Francesco Cecconi

50.5k total citations · 7 hit papers
176 papers, 17.3k citations indexed

About

Francesco Cecconi is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Francesco Cecconi has authored 176 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Molecular Biology, 74 papers in Epidemiology and 26 papers in Cell Biology. Recurrent topics in Francesco Cecconi's work include Autophagy in Disease and Therapy (71 papers), Cell death mechanisms and regulation (40 papers) and Mitochondrial Function and Pathology (20 papers). Francesco Cecconi is often cited by papers focused on Autophagy in Disease and Therapy (71 papers), Cell death mechanisms and regulation (40 papers) and Mitochondrial Function and Pathology (20 papers). Francesco Cecconi collaborates with scholars based in Italy, Denmark and Germany. Francesco Cecconi's co-authors include Daniela De Zio, Giuseppe Filomeni, Marcello D’Amelio, Francesca Nazio, Peter Gruß, Gian María Fimia, Mauro Piacentini, Valentina Cianfanelli, Virve Cavallucci and Beth Levine and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Francesco Cecconi

175 papers receiving 17.1k citations

Hit Papers

Oxidative stress and autophagy: the ... 1998 2026 2007 2016 2014 2007 1998 2013 2002 500 1000 1.5k

Peers

Francesco Cecconi
Comparison fields: 5 of 175
  • Molecular Biology 10.2k
  • Epidemiology 6.5k
  • Cell Biology 2.3k
  • Physiology 2.0k
  • Cancer Research 1.6k
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Roberta A. Gottlieb United States
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Yujie Li China
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Citations per field, relative to Francesco Cecconi
Francesco Cecconi · 1×
Citations per year, relative to Francesco Cecconi
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Countries citing papers authored by Francesco Cecconi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cecconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cecconi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cecconi. A scholar is included among the top collaborators of Francesco Cecconi 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 Cecconi. Francesco Cecconi 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 1
2 3
3 3
4 5
5 20
6 6
7 8
8 9
9 31
10 16
11 101
12 62
13 112
14 13
15
Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0
42
16 40
17 65
18 1
19
Distinctive roles of PHAP proteins and prothymosin-alpha in a death regulatory pathway
12
20 13

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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