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
- Heat shock proteins research 2
- Genomics, phytochemicals, and oxidative stress 2
- Melanoma and MAPK Pathways 2
- Biochemical and Molecular Research 2
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- Enzyme Structure and Function 9
- Co-authors
- Carla Mattos (11 shared papers)Susan Fetics (2 shared papers)Genevieve Holzapfel (2 shared papers)Bradley M. Kearney (2 shared papers)Ruth Nussinov (1 shared paper)Hugo Guterres (1 shared paper)Buyong Ma (1 shared paper)Johannes Rudolph (2 shared papers)
- Journals
- Biochemistry (5 papers)Structure (3 papers)The FASEB Journal (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesThailandIsrael
In The Last Decade
Greg Buhrman
15 papers receiving 863 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 797
- Cell Biology 119
- Materials Chemistry 226
- Computational Theory and Mathematics 64
- 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 | 197 | |
| 2 | 2015 | 179 | |
| 3 | 2011 | 127 | |
| 4 | 2007 | 96 | |
| 5 | 2005 | 83 | |
| 6 | 2010 | 71 | |
| 7 | 2003 | 35 | |
| 8 | 2012 | 28 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 8 | |
| 12 | 2011 | 6 | |
| 13 | 2022 | 2 | |
| 14 | 2005 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Greg Buhrman
Greg Buhrman is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Biochemistry and Organic Chemistry, having authored 16 papers that have together received 866 indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein Structure and Dynamics (3 papers), Heat shock proteins research (2 papers), Biochemical Acid Research Studies (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Melanoma and MAPK Pathways (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Molecular Biology (797 citations), Cell Biology (119 citations), Materials Chemistry (226 citations), Computational Theory and Mathematics (64 citations) and Toxicology (11 citations). Greg Buhrman has collaborated with scholars based in United States, Thailand and Israel. Frequent co-authors include Carla Mattos, Susan Fetics, Genevieve Holzapfel, Bradley M. Kearney, Ruth Nussinov, Hugo Guterres, Buyong Ma, Johannes Rudolph, Jungsan Sohn and Jason M. Haugh. Their work appears in journals such as Biochemistry, Structure, The FASEB Journal, Journal of Biological Chemistry and PLoS ONE.
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.