Paola Marcolongo

79 total papers · 1.9k total citations
65 papers, 1.5k citations indexed

About

Paola Marcolongo is a scholar working on Rheumatology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Paola Marcolongo has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Rheumatology, 14 papers in Molecular Biology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Paola Marcolongo's work include Glycogen Storage Diseases and Myoclonus (22 papers), Pancreatic function and diabetes (10 papers) and Amino Acid Enzymes and Metabolism (9 papers). Paola Marcolongo is often cited by papers focused on Glycogen Storage Diseases and Myoclonus (22 papers), Pancreatic function and diabetes (10 papers) and Amino Acid Enzymes and Metabolism (9 papers). Paola Marcolongo collaborates with scholars based in Italy, Hungary and United Kingdom. Paola Marcolongo's co-authors include Angelo Benedetti, Rosella Fulceri, Gábor Bánhegyi, Gábor Bánhegyi, Ann N. Burchell, József Mandl, Alessandra Gamberucci, Silvia Senesi, Miklós Csala and Éva Margittai and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Paola Marcolongo

64 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Paola Marcolongo 542 341 214 213 204 65 1.5k
Jesus A. Villanueva 566 1.0× 611 1.8× 178 0.8× 213 1.0× 144 0.7× 53 2.3k
Stephen A. Kempson 867 1.6× 186 0.5× 207 1.0× 235 1.1× 225 1.1× 92 2.1k
Miho Ohta 533 1.0× 346 1.0× 213 1.0× 133 0.6× 126 0.6× 86 2.2k
Tayebeh Pourmotabbed 633 1.2× 218 0.6× 154 0.7× 246 1.2× 91 0.4× 79 2.2k
C. Anthony Rupar 800 1.5× 178 0.5× 247 1.2× 279 1.3× 143 0.7× 80 1.6k
Jae‐Han Jeon 899 1.7× 149 0.4× 193 0.9× 414 1.9× 198 1.0× 93 2.4k
J.C. Robinson 946 1.7× 153 0.4× 141 0.7× 309 1.5× 188 0.9× 65 1.7k
Alessandra Gamberucci 807 1.5× 153 0.4× 94 0.4× 168 0.8× 220 1.1× 63 1.7k
P. Ortiz 682 1.3× 742 2.2× 146 0.7× 305 1.4× 89 0.4× 47 2.2k
David Cheillan 854 1.6× 130 0.4× 215 1.0× 479 2.2× 381 1.9× 78 1.9k

Countries citing papers authored by Paola Marcolongo

Since Specialization
Citations

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

Fields of papers citing papers by Paola Marcolongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Marcolongo

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Marcolongo. A scholar is included among the top collaborators of Paola Marcolongo 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 Paola Marcolongo. Paola Marcolongo 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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2026