Marta S. Smith

54 papers receiving 1.4k citations

Peers

Marta S. Smith
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 510
  • Endocrine and Autonomic Systems 132
  • Physiology 390
  • Cellular and Molecular Neuroscience 255
  • Behavioral Neuroscience 47
Replace Serafim Guimarães with:
Serafim Guimarães Portugal
Valerie Piercy United Kingdom
Pieter Zandberg Netherlands
Dana K. Sindelar United States
Rômulo Leite United States
Olof Nylander Sweden
Cosimo Massafra Italy
William E. Schutzer United States
Allan MacDonald United Kingdom
G. Campistron France
Marta S. Smith relative to Serafim Guimarães Portugal Serafim Guimarães's profile →
Citations per field
00.5×10×20×30×40×47×
Serafim Guimarães · 1×
Citations per year

Countries citing papers authored by Marta S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Marta S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20214
4 20214
5 201815
6
Hepatic glucose uptake and disposition during short-term high-fat vs. high-fructose feeding
20146
7 201368
8 201127
9 201173
10 20114
11 201038
12 20096
13 20084
14 200612
15 200617
16 200521
17 200520
18 200413
19 200417
20 199484

About Marta S. Smith

Marta S. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Surgery, Physiology and Endocrine and Autonomic Systems, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (31 papers), Diabetes Management and Research (19 papers), Diabetes Treatment and Management (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (9 papers), Diet and metabolism studies (8 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (510 citations), Endocrine and Autonomic Systems (132 citations), Physiology (390 citations), Cellular and Molecular Neuroscience (255 citations) and Behavioral Neuroscience (47 citations). Marta S. Smith has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Michael T. Piascik, Leigh B. MacMillan, Lutz Hein, Lee E. Limbird, Alan D. Cherrington, Mary Courtney Moore, Ben Farmer, Doss W. Neal, Guillaume Kraft and Katie C. Coate. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Journal of Clinical Investigation, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and JCI Insight.

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

Rankless by CCL
2026