Frank M. LaFerla
- Physiology top 0.01%
- Molecular Biology top 0.2%
- Cellular and Molecular Neuroscience top 0.05%
- Neurology top 0.01%
- Pharmacology top 0.02%
- Co-authors
- Salvatore OddoHenry QuerfurthKim N. GreenAntonella CaccamoMasashi KitazawaLauren M. BillingsMark P. MattsonMathew Blurton‐Jones
- Topics
- Alzheimer's disease research and treatments (192 papers)Cholinesterase and Neurodegenerative Diseases (51 papers)Neuroscience and Neuropharmacology Research (47 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSpainCanada
In The Last Decade
Frank M. LaFerla
245 papers receiving 36.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Physiology 23.2k
- Molecular Biology 13.1k
- Cellular and Molecular Neuroscience 10.1k
- Neurology 8.0k
- Pharmacology 6.3k
Countries citing papers authored by Frank M. LaFerla
This map shows the geographic impact of Frank M. LaFerla'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 Frank M. LaFerla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank M. LaFerla more than expected).
Fields of papers citing papers by Frank M. LaFerla
This network shows the impact of papers produced by Frank M. LaFerla. 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 Frank M. LaFerla. The network helps show where Frank M. LaFerla may publish in the future.
Co-authorship network of co-authors of Frank M. LaFerla
This figure shows the co-authorship network connecting the top 25 collaborators of Frank M. LaFerla. A scholar is included among the top collaborators of Frank M. LaFerla 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 Frank M. LaFerla. Frank M. LaFerla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 50 | |
| 4 | 62 | |
| 5 | 22 | |
| 6 | 42 | |
| 7 | 18 | |
| 8 | 113 | |
| 9 | 71 | |
| 10 | 65 | |
| 11 | 82 | |
| 12 | 42 | |
| 13 | 62 | |
| 14 | 232 | |
| 15 | 319 | |
| 16 | 270 | |
| 17 | 405 | |
| 18 | 97 | |
| 19 | 43 | |
| 20 | 365 |
About Frank M. LaFerla
Frank M. LaFerla is a scholar working on Biological Psychiatry, Physiology and Neurology, having authored 248 papers that have together received 36.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (192 papers), Cholinesterase and Neurodegenerative Diseases (51 papers) and Neuroscience and Neuropharmacology Research (47 papers). The work is most often cited by research in Biological Psychiatry (3.4k citations), Neurology (8.0k citations) and Physiology (23.2k citations). Frank M. LaFerla has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Salvatore Oddo, Henry Querfurth, Kim N. Green, Antonella Caccamo, Masashi Kitazawa, Lauren M. Billings, Mark P. Mattson, Mathew Blurton‐Jones, Yama Akbari and James L. McGaugh. Their work appears in journals such as New England Journal of Medicine, 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.