Robert J. Ertel

682 citations
27 papers · 573 indexed · h-index 15
Topics
Estrogen and related hormone effects (4 papers)Receptor Mechanisms and Signaling (4 papers)Steroid Chemistry and Biochemistry (4 papers)
Partner nations
United States

In The Last Decade

Robert J. Ertel

27 papers receiving 505 citations

Peers

Robert J. Ertel
Comparison fields: 5 of 85
  • Molecular Biology 290
  • Pharmacology 127
  • Cellular and Molecular Neuroscience 93
  • Endocrinology, Diabetes and Metabolism 80
  • Physiology 60
Replace E.S. Vesell with:
E.S. Vesell United States
H. J. Sch�mann Germany
Faizy Ahmed United States
W. Lippmann United States
Diane M. Hargrove United States
Masaaki Tomoi Japan
Ruth S. Gurd United States
Frederick N. Minard United States
Timothy J. Maher United States
Donald O. Allen United States
Robert J. Ertel relative to E.S. Vesell United States E.S. Vesell's profile →
Citations per field
00.5×2.5×
E.S. Vesell · 1×
Citations per year

Countries citing papers authored by Robert J. Ertel

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Ertel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Ertel. 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 Robert J. Ertel. The network helps show where Robert J. Ertel may publish in the future.

Co-authorship network of co-authors of Robert J. Ertel

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Ertel. A scholar is included among the top collaborators of Robert J. Ertel 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 Robert J. Ertel. Robert J. Ertel 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 28
2 14
3 31
4 9
5 87
6 6
7 3
8 21
9
Autonomic receptors and choline uptake in embryonic chick myocardial cell cultures.
3
10 7
11 15
12 26
13 40
14 51
15
Circadian rhythm in serum 5-hydroxytryptamine of healthy men and male patients with mental retardation.
7
16 22
17 19
18 22
19
Circadian rhythm in susceptibility of mice to toxic doses of su-4885. Abstr.
2
20 31

About Robert J. Ertel

Robert J. Ertel is a scholar working on Small Animals, Endocrine and Autonomic Systems and Pharmacology, having authored 27 papers that have together received 573 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Receptor Mechanisms and Signaling (4 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Toxicology (29 citations), Endocrine and Autonomic Systems (51 citations) and Pharmacology (127 citations). Robert J. Ertel has collaborated with scholars based in United States. Frequent co-authors include Herbert Weissbach, Frank Ungar, Nathan Brot, Regis R. Vollmer, Betty Redfield, Joseph P. Buckley, Icilio Cavero, N Brot, Jorge E. Allende and K. W. Snowdowne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Endocrinology.

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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