Francesco Sellitri

21 papers receiving 382 citations

Peers

Francesco Sellitri
Comparison fields: 5 of 48
  • Pulmonary and Respiratory Medicine 246
  • Anesthesiology and Pain Medicine 159
  • Surgery 133
  • Oncology 63
  • Cardiology and Cardiovascular Medicine 59
Replace Federico Tacconi with:
Federico Tacconi Italy
Tomaž Štupnik Slovenia
Dilip Thakar United States
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Miguel Congregado Spain
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Francesco Sellitri relative to Federico Tacconi Italy Federico Tacconi's profile →
Citations per field
00.5×1.5×
Federico Tacconi · 1×
Citations per year

Countries citing papers authored by Francesco Sellitri

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Sellitri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Sellitri

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 11
3 1
4 18
5 9
6 42
7 4
8 45
9 2
10
Predictor of oncological and neurological outcomes after surgery in patients with thymomatous class III myasthenia gravis.
1
11 2
12 101
13 79
14 7
15 5
16
A rare case of giant cystic chondroid hamartoma of the lung presenting with left side pneumothorax.
5
17 8
18 7
19 33
20
Congenital cystic adenomatoid malformation of the lung in an adult presenting as unilobar expanding compressive cyst.
2

About Francesco Sellitri

Francesco Sellitri is a scholar working on Anesthesiology and Pain Medicine, Neurology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 391 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Myasthenia Gravis and Thymoma (5 papers) and Respiratory Support and Mechanisms (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (159 citations), Pulmonary and Respiratory Medicine (246 citations) and Psychiatry and Mental health (49 citations). Francesco Sellitri has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Tommaso Claudio Mineo, Federico Tacconi, Vincenzo Ambrogi, Eugenio Pompeo, Gianluca Vanni, Giampiero Dolci, Jury Brandolini, Fabio Davoli, Franco Stella and Filippo Tommaso Gallina. Their work appears in journals such as International Journal of Molecular Sciences, The Annals of Thoracic Surgery and BMJ Open.

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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