Lorena Perrone

1.9k total citations
41 papers, 1.5k citations indexed

About

Lorena Perrone is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Lorena Perrone has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Clinical Biochemistry. Recurrent topics in Lorena Perrone's work include Alzheimer's disease research and treatments (11 papers), Advanced Glycation End Products research (11 papers) and S100 Proteins and Annexins (6 papers). Lorena Perrone is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Advanced Glycation End Products research (11 papers) and S100 Proteins and Annexins (6 papers). Lorena Perrone collaborates with scholars based in Italy, France and United States. Lorena Perrone's co-authors include Lalit P. Singh, Takhellambam S. Devi, Tetsuya Terasaki, Mariarosa Anna Beatrice Melone, Ken‐ichi Hosoya, Oualid Sbai, William B. Grant, Kelli A. Sullivan, Carey Backus and Ann Marie Sastry and has published in prestigious journals such as Journal of Biological Chemistry, Development and Biochemical Journal.

In The Last Decade

Lorena Perrone

41 papers receiving 1.5k citations

Peers

Lorena Perrone
Comparison fields: 5 of 114
  • Molecular Biology 742
  • Physiology 455
  • Clinical Biochemistry 317
  • Neurology 146
  • Neurology 145
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Valeriy V. Lyzogubov United States
Subir Roy Chowdhury Canada
Chuck T. Chen Canada
Eirini Lionaki Greece
Shunsuke Kubota Japan
Bong Sook Jhun United States
Domenico De Rasmo Italy
Isabella Irrcher Canada
Charles W. Heilig United States
Alexander Akhmedov Switzerland
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Citations per field, relative to Lorena Perrone
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Citations per year, relative to Lorena Perrone
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Countries citing papers authored by Lorena Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorena Perrone

This figure shows the co-authorship network connecting the top 25 collaborators of Lorena Perrone. A scholar is included among the top collaborators of Lorena Perrone 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 Lorena Perrone. Lorena Perrone 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
# Work Indexed citations
1 5
2 17
3 3
4 39
5 41
6 5
7 8
8 33
9 32
10 81
11 212
12
Mycoestrogen pollution of Italian baby foods
1
13 55
14 203
15 53
16 13
17 8
18 50
19 38
20 8

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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