Mark Hochstrasser
- Cell Biology top 0.05%
- Endoplasmic Reticulum Stress and Disease 58
- Molecular Biology top 0.1%
- Ubiquitin and proteasome pathways 135
- Glycosylation and Glycoproteins Research 26
- Fungal and yeast genetics research 21
- Genomics and Chromatin Dynamics 13
- Oncology top 0.5%
- Peptidase Inhibition and Analysis 32
- Aging top 1%
- Parasitology top 0.5%
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- Autophagy in Disease and Therapy 29
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- Genetics and Neurodevelopmental Disorders 14
- Co-authors
- Alexander Y. AmerikShyr‐Jiann LiTommer RavidRachael FelberbaumOliver KerscherRobert J. TomkoPing ChenJeffrey D. Laney
- Journals
- Journal of Biological Chemistry (14 papers)Cell (12 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Mark Hochstrasser
163 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cell Biology 5.7k
- Molecular Biology 17.7k
- Oncology 4.7k
- Aging 206
- Parasitology 643
Countries citing papers authored by Mark Hochstrasser
This map shows the geographic impact of Mark Hochstrasser'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 Mark Hochstrasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hochstrasser more than expected).
Fields of papers citing papers by Mark Hochstrasser
This network shows the impact of papers produced by Mark Hochstrasser. 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 Mark Hochstrasser. The network helps show where Mark Hochstrasser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Hochstrasser, 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 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 91 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 15 | |
| 12 | 2010 | 69 | |
| 13 | 2007 | 6 | |
| 14 | 2005 | 15 | |
| 15 | 2004 | 77 | |
| 16 | Mechanism and function of deubiquitinating enzymesbreakdown → | 2004 | 788 |
| 17 | 2002 | 16 | |
| 18 | 2001 | 236 | |
| 19 | 1999 | 385 | |
| 20 | 1999 | 234 |
About Mark Hochstrasser
Mark Hochstrasser is a scholar working on Cell Biology, Molecular Biology, Oncology, Horticulture and Epidemiology, having authored 166 papers that have together received 20.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (135 papers), Endoplasmic Reticulum Stress and Disease (58 papers), Peptidase Inhibition and Analysis (32 papers), Autophagy in Disease and Therapy (29 papers), Glycosylation and Glycoproteins Research (26 papers), Fungal and yeast genetics research (21 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Genomics and Chromatin Dynamics (13 papers). The work is most often cited by research in Cell Biology (5.7k citations), Molecular Biology (17.7k citations), Oncology (4.7k citations), Aging (206 citations) and Parasitology (643 citations). Mark Hochstrasser has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Alexander Y. Amerik, Shyr‐Jiann Li, Tommer Ravid, Rachael Felberbaum, Oliver Kerscher, Robert J. Tomko, Ping Chen, Jeffrey D. Laney, Feroz R. Papa and Christopher M. Hickey. Their work appears in journals such as Journal of Biological Chemistry, Cell, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell and The Journal of Cell 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.