Martin Geppert
- Molecular Biology top 2%
- Cell Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 5%
- Physiology top 0.5%
- Co-authors
- Thomas C. SüdhofYukiko GodaCharles F. StevensRobert E. HammerCai LiAlexander G. PetrenkoYuri A. UshkaryovThomas W. Rosahl
- Topics
- Cellular transport and secretion (11 papers)Lipid Membrane Structure and Behavior (5 papers)Erythrocyte Function and Pathophysiology (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martin Geppert
23 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 3.5k
- Cell Biology 3.0k
- Cellular and Molecular Neuroscience 2.3k
- Physiology 586
- Physiology 335
Countries citing papers authored by Martin Geppert
This map shows the geographic impact of Martin Geppert'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 Martin Geppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Geppert more than expected).
Fields of papers citing papers by Martin Geppert
This network shows the impact of papers produced by Martin Geppert. 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 Martin Geppert. The network helps show where Martin Geppert may publish in the future.
Co-authorship network of co-authors of Martin Geppert
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Geppert. A scholar is included among the top collaborators of Martin Geppert 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 Martin Geppert. Martin Geppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 4 | |
| 3 | 315 | |
| 4 | German telecommunication law and the new European regulatory framework | 0 |
| 5 | RIM1α forms a protein scaffold for regulating neurotransmitter release at the active zonebreakdown → | 466 |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 353 | |
| 9 | Handbuch Recht und Praxis der Telekommunikation | 2 |
| 10 | 77 | |
| 11 | 224 | |
| 12 | The small GTP-binding protein Rab3A regulates a late step in synaptic vesicle fusionbreakdown → | 354 |
| 13 | Synaptotagmin I: A major Ca2+ sensor for transmitter release at a central synapsebreakdown → | 1196 |
| 14 | The role of Rab3A in neurotransmitter releasebreakdown → | 402 |
| 15 | 172 | |
| 16 | 10 | |
| 17 | Neurexins: Synaptic Cell Surface Proteins Related to the α-Latrotoxin Receptor and Lamininbreakdown → | 548 |
| 18 | 210 | |
| 19 | 48 | |
| 20 | 62 |
About Martin Geppert
Martin Geppert is a scholar working on Cell Biology, Physiology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Lipid Membrane Structure and Behavior (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Cell Biology (3.0k citations), Cellular and Molecular Neuroscience (2.3k citations) and Physiology (335 citations). Martin Geppert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas C. Südhof, Yukiko Goda, Charles F. Stevens, Robert E. Hammer, Cai Li, Alexander G. Petrenko, Yuri A. Ushkaryov, Thomas W. Rosahl, Pietro De Camilli and Kohji Takei. Their work appears in journals such as Nature, Science and Cell.
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.