Nathan Snyder
Impact in
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- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- RNA modifications and cancer
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 2
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- Ubiquitin and proteasome pathways 4
- Mitochondrial Function and Pathology 1
- Protein Degradation and Inhibitors 1
- Co-authors
- Gustavo M. Silva (3 shared papers)Kyle W. Cunningham (3 shared papers)Linghuo Jiang (1 shared paper)Junjun Wang (1 shared paper)Adam Kim (2 shared papers)Timothy A. Reinhardt (1 shared paper)Mitchell V. Palmer (1 shared paper)Carlos Evangelista (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Clinical Oncology (2 papers)G3 Genes Genomes Genetics (2 papers)Cell Reports (1 paper)Cell Communication and Signaling (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Nathan Snyder
9 papers receiving 322 citations
Nathan Snyder's Hit Papers
Peers
Comparison fields: 5 of 65
- Molecular Biology 235
- Cell Biology 48
- Oncology 53
- Aging 3
- Epidemiology 42
Countries citing papers authored by Nathan Snyder
This map shows the geographic impact of Nathan Snyder'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 Nathan Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Snyder more than expected).
Fields of papers citing papers by Nathan Snyder
This network shows the impact of papers produced by Nathan Snyder. 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 Nathan Snyder. The network helps show where Nathan Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Snyder, 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 | Deubiquitinating enzymes (DUBs): Regulation, homeostasis, and oxidative stress response Hit paper breakdown → | 2021 | 217 |
| 2 | 2022 | 23 | |
| 3 | 2018 | 23 | |
| 4 | 2017 | 20 | |
| 5 | 2019 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 |
About Nathan Snyder
Nathan Snyder is a scholar working on Cell Biology, Molecular Biology, Pathology and Forensic Medicine, Epidemiology and Infectious Diseases, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Ubiquitin and proteasome pathways (4 papers), Cellular transport and secretion (2 papers), Genetic factors in colorectal cancer (2 papers), Multiple and Secondary Primary Cancers (1 paper), Genomics and Rare Diseases (1 paper), Mitochondrial Function and Pathology (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (235 citations), Cell Biology (48 citations), Oncology (53 citations), Aging (3 citations) and Epidemiology (42 citations). Nathan Snyder has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Gustavo M. Silva, Kyle W. Cunningham, Linghuo Jiang, Junjun Wang, Adam Kim, Timothy A. Reinhardt, Mitchell V. Palmer, Carlos Evangelista, Christopher P. Stefan and Jonathan Bouvette. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology, G3 Genes Genomes Genetics, Cell Reports and Cell Communication and Signaling.
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.