Monica Torello

16 total papers · 447 total citations
14 papers, 374 citations indexed

About

Monica Torello is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Monica Torello has authored 14 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Monica Torello's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Lymphoma Diagnosis and Treatment (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Monica Torello is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Lymphoma Diagnosis and Treatment (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Monica Torello collaborates with scholars based in Italy, United States and Greece. Monica Torello's co-authors include William A. Horton, Francesco Chiarelli, Anna Spagnoli, Gregory P. Lunstrum, Antonio Tursi, Ron G. Rosenfeld, Charles T. Roberts, Vivian Hwa, Giovanni Brandimarte and Chu‐Xia Deng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

Monica Torello

14 papers receiving 369 citations

Author Peers

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

Author						Papers	Cites
Monica Torello	184	94	64	57	53	14	374
Yoichiro Nakano	193 1.0×	59 0.6×	156 2.4×	54 0.9×	39 0.7×	12	393
Junzhou Tang	195 1.1×	35 0.4×	43 0.7×	63 1.1×	34 0.6×	9	436
Kyoko Wakamatsu	92 0.5×	40 0.4×	74 1.2×	26 0.5×	54 1.0×	23	358
Claire Coire	58 0.3×	216 2.3×	72 1.1×	54 0.9×	18 0.3×	18	414
Chau‐Jye Fong	186 1.0×	71 0.8×	68 1.1×	69 1.2×	64 1.2×	11	422
D.J. Leeming	138 0.8×	19 0.2×	137 2.1×	43 0.8×	50 0.9×	17	400
Jia Wu	204 1.1×	54 0.6×	43 0.7×	61 1.1×	126 2.4×	16	434
M Ricca	141 0.8×	36 0.4×	35 0.5×	30 0.5×	33 0.6×	18	340
Thomas Wohlfahrt	124 0.7×	27 0.3×	75 1.2×	23 0.4×	23 0.4×	11	378
Nicolas Wisniacki	95 0.5×	36 0.4×	68 1.1×	58 1.0×	68 1.3×	12	389

Countries citing papers authored by Monica Torello

Since Specialization

Citations

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

Fields of papers citing papers by Monica Torello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Torello

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