Martin Kampmann
Impact in
- Aging top 0.5%
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Single-cell and spatial transcriptomics
Papers in
- Co-authors
- Jonathan S. WeissmanLuke A. GilbertMax A. HorlbeckYuwen ChenBritt AdamsonJacqueline E. VillaltaBarbara PanningMichael C. Bassik
- Journals
- eLife (6 papers)Nature Neuroscience (5 papers)Cell (5 papers)Proceedings of the National Academy of Sciences (5 papers)Molecular Cell (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Martin Kampmann
91 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Aging 409
- Molecular Biology 6.6k
- Business and International Management 177
- Neurology 657
- Cell Biology 926
Countries citing papers authored by Martin Kampmann
This map shows the geographic impact of Martin Kampmann'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 Kampmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kampmann more than expected).
Fields of papers citing papers by Martin Kampmann
This network shows the impact of papers produced by Martin Kampmann. 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 Kampmann. The network helps show where Martin Kampmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Kampmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 38 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 54 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 123 | |
| 9 | 2021 | 26 | |
| 10 | Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis Hit paper breakdown → | 2021 | 229 |
| 11 | 2020 | 49 | |
| 12 | LRP1 is a master regulator of tau uptake and spread Hit paper breakdown → | 2020 | 370 |
| 13 | 2020 | 55 | |
| 14 | Mitochondrial stress is relayed to the cytosol by an OMA1–DELE1–HRI pathway Hit paper breakdown → | 2020 | 408 |
| 15 | 2020 | 22 | |
| 16 | 2020 | 24 | |
| 17 | 2020 | 13 | |
| 18 | Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation Hit paper breakdown → | 2016 | 512 |
| 19 | 2015 | 101 | |
| 20 | 2015 | 187 |
About Martin Kampmann
Martin Kampmann is a scholar working on Neurology, Aging, Structural Biology, Biological Psychiatry and Molecular Biology, having authored 96 papers that have together received 8.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (31 papers), Neuroinflammation and Neurodegeneration Mechanisms (15 papers), RNA and protein synthesis mechanisms (13 papers), Alzheimer's disease research and treatments (11 papers), RNA Research and Splicing (10 papers), Single-cell and spatial transcriptomics (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). The work is most often cited by research in Aging (409 citations), Molecular Biology (6.6k citations), Business and International Management (177 citations), Neurology (657 citations) and Cell Biology (926 citations). Martin Kampmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jonathan S. Weissman, Luke A. Gilbert, Max A. Horlbeck, Yuwen Chen, Britt Adamson, Jacqueline E. Villalta, Barbara Panning, Michael C. Bassik, Evan H. Whitehead and Hidde L. Ploegh. Their work appears in journals such as eLife, Nature Neuroscience, Cell, Proceedings of the National Academy of Sciences and Molecular 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.