Cesar Meza

761 total citations · 1 hit paper
11 papers, 508 citations indexed

About

Cesar Meza is a scholar working on Physiology, Epidemiology and Cell Biology. According to data from OpenAlex, Cesar Meza has authored 11 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Cesar Meza's work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (3 papers). Cesar Meza is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (3 papers). Cesar Meza collaborates with scholars based in United States, South Africa and Australia. Cesar Meza's co-authors include Robert C. Hickner, Do‐Houn Kim, Justin D. La Favor, Holly Clarke, Jeong‐Su Kim, Michael J. Ormsbee, Andrew J. McAinch, Sudip Bajpeyi, Jeffrey D. Covington and Katsuhiko Funai and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and Obesity.

In The Last Decade

Cesar Meza

9 papers receiving 501 citations

Hit Papers

Vitamin D and Endothelial Function 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cesar Meza United States 5 146 112 99 96 88 11 508
Do‐Houn Kim United States 6 152 1.0× 225 2.0× 150 1.5× 117 1.2× 97 1.1× 9 667
Hideyuki Kabasawa Japan 11 75 0.5× 79 0.7× 176 1.8× 85 0.9× 42 0.5× 34 553
Marina Aunapuu Estonia 12 80 0.5× 74 0.7× 143 1.4× 39 0.4× 66 0.8× 45 490
Claudia Borza Romania 12 77 0.5× 95 0.8× 144 1.5× 41 0.4× 76 0.9× 50 558
Asuka Hino Japan 9 81 0.6× 140 1.3× 93 0.9× 180 1.9× 96 1.1× 14 694
Andres Arend Estonia 13 79 0.5× 83 0.7× 176 1.8× 39 0.4× 67 0.8× 56 593
Yanqin Wu China 18 136 0.9× 77 0.7× 149 1.5× 54 0.6× 73 0.8× 49 754
Eulalia Alonso‐Iglesias Spain 11 116 0.8× 233 2.1× 191 1.9× 70 0.7× 101 1.1× 12 764
Qianhui Shang China 12 46 0.3× 160 1.4× 172 1.7× 60 0.6× 67 0.8× 30 606
Federica Romitelli Italy 13 54 0.4× 155 1.4× 120 1.2× 116 1.2× 40 0.5× 21 712

Countries citing papers authored by Cesar Meza

Since Specialization
Citations

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

Fields of papers citing papers by Cesar Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cesar Meza

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

All Works

11 of 11 papers shown
1.
Choi, Ran Hee, Cesar Meza, J. Alan Maschek, et al.. (2025). Semaglutide‐induced weight loss improves mitochondrial energy efficiency in skeletal muscle. Obesity. 33(5). 974–985. 4 indexed citations
4.
Clarke, Holly, Do‐Houn Kim, Cesar Meza, Michael J. Ormsbee, & Robert C. Hickner. (2020). The Evolving Applications of Creatine Supplementation: Could Creatine Improve Vascular Health?. Nutrients. 12(9). 2834–2834. 30 indexed citations
5.
Meza, Cesar, et al.. (2020). Exercise-Induced Improvements in Insulin Sensitivity Are Not Attenuated by a Family History of Type 2 Diabetes. Frontiers in Endocrinology. 11. 120–120. 7 indexed citations
6.
Kim, Do‐Houn, Cesar Meza, Holly Clarke, Jeong‐Su Kim, & Robert C. Hickner. (2020). Vitamin D and Endothelial Function. Nutrients. 12(2). 575–575. 229 indexed citations breakdown →
7.
Clarke, Holly, Do‐Houn Kim, Cesar Meza, & Robert C. Hickner. (2020). Pilot Study: The Effect of Acute 5-Day Creatine Supplementation on Macrovascular Endothelial Function in Older Adults. Current Developments in Nutrition. 4. nzaa040_015–nzaa040_015. 2 indexed citations
8.
Meza, Cesar, Justin D. La Favor, Do‐Houn Kim, & Robert C. Hickner. (2019). Endothelial Dysfunction: Is There a Hyperglycemia-Induced Imbalance of NOX and NOS?. International Journal of Molecular Sciences. 20(15). 3775–3775. 232 indexed citations
9.
Meza, Cesar. (2018). The Role Of Circulating Mirnas As Clinical Biomarkers Of Insulin Sensitivity And Exercise Adaptation In Young Offpsring Of Type 2 Diabetes Patients. DigitalCommons@UTEP (The University of Texas at El Paso).
10.
Meza, Cesar, et al.. (2017). Eight Weeks of Combined Exercise Training Induced Improvements in Insulin Sensitivity is Associated with Improvement in Aerobic Capacity, but not with Improvement in Strength.. TopSCHOLAR (Western Kentucky University). 2(9). 48. 2 indexed citations
11.
Meza, Cesar, Shaan Naughton, Deanne H. Hryciw, et al.. (2017). High Fat Diet Induced Obesity Impairs Skeletal Muscle Glycogen and Lipid Preservation After Adiponectin Incubation. TopSCHOLAR (Western Kentucky University). 2(9). 28. 1 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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