Malte Gersch
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- RNA and protein synthesis mechanisms
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 17
- Glycosylation and Glycoproteins Research 4
- Oncology 14
- Peptidase Inhibition and Analysis 11
- Cancer-related Molecular Pathways 3
- Co-authors
- Stephan A. Sieber (14 shared papers)Johannes Kreuzer (1 shared paper)David Komander (4 shared papers)Christina Gladkova (2 shared papers)Martin A. Michel (2 shared papers)M. Groll (6 shared papers)Stefan M.V. Freund (3 shared papers)Sarah Maslen (2 shared papers)
- Journals
- Angewandte Chemie International Edition (6 papers)Nature Communications (3 papers)Nature Structural & Molecular Biology (3 papers)ChemPhysChem (2 papers)Nature Chemical Biology (2 papers)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Malte Gersch
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.2k
- Oncology 352
- Epidemiology 324
- Organic Chemistry 291
- Molecular Medicine 44
Countries citing papers authored by Malte Gersch
This map shows the geographic impact of Malte Gersch'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 Malte Gersch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte Gersch more than expected).
Fields of papers citing papers by Malte Gersch
This network shows the impact of papers produced by Malte Gersch. 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 Malte Gersch. The network helps show where Malte Gersch may publish in the future.
Co-authors
The 25 scholars most cited alongside Malte Gersch, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 251 | |
| 2 | 2014 | 246 | |
| 3 | 2017 | 176 | |
| 4 | 2016 | 121 | |
| 5 | 2015 | 110 | |
| 6 | 2017 | 96 | |
| 7 | 2014 | 83 | |
| 8 | 2013 | 58 | |
| 9 | 2012 | 57 | |
| 10 | 2019 | 56 | |
| 11 | 2011 | 53 | |
| 12 | 2013 | 50 | |
| 13 | 2018 | 49 | |
| 14 | 2013 | 46 | |
| 15 | 2015 | 34 | |
| 16 | 2022 | 28 | |
| 17 | 2017 | 22 | |
| 18 | 2014 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2024 | 18 |
About Malte Gersch
Malte Gersch is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Epidemiology and Cell Biology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (17 papers), Peptidase Inhibition and Analysis (11 papers), Click Chemistry and Applications (4 papers), Glycosylation and Glycoproteins Research (4 papers), Autophagy in Disease and Therapy (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Oncology (352 citations), Epidemiology (324 citations), Organic Chemistry (291 citations) and Molecular Medicine (44 citations). Malte Gersch has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Stephan A. Sieber, Johannes Kreuzer, David Komander, Christina Gladkova, Martin A. Michel, M. Groll, Stefan M.V. Freund, Sarah Maslen, Jane L. Wagstaff and Alexander F. Schubert. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications, Nature Structural & Molecular Biology, ChemPhysChem and Nature Chemical Biology.
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.