Catia Sternini

9.0k citations
166 papers · 7.5k indexed · h-index 48

Impact in

Papers in

Catia Sternini

164 papers receiving 7.3k citations

Peers

Catia Sternini
Comparison fields: 5 of 112
  • Gastroenterology 1.5k
  • Cellular and Molecular Neuroscience 3.9k
  • Sensory Systems 929
  • Endocrine and Autonomic Systems 968
  • Nutrition and Dietetics 1.2k
Replace Rodger A. Liddle with:
Rodger A. Liddle United States
Jackie D. Wood United States
Chung Owyang United States
Joseph H. Szurszewski United States
P. Facer United Kingdom
David Grundy United Kingdom
Steven R. Vigna United States
L. Ashley Blackshaw Australia
Hongzhen Hu United States
Michael Schemann Germany
Catia Sternini relative to Rodger A. Liddle United States Rodger A. Liddle's profile →
Citations per field
00.5×1.5×1.8×
Rodger A. Liddle · 1×
Citations per year

Countries citing papers authored by Catia Sternini

Since Specialization
Citations

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

Fields of papers citing papers by Catia Sternini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20213
3 201916
4 20198
5 201661
6 201456
7 2008295
8 200815
9 200843
10 2007164
11 200653
12 200647
13 200569
14 20011
15 199829
16 199636
17 199634
18 199332
19 199245
20 199115

About Catia Sternini

Catia Sternini is a scholar working on Gastroenterology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Sensory Systems and Nutrition and Dietetics, having authored 166 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (97 papers), Receptor Mechanisms and Signaling (34 papers), Gastrointestinal motility and disorders (33 papers), Biochemical Analysis and Sensing Techniques (21 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (19 papers), Pancreatic function and diabetes (16 papers), Regulation of Appetite and Obesity (15 papers) and Olfactory and Sensory Function Studies (13 papers). The work is most often cited by research in Gastroenterology (1.5k citations), Cellular and Molecular Neuroscience (3.9k citations), Sensory Systems (929 citations), Endocrine and Autonomic Systems (968 citations) and Nutrition and Dietetics (1.2k citations). Catia Sternini has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Nicholas C. Brecha, Roberto De Giorgio, Enrique Rozengurt, Laura Anselmi, Joseph R. Reeve, Lawrence Kruger, Helen E. Raybould, Patrick W. Mantyh, Nigel W. Bunnett and Helen Wong. Their work appears in journals such as Gastroenterology, The Journal of Comparative Neurology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Neurogastroenterology & Motility and Neuroscience.

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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