S Guzman

400 citations
10 papers · 328 indexed · h-index 8

Impact in

Papers in

S Guzman

9 papers receiving 299 citations

Peers

S Guzman
Comparison fields: 5 of 53
  • Endocrine and Autonomic Systems 66
  • Cellular and Molecular Neuroscience 174
  • Gastroenterology 46
  • Endocrinology, Diabetes and Metabolism 88
  • Behavioral Neuroscience 15
Replace R.H. Albuquerque with:
R.H. Albuquerque Brazil
E.R. Forster United Kingdom
T Donáth Hungary
Ayhan Bozkurt Türkiye
Lennart Cegrell Sweden
Christian G. Boehmer United States
Yoshiaki Hirosue Japan
D. Mitolo‐Chieppa Italy
Sandro Giuliani Italy
José Antonio Zueco Spain
S Guzman relative to R.H. Albuquerque Brazil R.H. Albuquerque's profile →
Citations per field
00.5×
R.H. Albuquerque · 1×
Citations per year

Countries citing papers authored by S Guzman

Since Specialization
Citations

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

Fields of papers citing papers by S Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside S Guzman, 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 S Guzman Line = papers co-authored together S Guzman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201159
2 198155
3 198119
4 198095
5 19802
6 198028
7
Gastrin-mediated release of somatostatin and pancreatic polypeptide.
19791
8
Effect of vagal stimulation on pancreatic secretion and on blood levels of gastrin, cholecystokinin, secretin, vasoactive intestinal peptide, and somatostatin.
197950
9 197812
10
Response of cholecystokinin, secretin, and pancreatic secretion to graded doses of bombesin.
19787

About S Guzman

S Guzman is a scholar working on Gastroenterology, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Neurology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Neuroendocrine Tumor Research Advances (4 papers), Pancreatitis Pathology and Treatment (3 papers), Gastrointestinal motility and disorders (3 papers), Vagus Nerve Stimulation Research (2 papers), Diabetes Treatment and Management (2 papers), Stress Responses and Cortisol (1 paper) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Cellular and Molecular Neuroscience (174 citations), Gastroenterology (46 citations), Endocrinology, Diabetes and Metabolism (88 citations) and Behavioral Neuroscience (15 citations). S Guzman has collaborated with scholars based in United States and Chile. Frequent co-authors include Peter G. Devitt, James C. Thompson, Phillip L. Rayford, J. C. Thompson, János Lonovics, P.L. Rayford, Robert L. Suddith, William A. Banks, J.A. Chayvialle and J Lonovics. Their work appears in journals such as Endocrinology, Gastroenterology, Hormone and Metabolic Research, American Journal of Physiology-Gastrointestinal and Liver Physiology and Annals of Surgery.

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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