Paul Marquez

491 citations
17 papers · 397 · h-index 13

Impact in

Papers in

Paul Marquez

17 papers receiving 383 citations

Peers

Paul Marquez
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 317
  • Behavioral Neuroscience 39
  • Physiology 143
  • Endocrine and Autonomic Systems 30
  • Reproductive Medicine 36
Replace Randy J. Leitermann with:
Randy J. Leitermann United States
A Naidu United States
Juergen Wichmann Switzerland
Andrea S. Moskowitz United States
N.A. Sharif United Kingdom
Jenni Kononoff United States
M. S. A. Kumar United States
I.B. Kinscheck United States
Begoña Fernández‐Pastor Spain
Minh P. Lam Canada
Paul Marquez relative to Randy J. Leitermann United States Randy J. Leitermann's profile →
Citations per field
00.5×4.7×
Randy J. Leitermann · 1×
Citations per year

Countries citing papers authored by Paul Marquez

Since Specialization
Citations

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

Fields of papers citing papers by Paul Marquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Paul Marquez, 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 Paul Marquez Line = papers co-authored together Paul Marquez links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201072
2 200739
3 200731
4 201326
5 200825
6 200924
7 201223
8 201822
9 200622
10 201021
11 201719
12 200818
13 201118
14 201312
15 20209
16 20199
17 20127

About Paul Marquez

Paul Marquez is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Social Psychology and Reproductive Medicine, having authored 17 papers that have together received 397 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (11 papers), Pain Mechanisms and Treatments (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroendocrine regulation and behavior (4 papers), Hypothalamic control of reproductive hormones (3 papers), Stress Responses and Cortisol (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (317 citations), Behavioral Neuroscience (39 citations), Physiology (143 citations), Endocrine and Autonomic Systems (30 citations) and Reproductive Medicine (36 citations). Paul Marquez has collaborated with scholars based in United States and France. Frequent co-authors include Kabirullah Lutfy, Abdul Hamid, Theodore C. Friedman, Ramkumarie Baliram, Alexander T. Nguyen, Brigitte L. Kieffer, Nurulain T. Zaveri, Mayank Garg, Willma E. Polgar and Christopher J. Evans. Their work appears in journals such as European Journal of Pharmacology, Neuropharmacology, Psychopharmacology, Behavioral Neuroscience and Biological Psychiatry.

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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