Martin Vaeth
- Immunology top 2%
- Molecular Biology top 10%
- Sensory Systems top 0.5%
- Oncology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Stefan FeskeFriederike Berberich‐SiebeltEdgar SerflingMiriam EcksteinSascha KahlfußJun J. YangStefan Klein-HeßlingPatrick J. Shaw
- Topics
- Immune Cell Function and Interaction (23 papers)Ion Channels and Receptors (15 papers)T-cell and B-cell Immunology (13 papers)
- Cited by
- Sensory SystemsImmunologyPhysiology
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Martin Vaeth
51 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 1.1k
- Molecular Biology 989
- Sensory Systems 598
- Oncology 353
- Cellular and Molecular Neuroscience 233
Countries citing papers authored by Martin Vaeth
This map shows the geographic impact of Martin Vaeth'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 Vaeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Vaeth more than expected).
Fields of papers citing papers by Martin Vaeth
This network shows the impact of papers produced by Martin Vaeth. 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 Vaeth. The network helps show where Martin Vaeth may publish in the future.
Co-authorship network of co-authors of Martin Vaeth
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Vaeth. A scholar is included among the top collaborators of Martin Vaeth 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 Vaeth. Martin Vaeth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogrammingbreakdown → | 135 |
| 8 | 2 | |
| 9 | 15 | |
| 10 | The glucose transporter GLUT3 controls T helper 17 cell responses through glycolytic-epigenetic reprogrammingbreakdown → | 140 |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 88 | |
| 14 | 42 | |
| 15 | 167 | |
| 16 | 76 | |
| 17 | 21 | |
| 18 | 52 | |
| 19 | 50 | |
| 20 | 38 |
About Martin Vaeth
Martin Vaeth is a scholar working on Sensory Systems, Immunology and Physiology, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), Ion Channels and Receptors (15 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Sensory Systems (598 citations), Immunology (1.1k citations) and Physiology (171 citations). Martin Vaeth has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Stefan Feske, Friederike Berberich‐Siebelt, Edgar Serfling, Miriam Eckstein, Sascha Kahlfuß, Jun J. Yang, Stefan Klein-Heßling, Patrick J. Shaw, Rodrigo S. Lacruz and Lina Kozhaya. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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.