Sara A. Beddow

2.2k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Sara A. Beddow is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Sara A. Beddow has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Sara A. Beddow's work include Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Immunotherapy and Immune Responses (3 papers). Sara A. Beddow is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Immunotherapy and Immune Responses (3 papers). Sara A. Beddow collaborates with scholars based in United States and Canada. Sara A. Beddow's co-authors include Varman T. Samuel, Gerald I. Shulman, Mario Kahn, Glenn S. Gerhard, Xin Chu, Christopher D. Still, Steven A. Kliewer, David J. Mangelsdorf, Paul L. Miller and Stephen F. Previs and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sara A. Beddow

13 papers receiving 1.7k citations

Hit Papers

FGF19 as a Postprandial, Insulin-Independent Activator of... 2011 2026 2016 2021 2011 2011 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FGF19 as a Postprandial, Insulin-Independent Activator of Hepatic Protein and Glycogen Synthesis
    2011 503 citations Serkan Kır, Sara A. Beddow et al. Science profile →
  2. Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease
    2011 450 citations Naoki Kumashiro, Derek M. Erion et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara A. Beddow United States 9 779 768 523 445 411 13 1.7k
Pierre‐Damien Denechaud France 17 609 0.8× 1.2k 1.5× 384 0.7× 428 1.0× 552 1.3× 27 2.0k
Blas A. Guigni United States 16 551 0.7× 539 0.7× 335 0.6× 453 1.0× 233 0.6× 19 1.3k
María E. Miquilena-Colina Spain 14 1.0k 1.3× 449 0.6× 361 0.7× 209 0.5× 227 0.6× 16 1.5k
Sung‐E Choi South Korea 22 450 0.6× 694 0.9× 247 0.5× 352 0.8× 322 0.8× 53 1.6k
George G. Schweitzer United States 19 577 0.7× 624 0.8× 377 0.7× 567 1.3× 278 0.7× 33 1.4k
Jamie E. Mells United States 10 987 1.3× 447 0.6× 675 1.3× 247 0.6× 464 1.1× 11 1.5k
Javier Vargas‐Castrillón Spain 10 980 1.3× 397 0.5× 327 0.6× 186 0.4× 213 0.5× 13 1.3k
Xavier Prieur France 20 392 0.5× 796 1.0× 352 0.7× 392 0.9× 503 1.2× 46 1.8k
Shigeru Yatoh Japan 25 344 0.4× 793 1.0× 421 0.8× 258 0.6× 705 1.7× 44 1.7k
Pili Zhang United States 18 371 0.5× 637 0.8× 362 0.7× 195 0.4× 626 1.5× 22 1.5k

Countries citing papers authored by Sara A. Beddow

Since Specialization
Citations

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

Fields of papers citing papers by Sara A. Beddow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara A. Beddow. 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 Sara A. Beddow. The network helps show where Sara A. Beddow may publish in the future.

Co-authorship network of co-authors of Sara A. Beddow

This figure shows the co-authorship network connecting the top 25 collaborators of Sara A. Beddow. A scholar is included among the top collaborators of Sara A. Beddow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sara A. Beddow. Sara A. Beddow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Onay, Venus, Dan Xu, Dauren Biyashev, et al.. (2024). Attenuation of skin injury by a MARCO targeting PLGA nanoparticle. npj Regenerative Medicine. 9(1). 37–37. 2 indexed citations
2.
Neef, Tobias, Igal Ifergan, Sara A. Beddow, et al.. (2021). Tolerance Induced by Antigen-Loaded PLG Nanoparticles Affects the Phenotype and Trafficking of Transgenic CD4+ and CD8+ T Cells. Cells. 10(12). 3445–3445. 6 indexed citations
3.
Beddow, Sara A., Arijeet K. Gattu, Daniel F. Vatner, et al.. (2018). PEPCK1 Antisense Oligonucleotide Prevents Adiposity and Impairs Hepatic Glycogen Synthesis in High-Fat Male Fed Rats. Endocrinology. 160(1). 205–219. 8 indexed citations
4.
Ifergan, Igal, Todd S. Davidson, Hania Kébir, et al.. (2017). Targeting the GM-CSF receptor for the treatment of CNS autoimmunity. Journal of Autoimmunity. 84. 1–11. 41 indexed citations
5.
Vatner, Daniel F., Dirk Weismann, Sara A. Beddow, et al.. (2013). Thyroid hormone receptor-β agonists prevent hepatic steatosis in fat-fed rats but impair insulin sensitivity via discrete pathways. American Journal of Physiology-Endocrinology and Metabolism. 305(1). E89–E100. 85 indexed citations
6.
Jin, Eunsook S., Sara A. Beddow, Craig R. Malloy, & Varman T. Samuel. (2012). Hepatic glucose production pathways after three days of a high-fat diet. Metabolism. 62(1). 152–162. 18 indexed citations
7.
Beddow, Sara A. & Varman T. Samuel. (2012). Fasting hyperglycemia in the Goto-Kakizaki rat is dependent on corticosterone: a confounding variable in rodent models of type 2 diabetes. Disease Models & Mechanisms. 5(5). 681–5. 16 indexed citations
8.
Kır, Serkan, Sara A. Beddow, Varman T. Samuel, et al.. (2011). FGF19 as a Postprandial, Insulin-Independent Activator of Hepatic Protein and Glycogen Synthesis. Science. 331(6024). 1621–1624. 503 indexed citations breakdown →
9.
Kumashiro, Naoki, Derek M. Erion, Dongyan Zhang, et al.. (2011). Cellular mechanism of insulin resistance in nonalcoholic fatty liver disease. Proceedings of the National Academy of Sciences. 108(39). 16381–16385. 450 indexed citations breakdown →
10.
Samuel, Varman T., Sara A. Beddow, Takanori Iwasaki, et al.. (2009). Fasting hyperglycemia is not associated with increased expression of PEPCK or G6Pc in patients with Type 2 Diabetes. Proceedings of the National Academy of Sciences. 106(29). 12121–12126. 137 indexed citations
11.
Kempton, Laurence B., Mark H. Gonzalez, Robert M. Leven, et al.. (2008). Assessment of Axonal Growth into Collagen Nerve Guides Containing VEGF‐Transfected Stem Cells in Matrigel. The Anatomical Record. 292(2). 214–224. 16 indexed citations
12.
Harrison, Heather, et al.. (2008). The Behavioral and Immunological Effect of GM-1 Ganglioside on Nerve Root Regeneration Following C5 Nerve Root Avulsion in a Rat Model. Journal of Reconstructive Microsurgery. 25(2). 97–103. 1 indexed citations
13.
Samuel, Varman T., Zhenxiang Liu, Amy Wang, et al.. (2007). Inhibition of protein kinase Cε prevents hepatic insulin resistance in nonalcoholic fatty liver disease. Journal of Clinical Investigation. 117(3). 739–745. 393 indexed citations

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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