Emanuela Traini

57 total papers · 1.7k total citations
33 papers, 1.2k citations indexed

About

Emanuela Traini is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Emanuela Traini has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 19 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Nephrology. Recurrent topics in Emanuela Traini's work include Thyroid and Parathyroid Surgery (20 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Parathyroid Disorders and Treatments (11 papers). Emanuela Traini is often cited by papers focused on Thyroid and Parathyroid Surgery (20 papers), Thyroid Cancer Diagnosis and Treatment (14 papers) and Parathyroid Disorders and Treatments (11 papers). Emanuela Traini collaborates with scholars based in Italy, United States and North Macedonia. Emanuela Traini's co-authors include Rocco Bellantone, Celestino Pio Lombardi, Carmela De Crea, Marco Raffaelli, Mauro Boscherini, Pier Francesco Alesina, Pietro Princi, Maurizio Bossola, Cecilia Zuppi and Cinzia Carrozza and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Emanuela Traini

30 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Emanuela Traini 981 603 364 221 185 33 1.2k
L Rosato 1.1k 1.1× 692 1.1× 195 0.5× 253 1.1× 273 1.5× 37 1.3k
Andreas Manouras 744 0.8× 117 0.2× 80 0.2× 74 0.3× 125 0.7× 50 985
David Velázquez‐Fernández 520 0.5× 201 0.3× 72 0.2× 157 0.7× 35 0.2× 45 1.1k
Fu L. Luan 517 0.5× 149 0.2× 119 0.3× 26 0.1× 38 0.2× 40 1.4k
Stanley R. Friesen 502 0.5× 256 0.4× 89 0.2× 55 0.2× 13 0.1× 38 1.4k
Robert C. Ramsay 518 0.5× 248 0.4× 124 0.3× 39 0.2× 11 0.1× 29 1.4k
M. Meradji 445 0.5× 47 0.1× 81 0.2× 107 0.5× 14 0.1× 55 1.3k
Bernhard H. Singsen 153 0.2× 26 0.0× 51 0.1× 186 0.8× 136 0.7× 41 1.3k
Rose de Bruyn 304 0.3× 93 0.2× 27 0.1× 102 0.5× 23 0.1× 41 911
Arthur J. Ross 800 0.8× 42 0.1× 127 0.3× 56 0.3× 8 0.0× 45 1.4k

Countries citing papers authored by Emanuela Traini

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Traini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Traini

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