Gian‐Luca Ferri

5.8k citations
107 papers · 4.6k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Gian‐Luca Ferri

107 papers receiving 4.5k citations

Hit Papers

Human distribution and release of a putative new gut hormone, peptide YY 1985 · 867 citations
8671985202619982012250500750

Peers

Gian‐Luca Ferri
Comparison fields: 5 of 115
  • Endocrine and Autonomic Systems 1.1k
  • Cellular and Molecular Neuroscience 1.6k
  • Gastroenterology 406
  • Pharmacology 750
  • Physiology 1.0k
Replace Graham J. Dockray with:
Graham J. Dockray United Kingdom
Steven R. Vigna United States
R. Dimaline United Kingdom
Pamela J. Hornby United States
G.J. Dockray United Kingdom
Catia Sternini United States
Jens F. Rehfeld Denmark
John E. Pintar United States
James E. Krause United States
M.A. Ghatei United Kingdom
Gian‐Luca Ferri relative to Graham J. Dockray United Kingdom Graham J. Dockray's profile →
Citations per field
00.5×1.7×
Graham J. Dockray · 1×
Citations per year

Countries citing papers authored by Gian‐Luca Ferri

Since Specialization
Citations

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

Fields of papers citing papers by Gian‐Luca Ferri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian‐Luca Ferri. 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 Gian‐Luca Ferri. The network helps show where Gian‐Luca Ferri may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202317
2 202023
3 201912
4 201921
5 201925
6 20181
7 201815
8 201717
9 201720
10 201220
11 200538
12 2004341
13 2004369
14 20028
15 199123
16 19904
17 199050
18 198852
19 19874
20 198313

About Gian‐Luca Ferri

Gian‐Luca Ferri is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Gastroenterology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 107 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (39 papers), Regulation of Appetite and Obesity (17 papers), Receptor Mechanisms and Signaling (12 papers), Hypothalamic control of reproductive hormones (8 papers), Neuroendocrine regulation and behavior (8 papers), Pancreatic function and diabetes (8 papers), Nerve injury and regeneration (7 papers) and Helicobacter pylori-related gastroenterology studies (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Cellular and Molecular Neuroscience (1.6k citations), Gastroenterology (406 citations), Pharmacology (750 citations) and Physiology (1.0k citations). Gian‐Luca Ferri has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include J. M. Polak, Thomas E. Adrian, Stephen R. Bloom, H. S. Füeßl, A.J. Bacarese-Hamilton, Roberta Possenti, Cristina Cocco, Andrea Levi, Julia M. Polak and Heike Hermann. Their work appears in journals such as PLoS ONE, Regulatory Peptides, Gastroenterology, Neuroscience and Journal of Histochemistry & Cytochemistry.

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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