Nathan Bays
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
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- Ubiquitin and proteasome pathways 2
- Peroxisome Proliferator-Activated Receptors 2
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- Endoplasmic Reticulum Stress and Disease 4
- Cellular transport and secretion 2
- Co-authors
- Randolph Y. Hampton (4 shared papers)Richard G. Gardner (2 shared papers)Claudio A.P. Joazeiro (1 shared paper)Kelley Hodgkiss-Harlow (1 shared paper)Ami Goradia (1 shared paper)Mona C. Mehdy (1 shared paper)Kanagasabapathi Sathasivan (1 shared paper)Yogesh Kumar Sharma (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)SLAS DISCOVERY (2 papers)Clinical Cancer Research (1 paper)Molecular Biology of the Cell (1 paper)Current Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Nathan Bays
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Cell Biology 819
- Epidemiology 398
- Molecular Biology 836
- Aging 18
- Cancer Research 82
Countries citing papers authored by Nathan Bays
This map shows the geographic impact of Nathan Bays'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 Bays with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Bays more than expected).
Fields of papers citing papers by Nathan Bays
This network shows the impact of papers produced by Nathan Bays. 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 Bays. The network helps show where Nathan Bays may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Bays, 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 | 2000 | 374 | |
| 2 | 2000 | 264 | |
| 3 | 2001 | 251 | |
| 4 | 1996 | 164 | |
| 5 | 2002 | 136 | |
| 6 | 2008 | 53 | |
| 7 | 2006 | 42 | |
| 8 | 2005 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2009 | 13 | |
| 11 | 2009 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2014 | 3 | |
| 14 | Kinetic analysis of the fatty acid synthesis pathway in HCT-116 colon cancer cells: role of FAS and ACC1 in maintaining tumor cell viability and proliferation | 2007 | 2 |
| 15 | 2004 | 1 |
About Nathan Bays
Nathan Bays is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Epidemiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Cancer, Lipids, and Metabolism (4 papers), Autophagy in Disease and Therapy (3 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cell Biology (819 citations), Epidemiology (398 citations), Molecular Biology (836 citations), Aging (18 citations) and Cancer Research (82 citations). Nathan Bays has collaborated with scholars based in United States. Frequent co-authors include Randolph Y. Hampton, Richard G. Gardner, Claudio A.P. Joazeiro, Kelley Hodgkiss-Harlow, Ami Goradia, Mona C. Mehdy, Kanagasabapathi Sathasivan, Yogesh Kumar Sharma, Gwendolyn Swarbrick and Christine Kim. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, SLAS DISCOVERY, Clinical Cancer Research, Molecular Biology of the Cell and Current 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.