C. Fava

55 papers receiving 1.9k citations

Hit Papers

Prevalence of adrenal incidentaloma in a contemporary computerized tomography series 2006 · 505 citations
5052006202620122019100200300400500

Peers

C. Fava
Comparison fields: 5 of 91
  • Critical Care and Intensive Care Medicine 482
  • Endocrinology, Diabetes and Metabolism 459
  • Hepatology 173
  • Radiology, Nuclear Medicine and Imaging 451
  • Surgery 864
Replace M. Galanski with:
M. Galanski Germany
Federico Rea Italy
Chiara Floridi Italy
W. Dennis Foley United States
N. Reed Dunnick United States
Pierre‐Yves Salaün France
Pier Luigi Filosso Italy
Kwhanmien Kim South Korea
Stéphan Wicky United States
Carmel G. Cronin Ireland
C. Fava relative to M. Galanski Germany M. Galanski's profile →
Citations per field
00.5×10×
M. Galanski · 1×
Citations per year

Countries citing papers authored by C. Fava

Since Specialization
Citations

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

Fields of papers citing papers by C. Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside C. Fava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Fava Line = papers co-authored together C. Fava links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201312
2 201234
3 20104
4 20101
5 200919
6 20091
7 20090
8 200956
9 200771
10 200654
11 200639
12 20066
13
Prevalence of adrenal incidentaloma in a contemporary computerized tomography series
Hit paper breakdown →
2006505
14 20063
15 200629
16 2006413
17 200539
18 199134
19 19886
20 19885

About C. Fava

C. Fava is a scholar working on Complementary and Manual Therapy, Critical Care and Intensive Care Medicine, Oral Surgery, Pulmonary and Respiratory Medicine and Anatomy, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Pleural and Pulmonary Diseases (7 papers), Ultrasound in Clinical Applications (5 papers), Myasthenia Gravis and Thymoma (5 papers), Soft tissue tumor case studies (4 papers), Radiation Dose and Imaging (4 papers) and Dental Radiography and Imaging (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (482 citations), Endocrinology, Diabetes and Metabolism (459 citations), Hepatology (173 citations), Radiology, Nuclear Medicine and Imaging (451 citations) and Surgery (864 citations). C. Fava has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Aldo Cataldi, G. Garofalo, F. Perotto, Luciano Cardinale, Sandro Massimo Priola, Adriano Massimiliano Priola, Giovanni Volpicelli, Silvia Novello, Giovanna Casoli and Alessandro Mussa. Their work appears in journals such as La radiologia medica, Journal of Prosthetic Dentistry, CardioVascular and Interventional Radiology, The American Journal of Emergency Medicine and British Journal of Haematology.

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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