored by Marc B. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Marc B. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc B. 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 Marc B. Cox Line = papers co-authored together Marc B. Cox 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 2011219
2 2011218
3 2005190
4 2011182
5 2012180
6 2005172
7 2010159
8 2007132
9 2004108
10 2011106
11 2011105
12 201682
13 201479
14 200876
15 201864
16 201163
17 200457
18 201055
19 200754
20 201348

About Marc B. Cox

Marc B. Cox is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Behavioral Neuroscience, having authored 51 papers that have together received 2.9k indexed citations. Recurring topics across this work include Heat shock proteins research (32 papers), Toxin Mechanisms and Immunotoxins (11 papers), Signaling Pathways in Disease (11 papers), Prostate Cancer Treatment and Research (7 papers), Stress Responses and Cortisol (7 papers), Hormonal Regulation and Hypertension (6 papers), Estrogen and related hormone effects (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (420 citations), Biological Psychiatry (127 citations), Endocrinology, Diabetes and Metabolism (405 citations), Molecular Biology (1.7k citations) and Immunology (505 citations). Marc B. Cox has collaborated with scholars based in United States, Germany and Argentina. Frequent co-authors include Joyce Cheung‐Flynn, Mario D. Galigniana, Daniel L. Riggs, Theo Rein, David F. Smith, Viravan Prapapanich, Chad A. Dickey, Charles A. Miller, Johannes Büchner and David F. Smith. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell Stress and Chaperones and The Science of The Total Environment.

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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