Fabio Monari

564 citations
23 papers · 246 indexed · h-index 11

Impact in

Papers in

Fabio Monari

23 papers receiving 245 citations

Peers

Fabio Monari
Comparison fields: 5 of 43
  • Hepatology 53
  • Radiology, Nuclear Medicine and Imaging 94
  • Pulmonary and Respiratory Medicine 121
  • Endocrinology, Diabetes and Metabolism 50
  • Oncology 69
Replace Joanna Moschandreas with:
Joanna Moschandreas United Kingdom
Fourat Ridouani United States
Victor Lewitzki Germany
Rita Salvatori Italy
Sabrina Hartenbach Austria
Xin Song China
Claudia Waldhäusl Austria
John Dombrowski United States
Aydın Çiltaş Türkiye
Laurent Vervueren France
Fabio Monari relative to Joanna Moschandreas United Kingdom Joanna Moschandreas's profile →
Citations per field
00.5×3.4×
Joanna Moschandreas · 1×
Citations per year

Countries citing papers authored by Fabio Monari

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Monari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fabio Monari, 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 Fabio Monari Line = papers co-authored together Fabio Monari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20235
3 202211
4 20221
5 20218
6 20213
7 20213
8 202121
9 20217
10 202114
11 202012
12 202013
13 20192
14 201822
15 20181
16 201717
17 20171
18 201650
19
L-arginine and hypertension in pregnancy
20081
20 19973

About Fabio Monari

Fabio Monari is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine and Oncology, having authored 23 papers that have together received 246 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Medical Imaging Techniques and Applications (4 papers), Bone health and treatments (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Hepatology (53 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Pulmonary and Respiratory Medicine (121 citations), Endocrinology, Diabetes and Metabolism (50 citations) and Oncology (69 citations). Fabio Monari has collaborated with scholars based in Italy and China. Frequent co-authors include Cristina Mosconi, Rita Golfieri, Alberta Cappelli, Elisa Lodi Rizzini, Cinzia Pettinato, Matteo Renzulli, Franco Trevisani, Alessandro Cucchetti, Giuseppe De Vincentis and Giovanni Brandi. Their work appears in journals such as Future Oncology, Cancers, Scientific Reports, British Journal of Cancer and ESMO 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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