Francesco Cei

411 total citations
11 papers, 64 citations indexed

About

Francesco Cei is a scholar working on Infectious Diseases, Neurology and Health Informatics. According to data from OpenAlex, Francesco Cei has authored 11 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Neurology and 3 papers in Health Informatics. Recurrent topics in Francesco Cei's work include Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Clinical Research Studies (3 papers) and Long-Term Effects of COVID-19 (3 papers). Francesco Cei is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Clinical Research Studies (3 papers) and Long-Term Effects of COVID-19 (3 papers). Francesco Cei collaborates with scholars based in Italy and United States. Francesco Cei's co-authors include Roberto Tarquini, Luca Masotti, Giancarlo Landini, Elisa Grifoni, Federico Moroni, Vieri Vannucchi, Lorenzo Pelagatti, Alice Valoriani, Antonino Mazzone and Alessandra Vecchié and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and The Journal of Urology.

In The Last Decade

Francesco Cei

8 papers receiving 64 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Cei Italy 4 39 23 16 14 12 11 64
Érika Muñoz-García Spain 4 42 1.1× 25 1.1× 18 1.1× 12 0.9× 10 0.8× 7 81
Hema Krishna United States 5 18 0.5× 20 0.9× 11 0.7× 24 1.7× 10 0.8× 10 79
Riccardo Mantovani Italy 5 38 1.0× 16 0.7× 6 0.4× 15 1.1× 11 0.9× 13 76
Robin Dharia United States 5 45 1.2× 39 1.7× 25 1.6× 7 0.5× 4 0.3× 15 96
Gaëtan Plantefève France 3 35 0.9× 19 0.8× 9 0.6× 4 0.3× 10 0.8× 4 55
Sahai Donaldson United States 6 22 0.6× 13 0.6× 20 1.3× 4 0.3× 12 1.0× 15 68
Ji Yeon Lee South Korea 2 99 2.5× 43 1.9× 15 0.9× 8 0.6× 6 0.5× 4 110
Mario Caldararo United States 5 34 0.9× 21 0.9× 18 1.1× 3 0.2× 11 0.9× 12 73
Jennifer Proper United States 3 25 0.6× 13 0.6× 19 1.2× 6 0.4× 7 0.6× 8 72
Taige Chen China 3 83 2.1× 62 2.7× 9 0.6× 6 0.4× 9 0.8× 7 99

Countries citing papers authored by Francesco Cei

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Cei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Cei

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Cei. A scholar is included among the top collaborators of Francesco Cei 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 Francesco Cei. Francesco Cei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Cei, Francesco, et al.. (2025). Heart at Hand: The Role of Point-of-Care Cardiac Ultrasound in Internal Medicine. Journal of Cardiovascular Development and Disease. 12(10). 379–379.
2.
Ganjavi, Conner, et al.. (2025). Large language models for automating clinical trial matching. Current Opinion in Urology. 35(3). 250–258.
3.
Ganjavi, Conner, Michael Eppler, Severin Rodler, et al.. (2025). Generative artificial intelligence in oncology. Current Opinion in Urology. 35(3). 205–213.
4.
Ramacciotti, Lorenzo Storino, Francesco Cei, Severin Rodler, et al.. (2024). Generative Artificial Intelligence Platform for Automating Social Media Posts From Urology Journal Articles: A Cross-Sectional Study and Randomized Assessment. The Journal of Urology. 212(6). 873–881. 2 indexed citations
5.
Cei, Francesco, et al.. (2023). MRSA bacteremia and new-onset aortic and mitral regurgitation: a pernicious and tricky association. SHILAP Revista de lepidopterología. 17(1). 1 indexed citations
6.
Savino, Michelangelo, Bartolomeo Augello, Giuseppe Merla, et al.. (2022). Circadian Genes Expression Patterns in Disorders Due to Enzyme Deficiencies in the Heme Biosynthetic Pathway. Biomedicines. 10(12). 3198–3198. 3 indexed citations
8.
Bonaventura, Aldo, Nicola Mumoli, Antonino Mazzone, et al.. (2022). Correlation of SpO2/FiO2 and PaO2/FiO2 in patients with symptomatic COVID-19: An observational, retrospective study. Internal and Emergency Medicine. 17(6). 1769–1775. 8 indexed citations
9.
Masotti, Luca, Elisa Grifoni, Benedetta Ciambotti, et al.. (2021). Prognostic role of Interleukin-6/lymphocytes ratio in SARS-CoV2 related pneumonia. International Immunopharmacology. 103. 108435–108435. 8 indexed citations
10.
Grifoni, Elisa, Alice Valoriani, Francesco Cei, et al.. (2020). The CALL Score for Predicting Outcomes in Patients With COVID-19. Clinical Infectious Diseases. 72(1). 182–183. 31 indexed citations
11.
Cei, Marco, Francesco Cei, Josè Vitale, & Nicola Mumoli. (2013). Hypoplasia of the inferior vena cava and deep vein thrombosis. QJM. 106(5). 459–460. 1 indexed citations

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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