R.E. Papka

4.1k citations
82 papers · 3.6k · h-index 34

Impact in

Papers in

R.E. Papka

81 papers receiving 3.5k citations

Peers

R.E. Papka
Comparison fields: 5 of 107
  • Reproductive Medicine 1.1k
  • Cellular and Molecular Neuroscience 1.6k
  • Endocrine and Autonomic Systems 355
  • Behavioral Neuroscience 152
  • Obstetrics and Gynecology 302
Replace Janet R. Keast with:
Janet R. Keast Australia
M. E. Freeman United States
Mariusz Majewski Poland
B. Kanyicska Hungary
Gregory A. Dissen United States
Hernán E. Lara Chile
J. Alumets Sweden
J.M. Polak United Kingdom
M.A. Ghatei United Kingdom
Costanzo Moretti Italy
R.E. Papka relative to Janet R. Keast Australia Janet R. Keast's profile →
Citations per field
00.5×10.1×
Janet R. Keast · 1×
Citations per year

Countries citing papers authored by R.E. Papka

Since Specialization
Citations

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

Fields of papers citing papers by R.E. Papka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.E. Papka. 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 R.E. Papka. The network helps show where R.E. Papka may publish in the future.

Co-authors

The 25 scholars most cited alongside R.E. Papka, 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 R.E. Papka Line = papers co-authored together R.E. Papka 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 2005367
2 1982288
3 2004188
4 1985167
5 2001166
6 1981119
7 1983109
8 1997103
9 199287
10 198482
11 198780
12 199977
13 200270
14 199669
15 199169
16 199567
17 199861
18 200255
19 199255
20 199350

About R.E. Papka

R.E. Papka is a scholar working on Cellular and Molecular Neuroscience, Physiology, Reproductive Medicine, Surgery and Social Psychology, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (46 papers), Pain Mechanisms and Treatments (16 papers), Hypothalamic control of reproductive hormones (16 papers), Neuroendocrine regulation and behavior (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers), Pregnancy-related medical research (12 papers), Receptor Mechanisms and Signaling (10 papers) and Endometriosis Research and Treatment (9 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Cellular and Molecular Neuroscience (1.6k citations), Endocrine and Autonomic Systems (355 citations), Behavioral Neuroscience (152 citations) and Obstetrics and Gynecology (302 citations). R.E. Papka has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Daniel L. McNeill, Harold H. Traurig, Karen J. Berkley, John B. Furness, Marcello Costa, Andrea J. Rapkin, J. Collins, Megan E. Storey-Workley, Ronald L. Shew and Robert L. Eskay. Their work appears in journals such as Cell and Tissue Research, Peptides, Neuroscience, Journal of Histochemistry & Cytochemistry and The Anatomical Record.

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.

Explore authors with similar magnitude of impact