Massimo D’Amato

36 papers receiving 1.7k citations

Peers

Massimo D’Amato
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 489
  • Gastroenterology 342
  • Nutrition and Dietetics 335
  • Physiology 401
  • Endocrinology, Diabetes and Metabolism 249
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Władysław Bielański Poland
Mark Klitgaard Nøhr Denmark
Oliver Goetze Germany
Peter Layer Germany
Harald Schwörer Germany
Diego Currò Italy
Tomohiko Taminato Japan
E. D. Jacobson United States
Richard F. Harty United States
Akiyoshi Mizumoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Massimo D’Amato

Since Specialization
Citations

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

Fields of papers citing papers by Massimo D’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo D’Amato. 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 Massimo D’Amato. The network helps show where Massimo D’Amato may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999236
2 2001171
3 2009120
4 2012119
5 1998105
6 1999103
7 2019101
8 200675
9 200475
10 200269
11 200463
12 199862
13 201059
14 201253
15 198840
16 201439
17 201538
18 201430
19 201428
20 199527

About Massimo D’Amato

Massimo D’Amato is a scholar working on Gastroenterology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine and Surgery, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Gastrointestinal motility and disorders (6 papers), Gastroesophageal reflux and treatments (5 papers), Regulation of Appetite and Obesity (5 papers), Silymarin and Mushroom Poisoning (5 papers), Gastric Cancer Management and Outcomes (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (489 citations), Gastroenterology (342 citations), Nutrition and Dietetics (335 citations), Physiology (401 citations) and Endocrinology, Diabetes and Metabolism (249 citations). Massimo D’Amato has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Christoph Beglinger, Jürgen Drewe, Lucio Claudio Rovati, Graham J. Dockray, John McLaughlin, David G. Thompson, Daniel Matzinger, Lukas P. Degen, Giampaolo Giacovelli and Maria Grazia Lucà. Their work appears in journals such as Gastroenterology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology, The Journal of Clinical Endocrinology & Metabolism and British Journal of Pharmacology.

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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