Jeffrey P. MacKeigan
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 6
- Biochemistry top 0.5%
- Molecular Biology top 1%
- Mitochondrial Function and Pathology 8
- PI3K/AKT/mTOR signaling in cancer 7
- Protein Tyrosine Phosphatases 6
- Melanoma and MAPK Pathways 5
- Protein Kinase Regulation and GTPase Signaling 5
- Ubiquitin and proteasome pathways 5
- Cell Biology top 2%
- Physiology top 1%
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- Autophagy in Disease and Therapy 11
- Co-authors
- Leon O. MurphyJohn BlenisPeter M. FinanEllen TriantafellowJenny P.‐Y. TingJessica L. YeciesPichai RamanClary B. Clish
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Jeffrey P. MacKeigan
59 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.4k
- Biochemistry 505
- Molecular Biology 4.4k
- Cell Biology 732
- Physiology 203
Countries citing papers authored by Jeffrey P. MacKeigan
This map shows the geographic impact of Jeffrey P. MacKeigan'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 Jeffrey P. MacKeigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey P. MacKeigan more than expected).
Fields of papers citing papers by Jeffrey P. MacKeigan
This network shows the impact of papers produced by Jeffrey P. MacKeigan. 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 Jeffrey P. MacKeigan. The network helps show where Jeffrey P. MacKeigan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey P. MacKeigan, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2018 | 10 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 129 | |
| 8 | 2014 | 22 | |
| 9 | 2014 | 89 | |
| 10 | 2013 | 26 | |
| 11 | 2012 | 96 | |
| 12 | 2012 | 16 | |
| 13 | 2012 | 30 | |
| 14 | 2011 | 31 | |
| 15 | Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1 | 2010 | 2 |
| 16 | Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1breakdown → | 2010 | 1582 |
| 17 | 2010 | 79 | |
| 18 | 2005 | 451 | |
| 19 | 2003 | 269 | |
| 20 | 2000 | 206 |
About Jeffrey P. MacKeigan
Jeffrey P. MacKeigan is a scholar working on Physiology, Cell Biology and Cancer Research, having authored 62 papers that have together received 6.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Mitochondrial Function and Pathology (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Protein Tyrosine Phosphatases (6 papers), Melanoma and MAPK Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cancer Research (1.4k citations), Biochemistry (505 citations) and Molecular Biology (4.4k citations). Jeffrey P. MacKeigan has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Leon O. Murphy, John Blenis, Peter M. Finan, Ellen Triantafellow, Jenny P.‐Y. Ting, Jessica L. Yecies, Pichai Raman, Clary B. Clish, Amanda L. Souza and Suchithra Menon. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.