M.A. Statnick

408 citations
8 papers · 343 · h-index 8

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Ion channel regulation and function 2
    • Pharmacological Receptor Mechanisms and Effects 1
    • Neuropeptides and Animal Physiology 4
    • Neuroscience and Neuropharmacology Research 3

M.A. Statnick

8 papers receiving 338 citations

Peers

M.A. Statnick
Comparison fields: 5 of 40
  • Endocrine and Autonomic Systems 98
  • Cellular and Molecular Neuroscience 229
  • Behavioral Neuroscience 12
  • Psychiatry and Mental health 44
  • Reproductive Medicine 25
Replace S.D. Iversen with:
S.D. Iversen United States
M. Rigo Switzerland
Lisa Bednarz United States
Catarina Soares Potes Switzerland
W. Engel Germany
Kensuke Utsunomiya Japan
Rafael Galindo United States
Christian Juanéda France
Linda Rorick‐Kehn United States
Huei‐Bin Wang United States
M.A. Statnick relative to S.D. Iversen United States S.D. Iversen's profile →
Citations per field
00.5×10×16×
S.D. Iversen · 1×
Citations per year

Countries citing papers authored by M.A. Statnick

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Statnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Statnick. 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 M.A. Statnick. The network helps show where M.A. Statnick may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 199693
2 200268
3 199652
4 201541
5 199629
6 200523
7 201620
8 199417

About M.A. Statnick

M.A. Statnick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Surgery and Nutrition and Dietetics, having authored 8 papers that have together received 343 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers), Regulation of Appetite and Obesity (2 papers), Hypothalamic control of reproductive hormones (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (98 citations), Cellular and Molecular Neuroscience (229 citations), Behavioral Neuroscience (12 citations), Psychiatry and Mental health (44 citations) and Reproductive Medicine (25 citations). M.A. Statnick has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Ronald A. Browning, Donald R. Gehlert, Phillip C. Jobe, J.W. Dailey, Douglas A. Schober, Ingrid Lundell, Dan Larhammar, David W. Johnson, Richard W. Clough and John E. Pintar. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Neural Plasticity, Neuropeptides, International Journal of Obesity and Proceedings of the National Academy of Sciences.

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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