M Wollemann

1.4k total citations
81 papers, 1.1k citations indexed

About

M Wollemann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, M Wollemann has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 47 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in M Wollemann's work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (39 papers) and Pharmacological Receptor Mechanisms and Effects (26 papers). M Wollemann is often cited by papers focused on Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (39 papers) and Pharmacological Receptor Mechanisms and Effects (26 papers). M Wollemann collaborates with scholars based in Hungary, France and Slovakia. M Wollemann's co-authors include Sándor Benyhe, Anna Borsodi, Géza Tóth, Ferenc Joó, Zoltán Rakonczay, Joseph Simon, Mária Szűcs, Gábor Jancsó, Judit Farkas and Ferenc Zádor and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

M Wollemann

76 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Wollemann Hungary 19 785 764 205 54 41 81 1.1k
Horace H. Loh United States 25 868 1.1× 796 1.0× 273 1.3× 59 1.1× 70 1.7× 73 1.4k
W.P. De Potter Belgium 20 698 0.9× 720 0.9× 209 1.0× 50 0.9× 27 0.7× 70 1.3k
Linda H. Fossom United States 19 536 0.7× 571 0.7× 106 0.5× 101 1.9× 44 1.1× 32 1.0k
Siegfried Wurster Finland 19 534 0.7× 594 0.8× 149 0.7× 47 0.9× 23 0.6× 30 1.0k
Jean‐Paul De Backer Belgium 21 692 0.9× 644 0.8× 73 0.4× 57 1.1× 86 2.1× 44 1.1k
R. W. Hadley United States 20 1.2k 1.5× 784 1.0× 237 1.2× 29 0.5× 33 0.8× 32 1.5k
P A Insel United States 18 758 1.0× 419 0.5× 180 0.9× 46 0.9× 29 0.7× 28 1000
M T Piascik United States 13 712 0.9× 417 0.5× 299 1.5× 29 0.5× 40 1.0× 19 1.0k
John E. Folk United States 18 535 0.7× 683 0.9× 293 1.4× 97 1.8× 45 1.1× 33 1.1k
Subramaniam Apparsundaram United States 8 672 0.9× 561 0.7× 95 0.5× 38 0.7× 25 0.6× 9 976

Countries citing papers authored by M Wollemann

Since Specialization
Citations

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

Fields of papers citing papers by M Wollemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Wollemann

This figure shows the co-authorship network connecting the top 25 collaborators of M Wollemann. A scholar is included among the top collaborators of M Wollemann 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 Wollemann. M Wollemann 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.
Zádor, Ferenc & M Wollemann. (2015). Receptome: Interactions between three pain-related receptors or the “Triumvirate” of cannabinoid, opioid and TRPV1 receptors. Pharmacological Research. 102. 254–263. 25 indexed citations
2.
Wollemann, M, Fanni Tóth, & Sándor Benyhe. (2012). Protein kinase C inhibitor BIM suspended TRPV1 effect on mu-opioid receptor. Brain Research Bulletin. 90. 114–117. 3 indexed citations
3.
Tóth, Fanni, Géza Tóth, Sándor Benyhe, Catherine Rougeot, & M Wollemann. (2012). Opiorphin highly improves the specific binding and affinity of MERF and MEGY to rat brain opioid receptors. Regulatory Peptides. 178(1-3). 71–75. 13 indexed citations
4.
Csabafi, Krisztina, Miklós Jászberényi, Zsolt Bagosi, et al.. (2011). The action of a synthetic derivative of Met5-enkephalin-Arg6-Phe7 on behavioral and endocrine responses. Peptides. 32(8). 1656–1660. 4 indexed citations
5.
Wollemann, M & Sándor Benyhe. (2004). Non-opioid actions of opioid peptides. Life Sciences. 75(3). 257–270. 60 indexed citations
6.
Tóth, Fanni, Judit Farkas, Géza Tóth, et al.. (2003). Synthesis and binding characteristics of a novel enkephalin analogue, [3H]Tyr-d-Ala-Gly-Phe-d-Nle-Arg-Phe. Peptides. 24(9). 1433–1440. 9 indexed citations
7.
Benyhe, Sándor, Krisztina Monory, Judit Farkas, et al.. (1999). Nociceptin Binding Sites in Frog (Rana esculenta) Brain Membranes. Biochemical and Biophysical Research Communications. 260(3). 592–596. 14 indexed citations
8.
Benyhe, Sándor, Judit Farkas, Géza Tóth, & M Wollemann. (1999). Characterization of [3H]Met-enkephalin-Arg6-Phe7 binding to multiple sites in rat and guinea pig cerebellum. Life Sciences. 64(14). 1189–1196. 15 indexed citations
9.
Wollemann, M, et al.. (1993). The kappa-opioid receptor: Evidence for the different subtypes. Life Sciences. 52(7). 599–611. 97 indexed citations
10.
Benyhe, Sándor, et al.. (1992). Species differences in the stereoselectivity of kappa opioid binding sites for [3H]U-69593 and [3H]ethylketocyclazocine. Life Sciences. 51(21). 1647–1655. 24 indexed citations
11.
Simon, Joseph, Sándor Benyhe, Éva Varga, et al.. (1990). Method for isolation of kappa‐opioid binding sites by dynorphin affinity chromatography. Journal of Neuroscience Research. 25(4). 549–555. 17 indexed citations
12.
Benyhe, Sándor, et al.. (1990). Characterization of kappa1 and kappa2 opioid binding sites in frog (rana esculenta) brain membrane preparation. Neurochemical Research. 15(9). 899–904. 41 indexed citations
13.
Benyhe, Sándor, Éva Varga, Anna Borsodi, & M Wollemann. (1990). The occurrence of different kappa opioid receptors (K1 and K2) in frog (Rana esculenta) brain membranes.. PubMed. 76(4). 291–4. 3 indexed citations
14.
Wollemann, M. (1990). Recent Developments in the Research of Opioid Receptor Subtype Molecular Characterization. Journal of Neurochemistry. 54(4). 1095–1101. 37 indexed citations
15.
Benyhe, Sándor, Tibor Farkas, & M Wollemann. (1989). Effect of sodium on [3H]ethylketocyclazocine binding to opioid receptors in frog brain membranes. Neurochemical Research. 14(3). 205–210. 11 indexed citations
16.
Benyhe, Sándor, Éva Varga, Sándor Hosztafi, et al.. (1989). Effects of oxymorphazone in frogs: Long lasting antinociception in vivo, and apparently irreversible binding in vitro. Life Sciences. 44(24). 1847–1857. 6 indexed citations
17.
Benyhe, Sándor & M Wollemann. (1988). Ethylketocyclazocine and N-cyclopropylmethyl-norazidomorphine are antagonists of morphine-induced analgesia in frog spinal cord. Biochemical Pharmacology. 37(3). 555–556. 10 indexed citations
18.
Benyhe, Sándor, et al.. (1987). Tyr-D-Ala-Gly-(Me)Phe-chloromethyl ketone: A specific affinity label for the opioid receptor. Neuropeptides. 9(3). 225–235. 21 indexed citations
19.
Wollemann, M. (1975). Properties of purified cholinergic and adrenergic receptors. North-Holland eBooks. 3 indexed citations
20.
Wollemann, M. (1974). The action of chlorpromazine on the metabolism of cyclic adenosine 3',5'-monophosphate.. PubMed. 9(0). 731–8. 8 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