Greg Buhrman
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Protein Structure and Dynamics 3
- Enzyme function and inhibition 2
- Melanoma and MAPK Pathways 2
- Genomics, phytochemicals, and oxidative stress 2
- Heat shock proteins research 2
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- Enzyme Structure and Function 8
- Co-authors
- Carla Mattos (11 shared papers)Susan Fetics (2 shared papers)Genevieve Holzapfel (2 shared papers)Bradley M. Kearney (2 shared papers)Buyong Ma (1 shared paper)Ruth Nussinov (1 shared paper)Hugo Guterres (1 shared paper)Johannes Rudolph (2 shared papers)
- Journals
- Biochemistry (5 papers)Structure (3 papers)Data in Brief (1 paper)Journal of Biological Chemistry (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Greg Buhrman
15 papers receiving 843 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 788
- Cell Biology 125
- Materials Chemistry 232
- Computational Theory and Mathematics 65
- Toxicology 11
Countries citing papers authored by Greg Buhrman
This map shows the geographic impact of Greg Buhrman'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 Greg Buhrman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Buhrman more than expected).
Fields of papers citing papers by Greg Buhrman
This network shows the impact of papers produced by Greg Buhrman. 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 Greg Buhrman. The network helps show where Greg Buhrman may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Buhrman, 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 | 2010 | 190 | |
| 2 | 2015 | 176 | |
| 3 | 2011 | 123 | |
| 4 | 2007 | 93 | |
| 5 | 2005 | 82 | |
| 6 | 2010 | 71 | |
| 7 | 2003 | 34 | |
| 8 | 2012 | 28 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 11 | |
| 11 | 2015 | 8 | |
| 12 | 2011 | 6 | |
| 13 | 2022 | 2 | |
| 14 | 2005 | 2 | |
| 15 | 2021 | 1 |
About Greg Buhrman
Greg Buhrman is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Biochemistry and Organic Chemistry, having authored 15 papers that have together received 846 indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Structure and Dynamics (3 papers), Enzyme function and inhibition (2 papers), Melanoma and MAPK Pathways (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Biochemical Acid Research Studies (2 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Molecular Biology (788 citations), Cell Biology (125 citations), Materials Chemistry (232 citations), Computational Theory and Mathematics (65 citations) and Toxicology (11 citations). Greg Buhrman has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Carla Mattos, Susan Fetics, Genevieve Holzapfel, Bradley M. Kearney, Buyong Ma, Ruth Nussinov, Hugo Guterres, Johannes Rudolph, Jungsan Sohn and V.S.S. Kumar. Their work appears in journals such as Biochemistry, Structure, Data in Brief, Journal of Biological Chemistry and Journal of Molecular 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.