Charles Burant

23.9k total citations · 3 hit papers
205 papers, 16.9k citations indexed

About

Charles Burant is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Charles Burant has authored 205 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 81 papers in Physiology and 39 papers in Surgery. Recurrent topics in Charles Burant's work include Adipose Tissue and Metabolism (50 papers), Metabolism, Diabetes, and Cancer (35 papers) and Diet and metabolism studies (33 papers). Charles Burant is often cited by papers focused on Adipose Tissue and Metabolism (50 papers), Metabolism, Diabetes, and Cancer (35 papers) and Diet and metabolism studies (33 papers). Charles Burant collaborates with scholars based in United States, Netherlands and Canada. Charles Burant's co-authors include Nicholas O. Davidson, Diane M. Simeone, David G. Heidt, Lanjing Zhang, Chenwei Li, Max S. Wicha, Piero Dalerba, Volkan Adsay, Michael F. Clarke and Graeme I. Bell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Charles Burant

202 papers receiving 16.6k citations

Hit Papers

align trajectories

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.

Identification of Pancreatic Cancer Stem Cells

2007 2.6k citations Charles Burant et al. Cancer Research profile →
Molecular Biology of Mammalian Glucose Transporters

1990 699 citations Charles Burant et al. profile →
Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools

2015 581 citations Charles Burant, Shankar Subramaniam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Burant United States	66	8.7k	3.3k	2.8k	2.8k	2.2k	205	16.9k
Raymond C. Harris United States	82	8.6k 1.0×	2.5k 0.8×	2.3k 0.8×	1.8k 0.7×	3.3k 1.5×	334	22.5k
Akiyoshi Fukamizu Japan	75	10.8k 1.2×	2.3k 0.7×	2.4k 0.9×	1.6k 0.6×	3.1k 1.4×	365	20.9k
Hiroshi Itoh Japan	74	9.2k 1.1×	3.9k 1.2×	3.9k 1.4×	1.6k 0.6×	4.1k 1.8×	609	22.7k
Michael Downes United States	68	11.4k 1.3×	5.2k 1.5×	2.7k 1.0×	3.0k 1.0×	2.0k 0.9×	169	21.0k
Kazuyuki Tobe Japan	70	9.9k 1.1×	4.8k 1.4×	3.4k 1.2×	1.6k 0.6×	3.3k 1.5×	307	18.5k
Sander M. Houten Netherlands	57	7.5k 0.9×	4.4k 1.3×	2.6k 0.9×	2.6k 0.9×	1.3k 0.6×	157	14.0k
Nada A. Abumrad United States	75	9.5k 1.1×	5.4k 1.6×	3.2k 1.1×	1.3k 0.5×	2.4k 1.1×	179	18.4k
Gozoh Tsujimoto Japan	70	9.6k 1.1×	3.9k 1.2×	2.4k 0.9×	1.1k 0.4×	2.8k 1.3×	336	18.0k
Willa A. Hsueh United States	72	7.1k 0.8×	3.3k 1.0×	3.3k 1.2×	1.3k 0.5×	3.8k 1.7×	251	18.1k
Philippe Lefèbvre France	48	6.6k 0.8×	2.3k 0.7×	1.9k 0.7×	1.9k 0.7×	1.7k 0.8×	180	12.5k

Countries citing papers authored by Charles Burant

Since Specialization

Citations

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

Fields of papers citing papers by Charles Burant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Burant

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Burant. A scholar is included among the top collaborators of Charles Burant 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 Charles Burant. Charles Burant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ellis, S.E., et al.. (2025). Molecular responses in abdominal subcutaneous adipose tissue after a session of endurance exercise: effects of exercise intensity. The Journal of Physiology. 603(22). 6895–6919.

Tao, Rongya, Oliver Stöhr, Özlem Tök, et al.. (2025). Fructose and follistatin potentiate acute MASLD during complete hepatic insulin resistance. Nature Communications. 16(1). 11595–11595.

