Frank M. LaFerla

55.8k citations
248 papers · 36.7k indexed · 9 hit papers · h-index 97
Topics
Alzheimer's disease research and treatments (192 papers)Cholinesterase and Neurodegenerative Diseases (51 papers)Neuroscience and Neuropharmacology Research (47 papers)
Partner nations
United StatesSpainCanada

In The Last Decade

Frank M. LaFerla

245 papers receiving 36.2k citations

Hit Papers

Alzheimer's Disease20022026201020182010200320072005200210002.0k3.0k

Peers

Frank M. LaFerla
Comparison fields: 5 of 172
  • Physiology 23.2k
  • Molecular Biology 13.1k
  • Cellular and Molecular Neuroscience 10.1k
  • Neurology 8.0k
  • Pharmacology 6.3k
Replace Lennart Mucke with:
Lennart Mucke United States
Stuart A. Lipton United States
Isidró Ferrer Spain
Sangram S. Sisodia United States
Takaomi C. Saido Japan
Patrick L. McGeer Canada
Salvatore Oddo United States
Bart De Strooper Belgium
Allan I. Levey United States
Peter Riederer Germany
Frank M. LaFerla relative to Lennart Mucke United States Lennart Mucke's profile →
Citations per field
00.5×1.5×
Lennart Mucke · 1×
Citations per year

Countries citing papers authored by Frank M. LaFerla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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