Patrick T. Gunning
Impact in
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions
- Toxicology top 1%
Papers in
- Oncology 68
- Cytokine Signaling Pathways and Interactions 48
- Peptidase Inhibition and Analysis 11
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- Protein Degradation and Inhibitors 14
- Histone Deacetylase Inhibitors Research 13
- PI3K/AKT/mTOR signaling in cancer 13
- Protein Tyrosine Phosphatases 11
- Ubiquitin and proteasome pathways 10
- Co-authors
- Steven Fletcher (21 shared papers)James Turkson (22 shared papers)Brent D. G. Page (21 shared papers)Richard Moriggl (16 shared papers)Joel A. Drewry (8 shared papers)Peibin Yue (12 shared papers)Xiaolei Zhang (9 shared papers)Stefan N. Constantinescu (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)Blood (6 papers)ACS Medicinal Chemistry Letters (5 papers)The Analyst (4 papers)Cancers (4 papers)
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Patrick T. Gunning
123 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 117
- Oncology 1.9k
- Toxicology 138
- Pathology and Forensic Medicine 482
- Molecular Biology 1.9k
- Immunology 546
Countries citing papers authored by Patrick T. Gunning
This map shows the geographic impact of Patrick T. Gunning'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 T. Gunning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T. Gunning more than expected).
Fields of papers citing papers by Patrick T. Gunning
This network shows the impact of papers produced by Patrick T. Gunning. 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 T. Gunning. The network helps show where Patrick T. Gunning may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick T. Gunning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 288 | |
| 2 | 2020 | 232 | |
| 3 | 2018 | 184 | |
| 4 | 2007 | 151 | |
| 5 | 2010 | 148 | |
| 6 | 2010 | 134 | |
| 7 | 2016 | 128 | |
| 8 | 2013 | 99 | |
| 9 | 2013 | 96 | |
| 10 | 2010 | 93 | |
| 11 | 2023 | 91 | |
| 12 | 2008 | 90 | |
| 13 | 2011 | 86 | |
| 14 | 2009 | 81 | |
| 15 | 2009 | 70 | |
| 16 | 2019 | 66 | |
| 17 | 2022 | 66 | |
| 18 | 2010 | 57 | |
| 19 | 2014 | 55 | |
| 20 | 2014 | 55 |
About Patrick T. Gunning
Patrick T. Gunning is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Genetics and Spectroscopy, having authored 128 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (48 papers), Protein Degradation and Inhibitors (14 papers), Histone Deacetylase Inhibitors Research (13 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), Protein Tyrosine Phosphatases (11 papers), Peptidase Inhibition and Analysis (11 papers) and Ubiquitin and proteasome pathways (10 papers). The work is most often cited by research in Oncology (1.9k citations), Toxicology (138 citations), Pathology and Forensic Medicine (482 citations), Molecular Biology (1.9k citations) and Immunology (546 citations). Patrick T. Gunning has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Steven Fletcher, James Turkson, Brent D. G. Page, Richard Moriggl, Joel A. Drewry, Peibin Yue, Xiaolei Zhang, Stefan N. Constantinescu, Wei Zhao and Vijay Shahani. Their work appears in journals such as Journal of Medicinal Chemistry, Blood, ACS Medicinal Chemistry Letters, The Analyst and Cancers.
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.