John J. LaFrancois
- Physiology top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Surgery top 5%
- Neurology top 1%
- Co-authors
- Karen DuffBrian MalesterLorenzo M. RefoloMiguel A. PappollaG S TintVicki OlmKate GaynorYasuji Matsuoka
- Topics
- Neuroscience and Neuropharmacology Research (16 papers)Alzheimer's disease research and treatments (15 papers)Neurogenesis and neuroplasticity mechanisms (8 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
John J. LaFrancois
33 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Physiology 2.6k
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 1.4k
- Surgery 638
- Neurology 608
Countries citing papers authored by John J. LaFrancois
This map shows the geographic impact of John J. LaFrancois'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 John J. LaFrancois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. LaFrancois more than expected).
Fields of papers citing papers by John J. LaFrancois
This network shows the impact of papers produced by John J. LaFrancois. 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 John J. LaFrancois. The network helps show where John J. LaFrancois may publish in the future.
Co-authorship network of co-authors of John J. LaFrancois
This figure shows the co-authorship network connecting the top 25 collaborators of John J. LaFrancois. A scholar is included among the top collaborators of John J. LaFrancois 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 John J. LaFrancois. John J. LaFrancois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 34 | |
| 7 | 66 | |
| 8 | 98 | |
| 9 | 28 | |
| 10 | 66 | |
| 11 | 242 | |
| 12 | 150 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 405 | |
| 16 | 101 | |
| 17 | 251 | |
| 18 | 441 | |
| 19 | 143 | |
| 20 | Hypercholesterolemia Accelerates the Alzheimer's Amyloid Pathology in a Transgenic Mouse Modelbreakdown → | 825 |
About John J. LaFrancois
John J. LaFrancois is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 36 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Alzheimer's disease research and treatments (15 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). The work is most often cited by research in Physiology (2.6k citations), Developmental Neuroscience (311 citations) and Cellular and Molecular Neuroscience (1.4k citations). John J. LaFrancois has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Karen Duff, Brian Malester, Lorenzo M. Refolo, Miguel A. Pappolla, G S Tint, Vicki Olm, Kate Gaynor, Yasuji Matsuoka, Kumar Sambamurti and Tara Bryant‐Thomas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Neuron.
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.