R.E. Papka

4.0k citations
77 papers · 3.4k indexed · h-index 32

R.E. Papka

77 papers receiving 3.3k citations

Peers

R.E. Papka
Comparison fields: 5 of 109
  • Reproductive Medicine 1.1k
  • Cellular and Molecular Neuroscience 1.6k
  • Obstetrics and Gynecology 446
  • Endocrine and Autonomic Systems 325
  • Behavioral Neuroscience 156
Replace Ruijin Shao with:
Ruijin Shao Sweden
Janet R. Keast Australia
M. E. Freeman United States
Zhenmin Lei United States
Gregory A. Dissen United States
Hernán E. Lara Chile
Mariusz Majewski Poland
B. Kanyicska Hungary
Francisco Gaytán Spain
Duarte Pignatelli Portugal
R.E. Papka relative to Ruijin Shao Sweden Ruijin Shao's profile →
Citations per field
00.5×2.8×
Ruijin Shao · 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-authorship network

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
#Work
1 200526
2 200518
3 2004183
4 200340
5
Vascular endothelial growth factor (VEGF), its receptors (KDR and Flt-1) and eNOS are up-regulated in the rat uterine cervix during pregnancy
20031
6 200217
7 200119
8 2001159
9 199920
10 199949
11 199629
12 199564
13 19923
14 199230
15 19926
16 199250
17 199113
18 198930
19 198827
20 198842

About R.E. Papka

R.E. Papka is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology and Behavioral Neuroscience, having authored 77 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (44 papers), Neuroendocrine regulation and behavior (16 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers), Hypothalamic control of reproductive hormones (15 papers), Pain Mechanisms and Treatments (14 papers), Pregnancy-related medical research (13 papers), Endometriosis Research and Treatment (9 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Cellular and Molecular Neuroscience (1.6k citations), Obstetrics and Gynecology (446 citations), Endocrine and Autonomic Systems (325 citations) and Behavioral Neuroscience (156 citations). R.E. Papka has collaborated with scholars based in United States, Australia and Austria. Frequent co-authors include Daniel L. McNeill, Karen J. Berkley, Harold H. Traurig, John B. Furness, Marcello Costa, Andrea J. Rapkin, J. Collins, Megan E. Storey-Workley, Ronald L. Shew and Sharon Usip. Their work appears in journals such as Cell and Tissue Research, Peptides, Neuroscience, Annals of the New York Academy of Sciences and Experimental Neurology.

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

Rankless by CCL
2026