F. Porreca

1.2k citations
19 papers · 974 indexed · h-index 14
Topics
Neuropeptides and Animal Physiology (16 papers)Pain Mechanisms and Treatments (11 papers)Receptor Mechanisms and Signaling (5 papers)
Partner nations
United StatesFrance

In The Last Decade

F. Porreca

18 papers receiving 950 citations

Peers

F. Porreca
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 743
  • Physiology 569
  • Molecular Biology 530
  • Pharmacology 79
  • Surgery 64
Replace Frank Porreca with:
Frank Porreca United States
Margit Szikszay Hungary
C. Dykstra United States
Wojciech Margas United States
Robert Witschi Switzerland
Yuuichi Hori Japan
Katharyn Spiegel United States
Philip J. Monroe United States
C. F. C. SMITH Netherlands
Stéphanie Le Guen France
F. Porreca relative to Frank Porreca United States Frank Porreca's profile →
Citations per field
00.5×3.5×
Frank Porreca · 1×
Citations per year

Countries citing papers authored by F. Porreca

Since Specialization
Citations

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

Fields of papers citing papers by F. Porreca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Porreca. 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 F. Porreca. The network helps show where F. Porreca may publish in the future.

Co-authorship network of co-authors of F. Porreca

This figure shows the co-authorship network connecting the top 25 collaborators of F. Porreca. A scholar is included among the top collaborators of F. Porreca 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 F. Porreca. F. Porreca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 27
3 2
4 108
5 107
6 102
7 17
8 26
9 20
10 55
11 196
12 62
13 36
14 144
15 37
16 30
17
The proenkephalin A fragment peptide E is metabolized centrally to a novel peptide with opioid activity.
2
18
The pro-enkephalin A derivative, peptide E, is centrally processed to active fragments.
2
19
Differential efficacies of proposed kappa agonists on gastrointestinal transit in mice
1

About F. Porreca

F. Porreca is a scholar working on Cellular and Molecular Neuroscience, Physiology and Pharmacology, having authored 19 papers that have together received 974 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Pain Mechanisms and Treatments (11 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (743 citations), Physiology (569 citations) and Behavioral Neuroscience (41 citations). F. Porreca has collaborated with scholars based in United States and France. Frequent co-authors include Peter J. Horan, Henry I. Yamamura, J. Andrew Taylor, Victor J. Hruby, John R. Omnaas, Julius S. Heyman, Jeffry L. Vaught, Henry I. Mosberg, L. Nunan and Russell J. Sheldon. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Brain Research.

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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