Mark A. Nagy
Impact in
- Environmental Chemistry top 2%
- Chemistry and Chemical Engineering
- Organic Chemistry top 5%
- Chemical Synthesis and Reactions
- Catalytic C–H Functionalization Methods
Papers in
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- Photochemistry and Electron Transfer Studies 4
-
- CO2 Reduction Techniques and Catalysts 4
- Co-authors
- Thomas L. Fevig (1 shared paper)Juan Colberg (1 shared paper)Sandra M. Jennings (1 shared paper)Craig J. Knight (1 shared paper)H. Peter Kleine (1 shared paper)Mark H. Stefaniak (1 shared paper)Peter J. Dunn (1 shared paper)Timothy A. Johnson (1 shared paper)
- Journals
- Journal of the American Chemical Society (4 papers)Journal of Medicinal Chemistry (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Green Chemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Mark A. Nagy
8 papers receiving 1.2k citations
Mark A. Nagy's Hit Papers
Peers
Comparison fields: 5 of 95
- Environmental Chemistry 346
- Organic Chemistry 529
- Process Chemistry and Technology 44
- Physical and Theoretical Chemistry 133
- Catalysis 85
Countries citing papers authored by Mark A. Nagy
This map shows the geographic impact of Mark A. Nagy'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 Mark A. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Nagy more than expected).
Fields of papers citing papers by Mark A. Nagy
This network shows the impact of papers produced by Mark A. Nagy. 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 Mark A. Nagy. The network helps show where Mark A. Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Nagy, 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 | Green chemistry tools to influence a medicinal chemistry and research chemistry based organisation Hit paper breakdown → | 2007 | 952 |
| 2 | 2021 | 107 | |
| 3 | 1998 | 80 | |
| 4 | 2000 | 29 | |
| 5 | 1997 | 21 | |
| 6 | 1998 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2002 | 15 |
About Mark A. Nagy
Mark A. Nagy is a scholar working on Physical and Theoretical Chemistry, Renewable Energy, Sustainability and the Environment, Molecular Biology, Electrochemistry and Pathology and Forensic Medicine, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (4 papers), Photochemistry and Electron Transfer Studies (4 papers), Electrochemical Analysis and Applications (3 papers), Cancer Mechanisms and Therapy (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Degradation and Inhibitors (1 paper), Melanoma and MAPK Pathways (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Environmental Chemistry (346 citations), Organic Chemistry (529 citations), Process Chemistry and Technology (44 citations), Physical and Theoretical Chemistry (133 citations) and Catalysis (85 citations). Mark A. Nagy has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas L. Fevig, Juan Colberg, Sandra M. Jennings, Craig J. Knight, H. Peter Kleine, Mark H. Stefaniak, Peter J. Dunn, Timothy A. Johnson, David A. Perry and Stephen F. Nelsen. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Green 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.