Peter Bolgar
Impact in
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- Computational Drug Discovery Methods
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- Catalytic C–H Functionalization Methods
- Cyclopropane Reaction Mechanisms
- Supramolecular Chemistry and Complexes
Papers in
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- Synthetic Organic Chemistry Methods 1
- Click Chemistry and Applications 1
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- Chemical Synthesis and Analysis 2
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Jacquelyn Klug‐McLeod (1 shared paper)Christopher R. Butler (1 shared paper)Vishnu Sresht (1 shared paper)Qingyi Yang (1 shared paper)Alpha A. Lee (2 shared papers)Xinjun Hou (1 shared paper)Nicholas R. O’Connor (1 shared paper)Brian M. Stoltz (1 shared paper)
- Journals
- Journal of the American Chemical Society (1 paper)Chemical Science (1 paper)Chemical Communications (1 paper)Chemical Reviews (1 paper)Tetrahedron Letters (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Peter Bolgar
7 papers receiving 154 citations
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 59
- Organic Chemistry 56
- Materials Chemistry 70
- Molecular Biology 76
- Biomaterials 13
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 17 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 | 89 | |
| 2 | 2016 | 32 | |
| 3 | 2021 | 27 | |
| 4 | 2025 | 5 | |
| 5 | 2022 | 3 | |
| 6 | 2018 | 2 | |
| 7 | Student solutions manual to accompany Atkins' physical chemistry 11th edition | 2018 | 1 |
About Peter Bolgar
Peter Bolgar is a scholar working on Organic Chemistry, Molecular Biology, Materials Chemistry, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 7 papers that have together received 159 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Machine Learning in Materials Science (2 papers), Chemical Synthesis and Analysis (2 papers), Synthetic Organic Chemistry Methods (1 paper), Luminescence and Fluorescent Materials (1 paper), Various Chemistry Research Topics (1 paper), Click Chemistry and Applications (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (59 citations), Organic Chemistry (56 citations), Materials Chemistry (70 citations), Molecular Biology (76 citations) and Biomaterials (13 citations). Peter Bolgar has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Jacquelyn Klug‐McLeod, Christopher R. Butler, Vishnu Sresht, Qingyi Yang, Alpha A. Lee, Xinjun Hou, Nicholas R. O’Connor, Brian M. Stoltz, Christopher A. Hunter and Pablo Ballester. Their work appears in journals such as Journal of the American Chemical Society, Chemical Science, Chemical Communications, 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.