Clara E. Cho

2.4k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Clara E. Cho is a scholar working on Physiology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Clara E. Cho has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Molecular Biology and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Clara E. Cho's work include Birth, Development, and Health (17 papers), Diet and metabolism studies (13 papers) and Adipose Tissue and Metabolism (8 papers). Clara E. Cho is often cited by papers focused on Birth, Development, and Health (17 papers), Diet and metabolism studies (13 papers) and Adipose Tissue and Metabolism (8 papers). Clara E. Cho collaborates with scholars based in Canada, United States and Sweden. Clara E. Cho's co-authors include Marie A. Caudill, Mikael Norman, G. Harvey Anderson, Tina Akhavan, Bohdan L. Luhovyy, Olga Malysheva, Erica Bender, Siraphat Taesuwan, Jian Yan and Peter H. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and The FASEB Journal.

In The Last Decade

Clara E. Cho

36 papers receiving 1.7k citations

Hit Papers

Trimethylamine‐N‐oxide (TMAO) response to animal source f... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara E. Cho Canada 18 724 676 433 360 233 38 1.7k
Wendy E. Ward Canada 36 997 1.4× 619 0.9× 307 0.7× 362 1.0× 86 0.4× 173 3.6k
Jian Yan United States 24 583 0.8× 314 0.5× 293 0.7× 570 1.6× 362 1.6× 58 1.7k
Tue H. Hansen Denmark 22 1.6k 2.3× 930 1.4× 344 0.8× 105 0.3× 222 1.0× 35 2.6k
Fenglei Wang China 24 765 1.1× 759 1.1× 634 1.5× 109 0.3× 146 0.6× 53 2.1k
Negar Naderpoor Australia 20 607 0.8× 493 0.7× 418 1.0× 90 0.3× 95 0.4× 38 1.8k
Mora Murri Spain 26 1.7k 2.3× 1.1k 1.7× 621 1.4× 149 0.4× 238 1.0× 64 3.7k
Jasper Most Netherlands 19 513 0.7× 869 1.3× 305 0.7× 181 0.5× 190 0.8× 53 1.8k
Agneta L. Sunehag United States 29 356 0.5× 843 1.2× 299 0.7× 349 1.0× 97 0.4× 60 2.3k
Josune Olza Spain 26 268 0.4× 544 0.8× 458 1.1× 187 0.5× 58 0.2× 42 1.6k
Henk Schierbeek Netherlands 27 393 0.5× 448 0.7× 140 0.3× 410 1.1× 54 0.2× 91 2.1k

Countries citing papers authored by Clara E. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Clara E. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara E. Cho. 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 Clara E. Cho. The network helps show where Clara E. Cho may publish in the future.

Co-authorship network of co-authors of Clara E. Cho

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

All Works

20 of 20 papers shown
2.
Tang, Justin, et al.. (2025). A Comprehensive Review of Nutritional Influences on the Serotonergic System. Advances in Nutrition. 16(11). 100524–100524.
3.
Feeney, J., et al.. (2025). Prenatal Intake of High Multivitamins or Folic Acid With or Without Choline Contributes to Gut Microbiota‐Associated Dysregulation of Serotonin in Offspring. Molecular Nutrition & Food Research. 69(9). e70044–e70044. 1 indexed citations
5.
Yang, Zeyu, et al.. (2024). The Effect of Micronutrients on Obese Phenotype of Adult Mice Is Dependent on the Experimental Environment. Nutrients. 16(5). 696–696. 1 indexed citations
6.
Poole, Elizabeth M., et al.. (2024). Prenatal choline supplementation enhances metabolic outcomes with differential impact on DNA methylation in Wistar rat offspring and dams. The Journal of Nutritional Biochemistry. 136. 109806–109806.
7.
McBurney, Michael I. & Clara E. Cho. (2024). Understanding the role of the human gut microbiome in overweight and obesity. Annals of the New York Academy of Sciences. 1540(1). 61–88. 2 indexed citations
8.
Kubant, Ruslan, et al.. (2023). Methyl donor micronutrients, hypothalamic development and programming for metabolic disease. Neuroscience & Biobehavioral Reviews. 157. 105512–105512. 5 indexed citations
9.
Kubant, Ruslan, et al.. (2023). Micronutrients in High‐Fat Diet Modify Insulin Resistance and Its Regulatory Genes in Adult Male Mice. Molecular Nutrition & Food Research. 67(18). e2300199–e2300199. 9 indexed citations
10.
Chen, Vicki, et al.. (2023). Modification of the serotonergic systems and phenotypes by gestational micronutrients. Journal of Endocrinology. 257(2). 6 indexed citations
11.
Chen, Vicki, et al.. (2023). Folate and Choline: Does It Take Two to Tango in Early Programming of Disease?. Lifestyle Genomics. 16(1). 177–191. 4 indexed citations
12.
Cho, Clara E., et al.. (2020). Effect of Choline Forms and Gut Microbiota Composition on Trimethylamine-N-Oxide Response in Healthy Men. Nutrients. 12(8). 2220–2220. 56 indexed citations
13.
Taesuwan, Siraphat, Clara E. Cho, Olga Malysheva, et al.. (2017). The metabolic fate of isotopically labeled trimethylamine-N-oxide (TMAO) in humans. The Journal of Nutritional Biochemistry. 45. 77–82. 46 indexed citations
14.
Cho, Clara E. & Marie A. Caudill. (2016). Trimethylamine- N -Oxide: Friend, Foe, or Simply Caught in the Cross-Fire?. Trends in Endocrinology and Metabolism. 28(2). 121–130. 168 indexed citations
15.
Sánchez‐Hernández, Diana, G. Harvey Anderson, Emanuela Pannia, et al.. (2016). Maternal fat-soluble vitamins, brain development, and regulation of feeding behavior: an overview of research. Nutrition Research. 36(10). 1045–1054. 18 indexed citations
16.
Sánchez‐Hernández, Diana, Ruslan Kubant, Pedro S.P. Huot, et al.. (2015). A gestational diet high in fat-soluble vitamins alters expression of genes in brain pathways and reduces sucrose preference, but not food intake, in Wistar male rat offspring. Applied Physiology Nutrition and Metabolism. 40(4). 424–431. 11 indexed citations
17.
18.
Cho, Clara E.. (2014). Role of methyl group vitamins in hypothalamic development of food intake regulation in Wistar rats. Applied Physiology Nutrition and Metabolism. 39(7). 844–844. 3 indexed citations
19.
Cho, Clara E., Diana Sánchez‐Hernández, Sandra A. Reza‐López, et al.. (2013). High folate gestational and post-weaning diets alter hypothalamic feeding pathways by DNA methylation in Wistar rat offspring. Epigenetics. 8(7). 710–719. 80 indexed citations
20.
Anderson, G. Harvey, Clara E. Cho, Tina Akhavan, et al.. (2010). Relation between estimates of cornstarch digestibility by the Englyst in vitro method and glycemic response, subjective appetite, and short-term food intake in young men. American Journal of Clinical Nutrition. 91(4). 932–939. 78 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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