M Wollemann
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Pharmacological Receptor Mechanisms and Effects
- Chemical Synthesis and Analysis
- Ion channel regulation and function
Papers in
-
- Receptor Mechanisms and Signaling 42
- Pharmacological Receptor Mechanisms and Effects 26
- Lipid Membrane Structure and Behavior 7
- Mitochondrial Function and Pathology 5
-
- Neuropeptides and Animal Physiology 46
- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Sándor Benyhe (33 shared papers)Anna Borsodi (21 shared papers)Zoltán Rakonczay (1 shared paper)Ferenc Joó (1 shared paper)Géza Tóth (15 shared papers)Joseph Simon (11 shared papers)Mária Szűcs (12 shared papers)Gábor Jancsó (3 shared papers)
In The Last Decade
M Wollemann
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 817
- Molecular Biology 859
- Physiology 218
- Sensory Systems 38
- Neurology 48
Countries citing papers authored by M Wollemann
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
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-authors
The 25 scholars most cited alongside M Wollemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 125 | |
| 2 | 1993 | 107 | |
| 3 | 2004 | 61 | |
| 4 | 1986 | 57 | |
| 5 | 1984 | 49 | |
| 6 | 1990 | 45 | |
| 7 | 1977 | 39 | |
| 8 | 1990 | 38 | |
| 9 | 1972 | 32 | |
| 10 | 1994 | 26 | |
| 11 | 2015 | 26 | |
| 12 | 1987 | 26 | |
| 13 | 1992 | 25 | |
| 14 | 1985 | 24 | |
| 15 | 1977 | 23 | |
| 16 | 1983 | 23 | |
| 17 | 1975 | 22 | |
| 18 | 1987 | 22 | |
| 19 | 1991 | 20 | |
| 20 | 1981 | 20 |
About M Wollemann
M Wollemann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Biochemistry and Cancer Research, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (46 papers), Receptor Mechanisms and Signaling (42 papers), Pharmacological Receptor Mechanisms and Effects (26 papers), Lipid Membrane Structure and Behavior (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Pain Mechanisms and Treatments (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (817 citations), Molecular Biology (859 citations), Physiology (218 citations), Sensory Systems (38 citations) and Neurology (48 citations). M Wollemann has collaborated with scholars based in Hungary, France and Italy. Frequent co-authors include Sándor Benyhe, Anna Borsodi, Zoltán Rakonczay, Ferenc Joó, Géza Tóth, Joseph Simon, Mária Szűcs, Gábor Jancsó, Judit Farkas and Ferenc Zádor. Their work appears in journals such as Life Sciences, Biochemical Pharmacology, Journal of Neurochemistry, Neuropeptides and Neurochemical Research.
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.