Humberto Torloni

73 total papers · 3.7k total citations
44 papers, 2.3k citations indexed

About

Humberto Torloni is a scholar working on Oncology, Surgery and Otorhinolaryngology. According to data from OpenAlex, Humberto Torloni has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Surgery and 10 papers in Otorhinolaryngology. Recurrent topics in Humberto Torloni's work include Head and Neck Cancer Studies (10 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Cervical Cancer and HPV Research (4 papers). Humberto Torloni is often cited by papers focused on Head and Neck Cancer Studies (10 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Cervical Cancer and HPV Research (4 papers). Humberto Torloni collaborates with scholars based in Brazil, Belgium and United States. Humberto Torloni's co-authors include R. W. Scarff, Luiz Paulo Kowalski, F. K. Mostofi, Leslie H. Sobin, Eduardo L. Franco, B.V. Oliveira, María Paula Curado, Antonio Fava, Ademar Lopes and Francisco Paulo da Fonseca and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and The Journal of Urology.

In The Last Decade

Humberto Torloni

43 papers receiving 2.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Humberto Torloni	944	621	451	393	351	44	2.3k
G. Moberger	1.1k 1.2×	947 1.5×	431 1.0×	374 1.0×	201 0.6×	47	2.5k
Deepak Kademani	699 0.7×	807 1.3×	494 1.1×	342 0.9×	175 0.5×	63	2.2k
Belén Lloveras	1.3k 1.4×	725 1.2×	207 0.5×	460 1.2×	257 0.7×	84	2.8k
Robert O. Greer	463 0.5×	513 0.8×	271 0.6×	344 0.9×	72 0.2×	54	2.2k
Matthé P.M. Burger	1.2k 1.3×	406 0.7×	144 0.3×	494 1.3×	171 0.5×	55	2.8k
Esther Hauben	568 0.6×	657 1.1×	256 0.6×	492 1.3×	245 0.7×	85	2.3k
A. Kathrine Lie	671 0.7×	558 0.9×	545 1.2×	578 1.5×	393 1.1×	44	2.2k
D. M. Chisholm	907 1.0×	311 0.5×	176 0.4×	581 1.5×	153 0.4×	56	2.4k
D. Wiesenfeld	774 0.8×	390 0.6×	599 1.3×	250 0.6×	87 0.2×	93	2.3k
John Saunders	891 0.9×	746 1.2×	884 2.0×	473 1.2×	268 0.8×	73	2.5k

Countries citing papers authored by Humberto Torloni

Since Specialization

Citations

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

Fields of papers citing papers by Humberto Torloni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Humberto Torloni

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