Gabriele Forlani

9.4k citations
55 papers · 7.1k indexed · 3 hit papers · h-index 24
Topics
Liver Disease Diagnosis and Treatment (20 papers)Diabetes Management and Research (14 papers)Diet, Metabolism, and Disease (9 papers)
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Gabriele Forlani

55 papers receiving 6.9k citations

Hit Papers

Nonalcoholic Fatty Liver, Steatohepatitis, and the Metabo...199920262008201720032001199950010001.5k2.0k

Peers

Gabriele Forlani
Comparison fields: 5 of 127
  • Epidemiology 5.5k
  • Endocrinology, Diabetes and Metabolism 3.5k
  • Hepatology 1.4k
  • Physiology 1.2k
  • Surgery 1.1k
Replace Nazario Melchionda with:
Nazario Melchionda Italy
Gianfranco Pagano Italy
Shira Zelber‐Sagi Israel
Helena Cortez‐Pinto Portugal
Jörn M. Schattenberg Germany
Nicola Villanova Italy
Byung‐Wan Lee South Korea
Francesco Angelico Italy
Maria Del Ben Italy
Chris Day United Kingdom
Gabriele Forlani relative to Nazario Melchionda Italy Nazario Melchionda's profile →
Citations per field
00.5×1.5×
Nazario Melchionda · 1×
Citations per year

Countries citing papers authored by Gabriele Forlani

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Forlani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Forlani

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Forlani. A scholar is included among the top collaborators of Gabriele Forlani 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 Gabriele Forlani. Gabriele Forlani 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 2
2 4
3 16
4 19
5 42
6 7
7 24
8 24
9 19
10 59
11 14
12 7
13 33
14
Nonalcoholic Fatty Liver, Steatohepatitis, and the Metabolic Syndromebreakdown →
2144
15 23
16 44
17 2
18 72
19 14
20 7

About Gabriele Forlani

Gabriele Forlani is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Epidemiology, having authored 55 papers that have together received 7.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Diabetes Management and Research (14 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.5k citations), Hepatology (1.4k citations) and Epidemiology (5.5k citations). Gabriele Forlani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Giulio Marchesini, Elisabetta Bugianesi, Nazario Melchionda, Stefania Natale, Marco Lenzi, Giampaolo Bianchi, Mara Brizi, Arthur J. McCullough, Rita Manini and Sara Tomassetti. Their work appears in journals such as Gastroenterology, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

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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