Massimo D’Amato

36 papers receiving 1.7k citations

Peers

Massimo D’Amato
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 520
  • Gastroenterology 354
  • Nutrition and Dietetics 363
  • Physiology 482
  • Endocrinology, Diabetes and Metabolism 274
Replace Władysław Bielański with:
Władysław Bielański Poland
K. Sjölund Sweden
Peter Layer Germany
Diego Currò Italy
Harald Schwörer Germany
Tomohiko Taminato Japan
Koji Yakabi Japan
Akiyoshi Mizumoto Japan
Yukiomi Nakade Japan
Richard F. Harty United States
Massimo D’Amato relative to Władysław Bielański Poland Władysław Bielański's profile →
Citations per field
00.5×1.6×
Władysław Bielański · 1×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999215
2 2001156
3 2009114
4 2012108
5 199998
6 201993
7 199892
8 200474
9 200669
10 200264
11 200460
12 199858
13 201057
14 201247
15 198838
16 201437
17 201537
18 201428
19 199526
20 201426

About Massimo D’Amato

Massimo D’Amato is a scholar working on Surgery, Cellular and Molecular Neuroscience, Gastroenterology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Helicobacter pylori-related gastroenterology studies (9 papers), Regulation of Appetite and Obesity (7 papers), Gastrointestinal motility and disorders (6 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Gastroesophageal reflux and treatments (5 papers), Hepatitis C virus research (4 papers) and Silymarin and Mushroom Poisoning (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (520 citations), Gastroenterology (354 citations), Nutrition and Dietetics (363 citations), Physiology (482 citations) and Endocrinology, Diabetes and Metabolism (274 citations). Massimo D’Amato has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Christoph Beglinger, Jürgen Drewe, Lucio C. Rovati, Graham J. Dockray, John McLaughlin, David G. Thompson, Giampaolo Giacovelli, Daniel Matzinger, Lukas Degen and Maria Grazia Lucà. Their work appears in journals such as Gastroenterology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, European Journal of Pharmacology, 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.

Explore authors with similar magnitude of impact