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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- Ubiquitin and proteasome pathways 4
- Ion channel regulation and function 1
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- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 2
- Co-authors
- Gustavo M. Silva (3 shared papers)Kyle W. Cunningham (4 shared papers)Linghuo Jiang (1 shared paper)Adam Kim (2 shared papers)Junjun Wang (1 shared paper)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)JAMA Oncology (1 paper)Prostate Cancer and Prostatic Diseases (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Nathan Snyder
8 papers receiving 288 citations
Nathan Snyder's Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Biology 226
- Cell Biology 48
- Oncology 56
- Aging 3
- Immunology 28
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 | 186 |
| 2 | 2022 | 23 | |
| 3 | 2018 | 23 | |
| 4 | 2017 | 20 | |
| 5 | 2019 | 17 | |
| 6 | 2019 | 16 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Nathan Snyder
Nathan Snyder is a scholar working on Molecular Biology, Cell Biology, Pathology and Forensic Medicine, Genetics and Epidemiology, having authored 11 papers that have together received 289 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (5 papers), Ubiquitin and proteasome pathways (4 papers), Genetic factors in colorectal cancer (3 papers), Cellular transport and secretion (2 papers), Pancreatic function and diabetes (1 paper), Ion channel regulation and function (1 paper), Genetic Associations and Epidemiology (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (226 citations), Cell Biology (48 citations), Oncology (56 citations), Aging (3 citations) and Immunology (28 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, Adam Kim, Junjun Wang, Timothy A. Reinhardt, Mitchell V. Palmer, Carlos Evangelista, Christopher P. Stefan and Alberto Bartesaghi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology, G3 Genes Genomes Genetics, JAMA Oncology and Prostate Cancer and Prostatic Diseases.
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.