Thomas M. Wilkie
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 28
- Receptor Mechanisms and Signaling 17
- PI3K/AKT/mTOR signaling in cancer 5
- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 5
- Aging top 2%
- Cell Biology top 2%
- Immunology and Allergy top 5%
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- Pancreatic function and diabetes 11
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- Animal Genetics and Reproduction 7
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- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Elliott M. RossDavid M. BermanAlfred G. GilmanRichard D. PalmiterM StrathmannMelvin I. SimonSerguei PopovShmuel Muallem
- Journals
- Cell (2 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (11 papers)
- Partner nations
- United StatesGermanyIran
In The Last Decade
Thomas M. Wilkie
65 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 4.3k
- Cellular and Molecular Neuroscience 1.0k
- Aging 91
- Cell Biology 710
- Immunology and Allergy 201
Countries citing papers authored by Thomas M. Wilkie
This map shows the geographic impact of Thomas M. Wilkie'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 Thomas M. Wilkie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Wilkie more than expected).
Fields of papers citing papers by Thomas M. Wilkie
This network shows the impact of papers produced by Thomas M. Wilkie. 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 Thomas M. Wilkie. The network helps show where Thomas M. Wilkie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas M. Wilkie, 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 | 2023 | 0 | |
| 2 | 2021 | 22 | |
| 3 | 2020 | 3 | |
| 4 | 2018 | 16 | |
| 5 | 2017 | 6 | |
| 6 | 2015 | 11 | |
| 7 | 2012 | 2 | |
| 8 | 2011 | 48 | |
| 9 | 2004 | 78 | |
| 10 | 2002 | 70 | |
| 11 | 2001 | 70 | |
| 12 | 2001 | 53 | |
| 13 | 2000 | 15 | |
| 14 | 2000 | 42 | |
| 15 | 1999 | 55 | |
| 16 | 1999 | 4 | |
| 17 | 1998 | 40 | |
| 18 | GAIP and RGS4 Are GTPase-Activating Proteins for the Gi Subfamily of G Protein α Subunitsbreakdown → | 1996 | 658 |
| 19 | 1992 | 210 | |
| 20 | 1987 | 35 |
About Thomas M. Wilkie
Thomas M. Wilkie is a scholar working on Aging, Molecular Biology and Immunology and Allergy, having authored 67 papers that have together received 5.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (28 papers), Receptor Mechanisms and Signaling (17 papers), Pancreatic function and diabetes (11 papers), Animal Genetics and Reproduction (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Cellular and Molecular Neuroscience (1.0k citations) and Aging (91 citations). Thomas M. Wilkie has collaborated with scholars based in United States, Germany and Iran. Frequent co-authors include Elliott M. Ross, David M. Berman, Alfred G. Gilman, Richard D. Palmiter, M Strathmann, Melvin I. Simon, Serguei Popov, Shmuel Muallem, Kan Yu and Stefan Offermanns. 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.