Willma E. Polgar

1.8k total citations
62 papers, 1.5k citations indexed

About

Willma E. Polgar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Willma E. Polgar has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 53 papers in Cellular and Molecular Neuroscience and 16 papers in Physiology. Recurrent topics in Willma E. Polgar's work include Neuropeptides and Animal Physiology (50 papers), Receptor Mechanisms and Signaling (49 papers) and Pharmacological Receptor Mechanisms and Effects (24 papers). Willma E. Polgar is often cited by papers focused on Neuropeptides and Animal Physiology (50 papers), Receptor Mechanisms and Signaling (49 papers) and Pharmacological Receptor Mechanisms and Effects (24 papers). Willma E. Polgar collaborates with scholars based in United States, United Kingdom and Italy. Willma E. Polgar's co-authors include Lawrence Toll, Nurulain T. Zaveri, Taline V. Khroyan, Faming Jiang, Cris Olsen, Stephen M. Husbands, Gilda H. Loew, Dennis Yasuda, Gerta Cami‐Kobeci and Pankaj Daga and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Willma E. Polgar

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willma E. Polgar United States 23 1.1k 1.1k 501 192 71 62 1.5k
Cullen L. Schmid United States 21 1.4k 1.3× 1.5k 1.4× 312 0.6× 144 0.8× 204 2.9× 29 2.0k
Marjia Sultana Bangladesh 15 1.6k 1.4× 1.8k 1.7× 707 1.4× 98 0.5× 47 0.7× 46 2.3k
Kirsten M. Raehal United States 16 1.1k 1.0× 1.2k 1.2× 358 0.7× 94 0.5× 205 2.9× 17 1.7k
Michael J. Rance United Kingdom 17 1.1k 1.0× 1.2k 1.1× 379 0.8× 97 0.5× 106 1.5× 40 1.5k
Sándor Benyhe Hungary 25 1.5k 1.3× 1.6k 1.5× 482 1.0× 121 0.6× 293 4.1× 157 2.3k
Mahmoud Al‐Khrasani Hungary 21 551 0.5× 647 0.6× 478 1.0× 55 0.3× 77 1.1× 72 1.2k
P. S. Portoghese United States 24 1.4k 1.3× 1.6k 1.5× 375 0.7× 222 1.2× 115 1.6× 57 2.0k
Diane L. DeHaven‐Hudkins United States 18 615 0.5× 541 0.5× 222 0.4× 195 1.0× 77 1.1× 46 1.1k
Ankur Gupta India 15 727 0.6× 790 0.7× 191 0.4× 117 0.6× 204 2.9× 23 1.3k
Neil T. Burford United States 20 870 0.8× 776 0.7× 161 0.3× 59 0.3× 94 1.3× 32 1.1k

Countries citing papers authored by Willma E. Polgar

Since Specialization
Citations

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

Fields of papers citing papers by Willma E. Polgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willma E. Polgar. 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 Willma E. Polgar. The network helps show where Willma E. Polgar may publish in the future.