Dolinoy, Dana C., et al.. (2024). Early pregnancy serum PFAS are associated with alterations in the maternal lipidome. Environmental Research. 263(Pt 3). 120183–120183. 3 indexed citations

Schleh, Michael W., Benjamin J. Ryan, Gary D. Luker, et al.. (2023). Both moderate- and high-intensity exercise training increase intramyocellular lipid droplet abundance and modify myocellular distribution in adults with obesity. American Journal of Physiology-Endocrinology and Metabolism. 325(5). E466–E479. 2 indexed citations

Schleh, Michael W., Benjamin J. Ryan, Alison C. Ludzki, et al.. (2023). Metabolic dysfunction in obesity is related to impaired suppression of fatty acid release from adipose tissue by insulin. Obesity. 31(5). 1347–1361. 9 indexed citations

IglayReger, Heidi B., Sarah Ball, Theresa Han‐Markey, et al.. (2023). Comparing Self-Reported Dietary Intake to Provided Diet during a Randomized Controlled Feeding Intervention: A Pilot Study. SHILAP Revista de lepidopterología. 2(4). 334–343. 5 indexed citations

Vajravelu, Mary Ellen, Emily Hirschfeld, Acham Gebremariam, et al.. (2022). Prospective Test Performance of Nonfasting Biomarkers to Identify Dysglycemia in Children and Adolescents. Hormone Research in Paediatrics. 96(3). 316–324. 4 indexed citations

Ryan, Benjamin J., Michael W. Schleh, Pallavi Varshney, et al.. (2022). Exercise training remodels subcutaneous adipose tissue in adults with obesity even without weight loss. The Journal of Physiology. 600(9). 2127–2146. 29 indexed citations

Domino, Steven E., Marjorie C. Treadwell, Ana Baylín, et al.. (2022). Maternal and neonatal one-carbon metabolites and the epigenome-wide infant response. The Journal of Nutritional Biochemistry. 101. 108938–108938. 6 indexed citations

10.

Orchard, Peter, Nandini Manickam, Swarooparani Vadlamudi, et al.. (2021). Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits. Genome Research. 31(12). 2258–2275. 35 indexed citations

11.

Ryan, Benjamin J., Michael W. Schleh, Alison C. Ludzki, et al.. (2020). Moderate-Intensity Exercise and High-Intensity Interval Training Affect Insulin Sensitivity Similarly in Obese Adults. The Journal of Clinical Endocrinology & Metabolism. 105(8). e2941–e2959. 134 indexed citations

12.

Davis, Frank M., Aaron D. denDekker, Andrew Kimball, et al.. (2020). Epigenetic Regulation of TLR4 in Diabetic Macrophages Modulates Immunometabolism and Wound Repair. The Journal of Immunology. 204(9). 2503–2513. 34 indexed citations

13.

Rothberg, Amy E., William H. Herman, Chun-Yi Wu, et al.. (2019). Weight Loss Improves β-Cell Function in People With Severe Obesity and Impaired Fasting Glucose: A Window of Opportunity. The Journal of Clinical Endocrinology & Metabolism. 105(4). e1621–e1630. 13 indexed citations

14.

Basu, Sumanta, William L. Duren, Charles R. Evans, et al.. (2017). Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data. Bioinformatics. 33(10). 1545–1553. 185 indexed citations

15.

Koch, Lauren G., Steven L. Britton, Nathan Qi, et al.. (2016). Selection-, age-, and exercise-dependence of skeletal muscle gene expression patterns in a rat model of metabolic fitness. Physiological Genomics. 48(11). 816–825. 6 indexed citations

16.

Wahl, Daniel, Joseph Dresser, Kari Wilder-Romans, et al.. (2016). Glioblastoma Therapy Can Be Augmented by Targeting IDH1-Mediated NADPH Biosynthesis. Cancer Research. 77(4). 960–970. 67 indexed citations

17.

Min, Jun, Robert A. DeAngelis, Edimara S. Reis, et al.. (2016). Systems Analysis of the Complement-Induced Priming Phase of Liver Regeneration. The Journal of Immunology. 197(6). 2500–2508. 23 indexed citations

18.

Burant, Charles, et al.. (2012). Network motifs provide signatures that characterize metabolism. Molecular BioSystems. 9(3). 352–360. 20 indexed citations

19.

Chutkow, William A., Jielin Pu, Matthew T. Wheeler, et al.. (2002). Episodic coronary artery vasospasm and hypertension develop in the absence of Sur2 KATP channels. Journal of Clinical Investigation. 110(2). 203–208. 11 indexed citations

20.

Pohlenz, Joachim, et al.. (1998). Congenital hypothyroidism due to mutations in the sodium/iodide symporter. Identification of a nonsense mutation producing a downstream cryptic 3' splice site.. Journal of Clinical Investigation. 101(5). 1028–1035. 90 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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