Patrick Jaynes
Impact in
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- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
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- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- TGF-β signaling in diseases
Papers in
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- Ubiquitin and proteasome pathways 5
- TGF-β signaling in diseases 2
- Cancer-related gene regulation 2
- DNA Repair Mechanisms 1
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- Cancer, Hypoxia, and Metabolism 2
- NF-κB Signaling Pathways 1
- Co-authors
- Pieter J.A. Eichhorn (6 shared papers)Prasanna Vasudevan Iyengar (5 shared papers)John Lalith Charles Richard (2 shared papers)Dilraj Lama (2 shared papers)Chandra Verma (2 shared papers)Joan Seoane (1 shared paper)Yoon Pin Lim (1 shared paper)Laura Rodón (1 shared paper)
- Journals
- Blood (2 papers)Scientific Reports (2 papers)Clinical Chemistry (1 paper)Science Advances (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- SingaporeAustraliaNetherlands
In The Last Decade
Patrick Jaynes
11 papers receiving 277 citations
Peers
Comparison fields: 5 of 44
- Oncology 88
- Molecular Biology 229
- Cancer Research 38
- Aging 2
- Hepatology 8
Countries citing papers authored by Patrick Jaynes
This map shows the geographic impact of Patrick Jaynes'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 Patrick Jaynes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Jaynes more than expected).
Fields of papers citing papers by Patrick Jaynes
This network shows the impact of papers produced by Patrick Jaynes. 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 Patrick Jaynes. The network helps show where Patrick Jaynes may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Jaynes, 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 | 2019 | 48 | |
| 2 | 2015 | 45 | |
| 3 | 2018 | 44 | |
| 4 | 2019 | 44 | |
| 5 | 2017 | 44 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 1981 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Patrick Jaynes
Patrick Jaynes is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), TGF-β signaling in diseases (2 papers), Cancer-related gene regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Mechanisms and Therapy (1 paper), DNA Repair Mechanisms (1 paper), NF-κB Signaling Pathways (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Oncology (88 citations), Molecular Biology (229 citations), Cancer Research (38 citations), Aging (2 citations) and Hepatology (8 citations). Patrick Jaynes has collaborated with scholars based in Singapore, Australia and Netherlands. Frequent co-authors include Pieter J.A. Eichhorn, Prasanna Vasudevan Iyengar, John Lalith Charles Richard, Dilraj Lama, Chandra Verma, Joan Seoane, Yoon Pin Lim, Laura Rodón, Kai P. Law and Tuan Zea Tan. Their work appears in journals such as Blood, Scientific Reports, Clinical Chemistry, Science Advances and The Journal of Experimental Medicine.
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.