Co-authorship network of co-authors of Willma E. Polgar

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

All Works

20 of 20 papers shown
1.
Polgar, Willma E., et al.. (2023). Discovery and structure-activity relationships (SAR) of a novel class of 2-substituted N-piperidinyl indole-based nociceptin opioid receptor ligands. Bioorganic & Medicinal Chemistry. 92. 117421–117421. 3 indexed citations
3.
5.
Khroyan, Taline V., Dennis Yasuda, Lawrence Toll, Willma E. Polgar, & Nurulain T. Zaveri. (2015). High affinity α3β4 nicotinic acetylcholine receptor ligands AT-1001 and AT-1012 attenuate cocaine-induced conditioned place preference and behavioral sensitization in mice. Biochemical Pharmacology. 97(4). 531–541. 19 indexed citations
6.
Polgar, Willma E., et al.. (2014). Designing bifunctional NOP receptor–mu opioid receptor ligands from NOP-receptor selective scaffolds. Part II. Bioorganic & Medicinal Chemistry. 22(8). 2508–2516. 22 indexed citations
7.
Wu, Jinhua, David C. Perry, Faming Jiang, et al.. (2013). [125I]AT-1012, a new high affinity radioligand for the α3β4 nicotinic acetylcholine receptors. Neuropharmacology. 77. 193–199. 12 indexed citations
8.
Zaveri, Nurulain T., Faming Jiang, Cris Olsen, Willma E. Polgar, & Lawrence Toll. (2013). Designing bifunctional NOP receptor–mu opioid receptor ligands from NOP receptor-selective scaffolds. Part I.. Bioorganic & Medicinal Chemistry Letters. 23(11). 3308–3313. 36 indexed citations
9.
Toll, Lawrence, Nurulain T. Zaveri, Willma E. Polgar, et al.. (2012). AT-1001: A High Affinity and Selective α3β4 Nicotinic Acetylcholine Receptor Antagonist Blocks Nicotine Self-Administration in Rats. Neuropsychopharmacology. 37(6). 1367–1376. 66 indexed citations
11.
Madrid, Peter B., Willma E. Polgar, Lawrence Toll, & Mary J. Tanga. (2007). Synthesis and antitubercular activity of phenothiazines with reduced binding to dopamine and serotonin receptors. Bioorganic & Medicinal Chemistry Letters. 17(11). 3014–3017. 57 indexed citations
12.
Spagnolo, Barbara, Girolamo Calò, Willma E. Polgar, et al.. (2007). Activities of mixed NOP and μ‐opioid receptor ligands. British Journal of Pharmacology. 153(3). 609–619. 52 indexed citations
13.
Khroyan, Taline V., Nurulain T. Zaveri, Willma E. Polgar, et al.. (2006). SR 16435 [1-(1-(Bicyclo[3.3.1]nonan-9-yl)piperidin-4-yl)indolin-2-one], a Novel Mixed Nociceptin/Orphanin FQ/μ-Opioid Receptor Partial Agonist: Analgesic and Rewarding Properties in Mice. Journal of Pharmacology and Experimental Therapeutics. 320(2). 934–943. 58 indexed citations
14.
Zaveri, Nurulain T., Faming Jiang, Cris Olsen, Willma E. Polgar, & Lawrence Toll. (2005). Small-molecule agonists and antagonists of the opioid receptor-like receptor (ORL1, NOP): Ligand-based analysis of structural factors influencing intrinsic activity at NOP. The AAPS Journal. 7(2). E345–E352. 49 indexed citations
15.
MacDougall, James M., Xiaodong Zhang, Willma E. Polgar, et al.. (2005). Synthesis and in vitro biological evaluation of a carbon glycoside analogue of morphine-6-glucuronide. Bioorganic & Medicinal Chemistry Letters. 15(6). 1583–1586. 9 indexed citations
16.
MacDougall, James M., Xiaodong Zhang, Willma E. Polgar, et al.. (2004). Synthesis and biological evaluation of some 6-arylamidomorphines as analogues of morphine-6-glucuronide. Bioorganic & Medicinal Chemistry. 12(22). 5983–5990. 10 indexed citations
17.
Gupta, Daya S., et al.. (2001). Ovarian Sex Steroid-Dependent Plasticity of Nociceptin/Orphanin FQ and Opioid Modulation of Spinal Dynorphin Release. Journal of Pharmacology and Experimental Therapeutics. 298(3). 1213–1220. 19 indexed citations
18.
Toll, Lawrence, et al.. (1997). Characterization of the δ-opioid receptor found in SH-SY5Y neuroblastoma cells. European Journal of Pharmacology. 323(2-3). 261–267. 8 indexed citations
19.
Polgar, Willma E., Catherine M. Bitler, & Lawrence Toll. (1996). Desensitization of melanotropin receptors in COS-7 cells. Life Sciences. 58(15). 1223–1229. 5 indexed citations
20.
Polgar, Willma E., et al.. (1993). Comparison of κ2-opioid receptors in guinea pig brain and guinea pig ileum membranes. European Journal of Pharmacology. 231(2). 251–258. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026