Francesco Massimo Perla

35 total papers · 1.4k total citations
23 papers, 797 citations indexed

About

Francesco Massimo Perla is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Francesco Massimo Perla has authored 23 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Francesco Massimo Perla's work include Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers) and Diet and metabolism studies (3 papers). Francesco Massimo Perla is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers) and Diet and metabolism studies (3 papers). Francesco Massimo Perla collaborates with scholars based in Italy, United States and United Kingdom. Francesco Massimo Perla's co-authors include Claudio Chiesa, Lucia Pacifico, Caterina Anania, Francesca Olivero, Dario Cocito, M Delsedime, Luca Durelli, Graziano Gusmaroli, C. Barile and L Bergamini and has published in prestigious journals such as Neurology, PEDIATRICS and International Journal of Molecular Sciences.

In The Last Decade

Francesco Massimo Perla

23 papers receiving 775 citations

Author Peers

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

Author						Papers	Cites
Francesco Massimo Perla	398	245	175	148	128	23	797
Jie Wen	235 0.6×	231 0.9×	74 0.4×	152 1.0×	242 1.9×	37	834
Ajay Kher	182 0.5×	99 0.4×	146 0.8×	111 0.8×	286 2.2×	26	991
Margherita Matarazzo	143 0.4×	381 1.6×	124 0.7×	154 1.0×	207 1.6×	33	967
Maren Carstensen‐Kirberg	275 0.7×	205 0.8×	42 0.2×	397 2.7×	206 1.6×	22	938
Sarra Smati	308 0.8×	341 1.4×	29 0.2×	244 1.6×	212 1.7×	21	995
Francesca Urbano	258 0.6×	407 1.7×	55 0.3×	125 0.8×	233 1.8×	35	1.0k
Z. F. Ba	270 0.7×	57 0.2×	67 0.4×	173 1.2×	175 1.4×	26	907
Jun Matsuda	347 0.9×	105 0.4×	116 0.7×	126 0.9×	294 2.3×	33	964
Ming Yu	106 0.3×	122 0.5×	221 1.3×	189 1.3×	146 1.1×	38	962
Michela Incani	396 1.0×	330 1.3×	75 0.4×	146 1.0×	107 0.8×	26	828

Countries citing papers authored by Francesco Massimo Perla

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Massimo Perla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Massimo Perla

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