Michele Perni

2.9k citations
29 papers · 1.6k indexed · 1 hit paper · h-index 17
Topics
Alzheimer's disease research and treatments (18 papers)Genetics, Aging, and Longevity in Model Organisms (8 papers)Computational Drug Discovery Methods (7 papers)

In The Last Decade

Michele Perni

28 papers receiving 1.6k citations

Hit Papers

Structural basis of membrane disruption and cellular toxi...20172026202020232017100200300400500

Peers

Michele Perni
Comparison fields: 5 of 99
  • Physiology 923
  • Molecular Biology 907
  • Neurology 416
  • Computational Theory and Mathematics 207
  • Cell Biology 188
Replace Keyla Perez with:
Keyla Perez Australia
Benedetta Mannini United Kingdom
Sean Chia United Kingdom
Leila M. Luheshi United Kingdom
Annett Boeddrich Germany
Mathew H. Horrocks United Kingdom
Adrien W. Schmid Switzerland
Marten Beeg Italy
Yvonne S. Eisele United States
Katharina Tepper Germany
Michele Perni relative to Keyla Perez Australia Keyla Perez's profile →
Citations per field
00.5×2.7×
Keyla Perez · 1×
Citations per year

Countries citing papers authored by Michele Perni

Since Specialization
Citations

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

Fields of papers citing papers by Michele Perni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Perni

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Perni. A scholar is included among the top collaborators of Michele Perni 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 Michele Perni. Michele Perni 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 0
2 36
3 14
4 6
5 112
6 34
7 17
8 12
9 15
10 30
11 1
12 1
13 44
14 5
15 44
16
Structural basis of membrane disruption and cellular toxicity by α-synuclein oligomersbreakdown →
520
17 18
18 1
19 185
20 67

About Michele Perni

Michele Perni is a scholar working on Aging, Biological Psychiatry and Physiology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Aging (127 citations), Physiology (923 citations) and Neurology (416 citations). Michele Perni has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Michele Vendruscolo, Christopher M. Dobson, Tuomas P. J. Knowles, Cristina Cecchi, Alfonso De Simone, Roberta Cascella, Fabrizio Chiti, Giuliana Fusco, Serene W. Chen and Johnny Habchi. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

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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