Francesca Tesi

17 total papers · 422 total citations
10 papers, 248 citations indexed

About

Francesca Tesi is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health. According to data from OpenAlex, Francesca Tesi has authored 10 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Psychiatry and Mental health. Recurrent topics in Francesca Tesi's work include Cardiovascular Syncope and Autonomic Disorders (7 papers), Hallucinations in medical conditions (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Francesca Tesi is often cited by papers focused on Cardiovascular Syncope and Autonomic Disorders (7 papers), Hallucinations in medical conditions (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Francesca Tesi collaborates with scholars based in Italy, United Kingdom and United States. Francesca Tesi's co-authors include Andrea Ungar, Martina Rafanelli, Niccolò Marchionni, Michele Brignole, Alice Ceccofiglio, Marco Tomaino, Matthias Unterhuber, Iacopo Iacomelli, Germano Gaggioli and Matteo Iori and has published in prestigious journals such as Journal of the American Geriatrics Society, Heart and International Journal of Cardiology.

In The Last Decade

Francesca Tesi

10 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Francesca Tesi	146	131	62	53	30	10	248
Gabriele Noro	200 1.4×	179 1.4×	48 0.8×	45 0.8×	5 0.2×	10	258
Una Nedeljković	128 0.9×	78 0.6×	13 0.2×	45 0.8×	10 0.3×	18	297
Arjen Mol	190 1.3×	185 1.4×	47 0.8×	22 0.4×	5 0.2×	17	331
Y. Fleissig	111 0.8×	61 0.5×	10 0.2×	80 1.5×	8 0.3×	17	321
Triona McNicholas	81 0.6×	80 0.6×	22 0.4×	25 0.5×	4 0.1×	18	211
Maria Lia Lunardelli	170 1.2×	86 0.7×	19 0.3×	30 0.6×	9 0.3×	13	263
Kenneth Rockwood	40 0.3×	62 0.5×	16 0.3×	84 1.6×	24 0.8×	7	232
Sofie Jansen	77 0.5×	128 1.0×	82 1.3×	35 0.7×	15 0.5×	12	309
Monica Spruit‐van Eijk	55 0.4×	17 0.1×	34 0.5×	64 1.2×	6 0.2×	14	310
Margarida Harumi Miyazaki	22 0.2×	17 0.1×	35 0.6×	131 2.5×	12 0.4×	12	299

Countries citing papers authored by Francesca Tesi

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Tesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Tesi

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