M.A. Statnick

408 total citations
8 papers, 343 citations indexed

About

M.A. Statnick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, M.A. Statnick has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in M.A. Statnick's work include Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). M.A. Statnick is often cited by papers focused on Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). M.A. Statnick collaborates with scholars based in United States, Sweden and Canada. M.A. Statnick's co-authors include Ronald A. Browning, Donald R. Gehlert, Phillip C. Jobe, J.W. Dailey, David W. Johnson, Douglas A. Schober, Ingrid Lundell, Dan Larhammar, Richard W. Clough and Françoise Rohner‐Jeanrenaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Pharmacology and Experimental Therapeutics and International Journal of Obesity.

In The Last Decade

M.A. Statnick

8 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.A. Statnick United States	8	246	152	101	75	57	8	343
Sylvester E. Vizi Hungary	8	266 1.1×	176 1.2×	54 0.5×	57 0.8×	33 0.6×	16	417
Linda Rorick‐Kehn United States	7	227 0.9×	208 1.4×	96 1.0×	64 0.9×	20 0.4×	8	368
Pernilla Fagergren Sweden	8	252 1.0×	184 1.2×	123 1.2×	113 1.5×	10 0.2×	9	433
Lisa Bednarz United States	12	398 1.6×	234 1.5×	86 0.9×	65 0.9×	33 0.6×	16	522
Christopher E. Maggos United States	13	542 2.2×	333 2.2×	78 0.8×	95 1.3×	18 0.3×	13	712
Anwar Hamdi United States	12	183 0.7×	90 0.6×	77 0.8×	53 0.7×	35 0.6×	20	339
Christian Juanéda France	9	212 0.9×	108 0.7×	86 0.9×	49 0.7×	50 0.9×	10	353
Kensuke Utsunomiya Japan	12	82 0.3×	62 0.4×	96 1.0×	59 0.8×	60 1.1×	19	339
M. Rigo Switzerland	9	313 1.3×	228 1.5×	48 0.5×	22 0.3×	29 0.5×	9	446
Sally E. Hays United States	13	467 1.9×	343 2.3×	73 0.7×	70 0.9×	73 1.3×	17	624

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-authorship network of co-authors of M.A. Statnick

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

All Works

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8 of 8 papers shown

Raddad, Eyas, Amy S. Chappell, Jeffrey H. Meyer, et al.. (2016). Occupancy of Nociceptin/Orphanin FQ Peptide Receptors by the Antagonist LY2940094 in Rats and Healthy Human Subjects. Drug Metabolism and Disposition. 44(9). 1536–1542. 20 indexed citations

Statnick, M.A., Jeffrey M. Witkin, Linda Rorick‐Kehn, et al.. (2015). A Novel Nociceptin Receptor Antagonist LY2940094 Inhibits Excessive Feeding Behavior in Rodents: A Possible Mechanism for the Treatment of Binge Eating Disorder. Journal of Pharmacology and Experimental Therapeutics. 356(2). 493–502. 41 indexed citations

Gackenheimer, Susan L., John E. Pintar, William J. Wheeler, et al.. (2005). Localization of opioid receptor antagonist [3H]-LY255582 binding sites in mouse brain: Comparison with the distribution of mu, delta and kappa binding sites. Neuropeptides. 39(6). 559–567. 23 indexed citations

Rohner‐Jeanrenaud, Françoise, et al.. (2002). Chronic central infusion of cocaine- and amphetamine-regulated transcript (CART 55-102): effects on body weight homeostasis in lean and high-fat-fed obese rats. International Journal of Obesity. 26(2). 143–149. 68 indexed citations

Statnick, M.A., J.W. Dailey, Phillip C. Jobe, & Ronald A. Browning. (1996). Abnormalities in 5-HT1A and 5-HT1B receptor binding in severe-seizure genetically epilepsy-prone rats (GEPR-9s). Neuropharmacology. 35(1). 111–118. 29 indexed citations

Statnick, M.A., et al.. (1996). Effect of 5,7-dihydroxytryptamine on audiogenic seizures in genetically epilepsy-prone rats. Life Sciences. 59(21). 1763–1771. 52 indexed citations

Lundell, Ingrid, M.A. Statnick, David W. Johnson, et al.. (1996). The cloned rat pancreatic polypeptide receptor exhibits profound differences to the orthologous receptor.. Proceedings of the National Academy of Sciences. 93(10). 5111–5115. 93 indexed citations

Clough, Richard W., et al.. (1994). Effects of Intraventricular Locus Coeruleus Transplants on Seizure Severity in Genetically Epilepsy‐Prone Rats Following Depletion of Brain Norepinephrine. Neural Plasticity. 5(1). 65–79. 17 indexed citations

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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