Francesco Potì

1.6k citations
52 papers · 1.2k indexed · h-index 21
Topics
Cholesterol and Lipid Metabolism (19 papers)Sphingolipid Metabolism and Signaling (14 papers)Ovarian function and disorders (6 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
ItalyGermanyFrance

In The Last Decade

Francesco Potì

51 papers receiving 1.2k citations

Peers

Francesco Potì
Comparison fields: 5 of 107
  • Molecular Biology 577
  • Surgery 283
  • Endocrinology, Diabetes and Metabolism 170
  • Immunology 156
  • Cell Biology 144
Replace Noelia Díaz‐Morales with:
Noelia Díaz‐Morales Spain
Chiara Zerbinati Italy
Ana Jover Spain
Wanda M. Krajewska Poland
Nikita G. Nikiforov Russia
Simon W. Beaven United States
Salman Azhar United States
Brante P. Sampey United States
Alina Kuryłowicz Poland
Francesco Potì relative to Noelia Díaz‐Morales Spain Noelia Díaz‐Morales's profile →
Citations per field
00.5×1.5×2.4×
Noelia Díaz‐Morales · 1×
Citations per year

Countries citing papers authored by Francesco Potì

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Potì

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Potì

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Potì. A scholar is included among the top collaborators of Francesco Potì 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 Francesco Potì. Francesco Potì 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 2
2 0
3 5
4 6
5 17
6 21
7 201
8 12
9 10
10 10
11 4
12 20
13 14
14 57
15 35
16 85
17 11
18 24
19 21
20 39

About Francesco Potì

Francesco Potì is a scholar working on Reproductive Medicine, Toxicology and Surgery, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 papers), Sphingolipid Metabolism and Signaling (14 papers) and Ovarian function and disorders (6 papers). The work is most often cited by research in Reproductive Medicine (136 citations), Biochemistry (73 citations) and Endocrinology, Diabetes and Metabolism (170 citations). Francesco Potì has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Manuela Simoni, Ilaria Zanotti, Daniele Santi, Giorgia Spaggiari, Francesca Zimetti, Jerzy–Roch Nofer, Jerzy‐Roch Nofer, Livio Casarini, Franco Bernini and Ralph Burkhardt. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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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