Sara Tognini

34 total papers · 875 total citations
19 papers, 609 citations indexed

About

Sara Tognini is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Sara Tognini has authored 19 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Pharmacology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Sara Tognini's work include Thyroid Disorders and Treatments (11 papers), Thyroid Cancer Diagnosis and Treatment (10 papers) and Neuroendocrine Tumor Research Advances (2 papers). Sara Tognini is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Thyroid Cancer Diagnosis and Treatment (10 papers) and Neuroendocrine Tumor Research Advances (2 papers). Sara Tognini collaborates with scholars based in Italy, Belgium and China. Sara Tognini's co-authors include Fabio Monzani, Antonio Polini, Giuseppe Pasqualetti, Nadia Caraccio, Angela Dardano, Valeria Calsolaro, M Ferdeghini, Silvia Ursino, Paolo Miccoli and Rita Mancini and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Age and Ageing and Clinical Endocrinology.

In The Last Decade

Sara Tognini

18 papers receiving 587 citations

Author Peers

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

Author						Papers	Cites
Sara Tognini	387	102	59	59	56	19	609
Antonio Polini	280 0.7×	77 0.8×	31 0.5×	53 0.9×	43 0.8×	19	531
Meng Wang	167 0.4×	107 1.0×	57 1.0×	29 0.5×	44 0.8×	36	538
Andrea Delbarba	272 0.7×	125 1.2×	57 1.0×	27 0.5×	28 0.5×	23	621
S. Nistrup Madsen	292 0.8×	165 1.6×	27 0.5×	20 0.3×	20 0.4×	36	638
Justin D. La Favor	133 0.3×	40 0.4×	50 0.8×	31 0.5×	69 1.2×	23	577
Elisabetta Mandosi	179 0.5×	119 1.2×	67 1.1×	26 0.4×	67 1.2×	20	568
R. Acampora	168 0.4×	80 0.8×	56 0.9×	21 0.4×	32 0.6×	12	599
H T Chao	180 0.5×	88 0.9×	45 0.8×	26 0.4×	42 0.8×	26	651
Mark Sader	322 0.8×	51 0.5×	36 0.6×	42 0.7×	25 0.4×	17	631
Zeyad T. Sahli	181 0.5×	222 2.2×	47 0.8×	12 0.2×	26 0.5×	28	607

Countries citing papers authored by Sara Tognini

Since Specialization

Citations

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

Fields of papers citing papers by Sara Tognini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Tognini

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