Francesco Molina

21 total papers · 596 total citations
17 papers, 520 citations indexed

About

Francesco Molina is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Francesco Molina has authored 17 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Francesco Molina's work include Cell Adhesion Molecules Research (3 papers), Genetic factors in colorectal cancer (3 papers) and CRISPR and Genetic Engineering (2 papers). Francesco Molina is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Genetic factors in colorectal cancer (3 papers) and CRISPR and Genetic Engineering (2 papers). Francesco Molina collaborates with scholars based in Italy, United States and United Kingdom. Francesco Molina's co-authors include Michele De Luca, Ranieri Cancedda, Sergio Bondanza, Luis Ugozzoli, G. Magliacani, Matteo Megna, Maurizio Stella, Armando Negri, Fiorella Descalzi Cancedda and Alberto Inga and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Francesco Molina

17 papers receiving 506 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francesco Molina 208 168 94 79 78 17 520
Ángel Bernabé‐García 109 0.5× 265 1.6× 129 1.4× 91 1.2× 57 0.7× 17 585
Pauline Janssen 166 0.8× 87 0.5× 57 0.6× 68 0.9× 27 0.3× 16 614
Shiva Akbarzadeh 230 1.1× 193 1.1× 23 0.2× 59 0.7× 60 0.8× 21 552
Sydney L. Roth 210 1.0× 153 0.9× 38 0.4× 27 0.3× 54 0.7× 13 602
Gaofeng Wang 147 0.7× 81 0.5× 34 0.4× 30 0.4× 86 1.1× 34 506
Colleen L. Doçi 308 1.5× 87 0.5× 27 0.3× 27 0.3× 113 1.4× 17 612
Kathryn M. Trupin 187 0.9× 136 0.8× 39 0.4× 25 0.3× 35 0.4× 9 545
Sandrine Lorimier 147 0.7× 48 0.3× 37 0.4× 80 1.0× 52 0.7× 17 550
Jun‐Jie Wu 245 1.2× 118 0.7× 27 0.3× 65 0.8× 56 0.7× 25 518
Fereshteh S. Younesi 178 0.9× 75 0.4× 18 0.2× 48 0.6× 55 0.7× 11 463

Countries citing papers authored by Francesco Molina

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Molina. A scholar is included among the top collaborators of Francesco Molina 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 Molina. Francesco Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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