Smith Gp

673 citations
11 papers · 579 · h-index 9

Impact in

Papers in

Smith Gp

10 papers receiving 526 citations

Peers

Smith Gp
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 199
  • Physiology 183
  • Cellular and Molecular Neuroscience 133
  • Behavioral Neuroscience 24
  • Nutrition and Dietetics 98
Replace A.S.H. Kent with:
A.S.H. Kent United Kingdom
Brenda Smith United States
E Bobbioni Switzerland
Richard G. Carpenter United States
Erik Schéle Sweden
G WADE United States
Maria Hamze Sinno France
L. J. Stein United States
Minati Singh United States
Martha A. Schalla Germany
Smith Gp relative to A.S.H. Kent United Kingdom A.S.H. Kent's profile →
Citations per field
00.5×1.5×
A.S.H. Kent · 1×
Citations per year

Countries citing papers authored by Smith Gp

Since Specialization
Citations

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

Fields of papers citing papers by Smith Gp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Smith Gp, 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 Smith Gp Line = papers co-authored together Smith Gp links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1998250
2
Cholecystokinin: a putative satiety signal.
197584
3
Cholecystokinin and intestinal satiety in the rat.
197478
4
Gut peptides and postprandial satiety.
198454
5
The satiating effect of cholecystokinin.
198829
6
Localization of thrombomodulin antigen in rabbit endothelial cells in culture. An immunofluorescence and immunoelectron microscope study.
198627
7
Gut hormone hypothesis of postprandial satiety.
198422
8 196718
9 19679
10
Triage: endgame realities.
19857
11
Degradability of cellulose acetate (1.7 D.S.) and cellophane in anaerobic bioreactors
19921

About Smith Gp

Smith Gp is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Clinical Psychology, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 11 papers that have together received 579 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Regulation of Appetite and Obesity (2 papers), Eating Disorders and Behaviors (2 papers), Neuroendocrine regulation and behavior (2 papers), Stress Responses and Cortisol (2 papers), Obesity, Physical Activity, Diet (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (199 citations), Physiology (183 citations), Cellular and Molecular Neuroscience (133 citations), Behavioral Neuroscience (24 citations) and Nutrition and Dietetics (98 citations). Smith Gp has collaborated with scholars based in United States and Panama. Frequent co-authors include James Gibbs, Jason C. G. Halford, D. Panyam, BJ Rolls, Young Rc, PR McHugh, David Eberiel and Ji‐Dong Gu. Their work appears in journals such as American Journal of Physiology-Legacy Content, American Journal of Clinical Nutrition, PubMed and The HKU Scholars Hub (University of Hong Kong).

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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