Francesco Lanfranchi

79 total papers · 11.8k total citations
24 papers, 181 citations indexed

About

Francesco Lanfranchi is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Francesco Lanfranchi has authored 24 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Francesco Lanfranchi's work include Prostate Cancer Treatment and Research (5 papers), Long-Term Effects of COVID-19 (3 papers) and Peptidase Inhibition and Analysis (2 papers). Francesco Lanfranchi is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Long-Term Effects of COVID-19 (3 papers) and Peptidase Inhibition and Analysis (2 papers). Francesco Lanfranchi collaborates with scholars based in Italy, Australia and Germany. Francesco Lanfranchi's co-authors include Alessandro Padovani, Luca Rozzini, Maria Enrica Gilberti, Pietro Apostoli, Simona Catalani, Matteo Bauckneht, Gianmario Sambuceti, Silvia Morbelli, Andrea Pilotto and Stefano Raffa and has published in prestigious journals such as Journal of Clinical Oncology, Neurobiology of Aging and Journal of Alzheimer s Disease.

In The Last Decade

Francesco Lanfranchi

19 papers receiving 178 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 Lanfranchi 48 41 37 31 31 24 181
Elena Gkrouzman 29 0.6× 38 0.9× 27 0.7× 55 1.8× 29 0.9× 16 276
Dingbang Chen 104 2.2× 96 2.3× 19 0.5× 74 2.4× 16 0.5× 38 270
Grace J. Lee 50 1.0× 58 1.4× 15 0.4× 5 0.2× 27 0.9× 13 231
Xuen Yu 76 1.6× 131 3.2× 29 0.8× 61 2.0× 19 0.6× 24 288
Xuefang Yu 69 1.4× 61 1.5× 24 0.6× 29 0.9× 24 0.8× 19 235
Marian Statter 36 0.8× 78 1.9× 27 0.7× 7 0.2× 68 2.2× 26 289
Yuhan Kong 36 0.8× 49 1.2× 22 0.6× 12 0.4× 22 0.7× 19 261
B Selverstone 45 0.9× 20 0.5× 18 0.5× 29 0.9× 6 0.2× 16 211
Chiara Greggi 11 0.2× 62 1.5× 31 0.8× 14 0.5× 41 1.3× 25 242
David Scoville 12 0.3× 84 2.0× 20 0.5× 51 1.6× 21 0.7× 20 244

Countries citing papers authored by Francesco Lanfranchi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Lanfranchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Lanfranchi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Lanfranchi. A scholar is included among the top collaborators of Francesco Lanfranchi 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 Lanfranchi. Francesco Lanfranchi 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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