John P. Mathis

805 citations
17 papers · 716 · h-index 12

Impact in

Papers in

    • Neuropeptides and Animal Physiology 16
    • Neuroscience and Neuropharmacology Research 2
    • Receptor Mechanisms and Signaling 15
    • Chemical Synthesis and Analysis 3
    • Pharmacological Receptor Mechanisms and Effects 2

John P. Mathis

17 papers receiving 691 citations

Peers

John P. Mathis
Comparison fields: 5 of 57
  • Cellular and Molecular Neuroscience 572
  • Endocrine and Autonomic Systems 78
  • Reproductive Medicine 83
  • Physiology 240
  • Molecular Biology 457
Replace Kazuhisa Kashimoto with:
Kazuhisa Kashimoto Japan
Osvaldo Vindrola Argentina
Valérie Turquier France
Yvette Torrens France
H Bonin Canada
Andrew P. Smith United States
Jean F. Schaefer United States
Girolamo Calo’ Italy
Aline Brouard France
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Citations per field
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Citations per year

Countries citing papers authored by John P. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by John P. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Mathis. 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 John P. Mathis. The network helps show where John P. Mathis may publish in the future.

Co-authors

The 25 scholars most cited alongside John P. Mathis, 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 John P. Mathis Line = papers co-authored together John P. Mathis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1998170
2 1993140
3 1997107
4 199849
5 200043
6 199639
7 199237
8 200021
9 199919
10 199819
11 199216
12 199612
13 199611
14 200111
15 200111
16 20088
17 20003

About John P. Mathis

John P. Mathis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Reproductive Medicine, Physiology and Nutrition and Dietetics, having authored 17 papers that have together received 716 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (15 papers), Hypothalamic control of reproductive hormones (3 papers), Chemical Synthesis and Analysis (3 papers), Pain Mechanisms and Treatments (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (572 citations), Endocrine and Autonomic Systems (78 citations), Reproductive Medicine (83 citations), Physiology (240 citations) and Molecular Biology (457 citations). John P. Mathis has collaborated with scholars based in United States. Frequent co-authors include Gavril W. Pasternak, Iris Lindberg, Grace C. Rossi, Jennifer P. Ryan‐Moro, Liza Leventhal, Sharon R. Letchworth, Suzanne Benjannet, Nabil Georges Seidah, Claude Lazure and Richard J. Bodnar. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Biological Chemistry, Brain Research, Endocrinology and Journal of Neurochemistry.

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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