Michele Biscuola

59 total papers · 1.7k total citations
23 papers, 1.1k citations indexed

About

Michele Biscuola is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Michele Biscuola has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 6 papers in Oncology. Recurrent topics in Michele Biscuola's work include Endometrial and Cervical Cancer Treatments (6 papers), Sarcoma Diagnosis and Treatment (5 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Michele Biscuola is often cited by papers focused on Endometrial and Cervical Cancer Treatments (6 papers), Sarcoma Diagnosis and Treatment (5 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Michele Biscuola collaborates with scholars based in Spain, United States and Italy. Michele Biscuola's co-authors include José Palacios, María Ángeles Castilla, Laura Romero‐Pérez, María Ángeles López‐García, Xavier Matías‐Guiu, Pier Franco Pignatti, Esther Oliva, Juan Díaz‐Martín, Nicola Martinelli and Domenico Girelli and has published in prestigious journals such as PLoS ONE, The American Journal of Surgical Pathology and The Journal of Pathology.

In The Last Decade

Michele Biscuola

22 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Michele Biscuola 440 359 186 174 161 23 1.1k
Elaine Sierra‐Rivera 574 1.3× 191 0.5× 126 0.7× 76 0.4× 71 0.4× 19 956
Feng Lin 343 0.8× 178 0.5× 219 1.2× 94 0.5× 298 1.9× 42 1.1k
Huan Yan 756 1.7× 300 0.8× 207 1.1× 97 0.6× 90 0.6× 37 1.3k
Russell Broaddus 605 1.4× 271 0.8× 483 2.6× 169 1.0× 155 1.0× 15 1.1k
Zhenhai Yu 742 1.7× 449 1.3× 271 1.5× 120 0.7× 149 0.9× 46 1.3k
Weiwei Li 569 1.3× 386 1.1× 71 0.4× 125 0.7× 62 0.4× 35 962
Sha Huang 414 0.9× 169 0.5× 146 0.8× 186 1.1× 176 1.1× 39 947
María Ángeles Castilla 747 1.7× 432 1.2× 323 1.7× 175 1.0× 121 0.8× 31 1.3k
Jan Hilpert 672 1.5× 100 0.3× 118 0.6× 80 0.5× 36 0.2× 25 1.4k
Hans Nordlinder 394 0.9× 77 0.2× 190 1.0× 60 0.3× 100 0.6× 40 1.3k

Countries citing papers authored by Michele Biscuola

Since Specialization
Citations

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

Fields of papers citing papers by Michele Biscuola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Biscuola

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