Martin Graef
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
- Epidemiology 15
- Autophagy in Disease and Therapy 15
- Cell Biology 12
- Endoplasmic Reticulum Stress and Disease 12
- Co-authors
- Jodi Nunnari (5 shared papers)Mohan Babu (1 shared paper)Christopher I. Graham (1 shared paper)Jonathan R. Friedman (1 shared paper)Ruben Ghillebert (4 shared papers)Susanne Brodesser (1 shared paper)Patrick Giavalisco (1 shared paper)Laura L. Lackner (1 shared paper)
- Journals
- The Journal of Cell Biology (4 papers)Autophagy (3 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Biology of the Cell (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Graef
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 534
- Biochemistry 217
- Epidemiology 772
- Aging 44
- Physiology 113
Countries citing papers authored by Martin Graef
This map shows the geographic impact of Martin Graef'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 Graef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Graef more than expected).
Fields of papers citing papers by Martin Graef
This network shows the impact of papers produced by Martin Graef. 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 Graef. The network helps show where Martin Graef may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Graef, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 294 | |
| 2 | 2020 | 193 | |
| 3 | 2019 | 154 | |
| 4 | 2013 | 154 | |
| 5 | 2011 | 151 | |
| 6 | 2016 | 146 | |
| 7 | 2019 | 91 | |
| 8 | 2019 | 58 | |
| 9 | 2018 | 55 | |
| 10 | 2007 | 54 | |
| 11 | 2018 | 45 | |
| 12 | 2014 | 43 | |
| 13 | 2023 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2006 | 22 | |
| 16 | 2011 | 19 | |
| 17 | 2016 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2024 | 7 | |
| 20 | 2020 | 6 |
About Martin Graef
Martin Graef is a scholar working on Epidemiology, Cell Biology, Molecular Biology, Biochemistry and Physiology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (15 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Lipid metabolism and biosynthesis (6 papers), Mitochondrial Function and Pathology (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Lysosomal Storage Disorders Research (2 papers), RNA modifications and cancer (2 papers) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Cell Biology (534 citations), Biochemistry (217 citations), Epidemiology (772 citations), Aging (44 citations) and Physiology (113 citations). Martin Graef has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jodi Nunnari, Mohan Babu, Christopher I. Graham, Jonathan R. Friedman, Ruben Ghillebert, Susanne Brodesser, Patrick Giavalisco, Laura L. Lackner, Andrew Murley and Angelina S. Gross. Their work appears in journals such as The Journal of Cell Biology, Autophagy, Cell, Proceedings of the National Academy of Sciences and Molecular Biology of the 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.