F. Campagna

1.0k citations
27 papers · 802 · h-index 12

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

    • Lipoproteins and Cardiovascular Health 5
    • Organ Transplantation Techniques and Outcomes 4
    • Liver Disease Diagnosis and Treatment 6

F. Campagna

26 papers receiving 787 citations

Peers

F. Campagna
Comparison fields: 5 of 77
  • Hepatology 349
  • Epidemiology 330
  • Clinical Biochemistry 57
  • Ophthalmology 72
  • Surgery 324
Replace Hirokazu Takahashi with:
Hirokazu Takahashi Japan
Masato Koseki Japan
M Lunetta Italy
Ning Yang China
Douglas J. Koo United States
Sean W. C. Chen United States
Michael Mulholland United States
Stefano Benedini Italy
Ken Ohtsuka Japan
Jie Shi China
F. Campagna relative to Hirokazu Takahashi Japan Hirokazu Takahashi's profile →
Citations per field
00.5×5.5×
Hirokazu Takahashi · 1×
Citations per year

Countries citing papers authored by F. Campagna

Since Specialization
Citations

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

Fields of papers citing papers by F. Campagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008160
2 2017133
3 199973
4 201867
5 200263
6 201457
7 200856
8 201046
9 200132
10 200023
11 201419
12 201612
13 201711
14 20009
15 20097
16 20187
17 20176
18 20125
19 20104
20 20053

About F. Campagna

F. Campagna is a scholar working on Surgery, Epidemiology, Hepatology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 802 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Retinal Diseases and Treatments (5 papers), Retinal Development and Disorders (5 papers), Lipid metabolism and disorders (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Neurological Complications and Syndromes (3 papers). The work is most often cited by research in Hepatology (349 citations), Epidemiology (330 citations), Clinical Biochemistry (57 citations), Ophthalmology (72 citations) and Surgery (324 citations). F. Campagna has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Piero Amodio, Paolo Angeli, Angelo Gatta, Daniela Mapelli, Pamela Iannizzi, Marcello Arca, Anna Montali, Andrea Mancini, Sami Schiff and Sara Montagnese. Their work appears in journals such as Journal of Hepatology, Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, Clinical Genetics and Investigative Ophthalmology & Visual Science.

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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