Leonard N. Boggs
- Physiology top 10%
- Molecular Biology
- Pharmacology top 10%
- Computational Theory and Mathematics top 5%
- Oncology
- Co-authors
- Patrick C. MayKimberly S. FusonDon B. McClureLisa M. ChurgayMelvyn BaezGerald L. BeckerZhixiang YangPaul A. Hyslop
- Topics
- Alzheimer's disease research and treatments (13 papers)Cholinesterase and Neurodegenerative Diseases (10 papers)Computational Drug Discovery Methods (8 papers)
- Journals
- International Journal of Molecular SciencesAnnals of the New York Academy of SciencesJournal of Neurochemistry
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Leonard N. Boggs
20 papers receiving 373 citations
Peers
Comparison fields: 5 of 59
- Physiology 277
- Molecular Biology 139
- Pharmacology 114
- Computational Theory and Mathematics 99
- Oncology 89
Countries citing papers authored by Leonard N. Boggs
This map shows the geographic impact of Leonard N. Boggs'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 Leonard N. Boggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard N. Boggs more than expected).
Fields of papers citing papers by Leonard N. Boggs
This network shows the impact of papers produced by Leonard N. Boggs. 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 Leonard N. Boggs. The network helps show where Leonard N. Boggs may publish in the future.
Co-authorship network of co-authors of Leonard N. Boggs
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard N. Boggs. A scholar is included among the top collaborators of Leonard N. Boggs 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 Leonard N. Boggs. Leonard N. Boggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 26 | |
| 14 | 33 | |
| 15 | 21 | |
| 16 | 12 | |
| 17 | 19 | |
| 18 | 92 | |
| 19 | 6 | |
| 20 | 109 |
About Leonard N. Boggs
Leonard N. Boggs is a scholar working on Pharmacology, Physiology and Computational Theory and Mathematics, having authored 20 papers that have together received 382 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Cholinesterase and Neurodegenerative Diseases (10 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Physiology (277 citations), Pharmacology (114 citations) and Computational Theory and Mathematics (99 citations). Leonard N. Boggs has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Patrick C. May, Kimberly S. Fuson, Don B. McClure, Lisa M. Churgay, Melvyn Baez, Gerald L. Becker, Zhixiang Yang, Paul A. Hyslop, Bruce D. Gitter and Weiying Li. Their work appears in journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences and Journal of Neurochemistry.
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.