Gerald M. Maggiora
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.1%
- Materials Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Spectroscopy top 1%
- Co-authors
- Mark A. JohnsonRalph E. ChristoffersenJürgen BajorathJames D. PetkeMartin VogtIan H. WilliamsDagmar StumpfeLester L. Shipman
- Topics
- Computational Drug Discovery Methods (50 papers)Spectroscopy and Quantum Chemical Studies (20 papers)Advanced Chemical Physics Studies (20 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Gerald M. Maggiora
141 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 2.9k
- Computational Theory and Mathematics 2.2k
- Materials Chemistry 1.2k
- Atomic and Molecular Physics, and Optics 870
- Spectroscopy 854
Countries citing papers authored by Gerald M. Maggiora
This map shows the geographic impact of Gerald M. Maggiora'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 Gerald M. Maggiora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald M. Maggiora more than expected).
Fields of papers citing papers by Gerald M. Maggiora
This network shows the impact of papers produced by Gerald M. Maggiora. 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 Gerald M. Maggiora. The network helps show where Gerald M. Maggiora may publish in the future.
Co-authorship network of co-authors of Gerald M. Maggiora
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald M. Maggiora. A scholar is included among the top collaborators of Gerald M. Maggiora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerald M. Maggiora. Gerald M. Maggiora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 19 | |
| 3 | 57 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 31 | |
| 7 | 96 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 26 | |
| 11 | 6 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 34 | |
| 15 | 58 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | Concepts and applications of molecular similaritybreakdown → | 947 |
| 20 | 17 |
About Gerald M. Maggiora
Gerald M. Maggiora is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Spectroscopy, having authored 143 papers that have together received 5.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (50 papers), Spectroscopy and Quantum Chemical Studies (20 papers) and Advanced Chemical Physics Studies (20 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Physical and Theoretical Chemistry (715 citations) and Spectroscopy (854 citations). Gerald M. Maggiora has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mark A. Johnson, Ralph E. Christoffersen, Jürgen Bajorath, James D. Petke, Martin Vogt, Ian H. Williams, Dagmar Stumpfe, Lester L. Shipman, Chun‐Ting Zhang and Veerabahu Shanmugasundaram. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.