Alfredo Lorenzo

5.4k citations
35 papers · 4.6k indexed · 3 hit papers · h-index 22
Topics
Alzheimer's disease research and treatments (19 papers)Prion Diseases and Protein Misfolding (10 papers)Neuroscience and Neuropharmacology Research (9 papers)

In The Last Decade

Alfredo Lorenzo

34 papers receiving 4.5k citations

Hit Papers

Beta-amyloid neurotoxicity requires fibril formation and ...19942026200420151994199419952505007501000

Peers

Alfredo Lorenzo
Comparison fields: 5 of 110
  • Physiology 3.1k
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 874
  • Pharmacology 776
  • Neurology 582
Replace Irene H. Cheng with:
Irene H. Cheng United States
Shu‐Hui Yen United States
Takami Tomiyama Japan
Jorge Busciglio United States
Andréa C. LeBlanc Canada
Corrinne M. Peterhoff United States
Maria Ankarcrona Sweden
Stephen D. Schmidt United States
Anne M. Cataldo United States
Mark P. Mattson United States
Alfredo Lorenzo relative to Irene H. Cheng United States Irene H. Cheng's profile →
Citations per field
00.5×1.5×
Irene H. Cheng · 1×
Citations per year

Countries citing papers authored by Alfredo Lorenzo

Since Specialization
Citations

This map shows the geographic impact of Alfredo Lorenzo'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 Alfredo Lorenzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Lorenzo more than expected).

Fields of papers citing papers by Alfredo Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfredo Lorenzo. 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 Alfredo Lorenzo. The network helps show where Alfredo Lorenzo may publish in the future.

Co-authorship network of co-authors of Alfredo Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Lorenzo. A scholar is included among the top collaborators of Alfredo Lorenzo 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 Alfredo Lorenzo. Alfredo Lorenzo 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 10
2 6
3 14
4 10
5 10
6 34
7 75
8 8
9 16
10 13
11 33
12 63
13 21
14 155
15 441
16 135
17 202
18
β-Amyloid fibrils induce tau phosphorylation and loss of microtubule bindingbreakdown →
508
19 79
20 85

About Alfredo Lorenzo

Alfredo Lorenzo is a scholar working on Behavioral Neuroscience, Neurology and Physiology, having authored 35 papers that have together received 4.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (19 papers), Prion Diseases and Protein Misfolding (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Physiology (3.1k citations), Neurology (582 citations) and Biological Psychiatry (147 citations). Alfredo Lorenzo has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Bruce A. Yankner, Jorge Busciglio, Bronwyn L. Razzaboni, Gordon C. Weir, John Yeh, Menglan Yuan, Chuang-Kuo Wu, Daniel Saroff, Alfredo Cáceres and Bin Shi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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