Peter Bolgar
Impact in
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- Computational Drug Discovery Methods
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- Cyclopropane Reaction Mechanisms
- Catalytic C–H Functionalization Methods
- Supramolecular Chemistry and Complexes
Papers in
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- Catalytic C–H Functionalization Methods 1
- Supramolecular Chemistry and Complexes 1
- Synthetic Organic Chemistry Methods 1
- Cyclopropane Reaction Mechanisms 1
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- Machine Learning in Materials Science 1
- Co-authors
- Alpha A. Lee (1 shared paper)Qingyi Yang (1 shared paper)Christopher R. Butler (1 shared paper)Xinjun Hou (1 shared paper)Jacquelyn L. Klug-McLeod (1 shared paper)Vishnu Sresht (1 shared paper)Christopher A. Hunter (3 shared papers)Brian M. Stoltz (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Chemical Communications (1 paper)Chemical Science (1 paper)Chemical Reviews (1 paper)Tetrahedron Letters (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Peter Bolgar
6 papers receiving 165 citations
Peers
Comparison fields: 5 of 33
- Computational Theory and Mathematics 62
- Organic Chemistry 58
- Materials Chemistry 76
- Molecular Biology 80
- Biomaterials 15
Countries citing papers authored by Peter Bolgar
This map shows the geographic impact of Peter Bolgar'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 Peter Bolgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bolgar more than expected).
Fields of papers citing papers by Peter Bolgar
This network shows the impact of papers produced by Peter Bolgar. 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 Peter Bolgar. The network helps show where Peter Bolgar may publish in the future.
Co-authors
The 15 scholars most cited alongside Peter Bolgar, 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 | 2019 | 100 | |
| 2 | 2021 | 32 | |
| 3 | 2016 | 32 | |
| 4 | 2025 | 7 | |
| 5 | 2022 | 3 | |
| 6 | Student solutions manual to accompany Atkins' physical chemistry 11th edition | 2018 | 1 |
About Peter Bolgar
Peter Bolgar is a scholar working on Organic Chemistry, Materials Chemistry, Physical and Theoretical Chemistry, Molecular Biology and Computational Theory and Mathematics, having authored 6 papers that have together received 175 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (2 papers), Catalytic C–H Functionalization Methods (1 paper), Supramolecular Chemistry and Complexes (1 paper), Synthetic Organic Chemistry Methods (1 paper), Various Chemistry Research Topics (1 paper), Machine Learning in Materials Science (1 paper), Cyclopropane Reaction Mechanisms (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Computational Theory and Mathematics (62 citations), Organic Chemistry (58 citations), Materials Chemistry (76 citations), Molecular Biology (80 citations) and Biomaterials (15 citations). Peter Bolgar has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Alpha A. Lee, Qingyi Yang, Christopher R. Butler, Xinjun Hou, Jacquelyn L. Klug-McLeod, Vishnu Sresht, Christopher A. Hunter, Brian M. Stoltz, Nicholas R. O’Connor and Pavle Trošelj. Their work appears in journals such as Journal of the American Chemical Society, Chemical Communications, Chemical Science, Chemical Reviews and Tetrahedron Letters.
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.