Ivana Semova

1.4k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Ivana Semova is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ivana Semova has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Ivana Semova's work include Cholesterol and Lipid Metabolism (4 papers), Diet, Metabolism, and Disease (3 papers) and Gut microbiota and health (3 papers). Ivana Semova is often cited by papers focused on Cholesterol and Lipid Metabolism (4 papers), Diet, Metabolism, and Disease (3 papers) and Gut microbiota and health (3 papers). Ivana Semova collaborates with scholars based in United States, Netherlands and Austria. Ivana Semova's co-authors include John F. Rawls, Lantz C. Mackey, Juliana Debrito Carten, Jesse Stombaugh, Rob Knight, Steven Farber, Michelle Kanther, Linh N Pham, Sudha B. Biddinger and J. Gray Camp and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Gastroenterology.

In The Last Decade

Ivana Semova

11 papers receiving 1.1k citations

Hit Papers

Microbiota Regulate Intestinal Absorption and Metabolism ... 2012 2026 2016 2021 2012 200 400 600

Peers

Ivana Semova
Ivana Semova
Citations per year, relative to Ivana Semova Ivana Semova (= 1×) peers Juliana Debrito Carten

Countries citing papers authored by Ivana Semova

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Semova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Semova

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

All Works

12 of 12 papers shown
1.
Krawczyk, Joanna, William O’Connor, Pedro Henrique Vendramini, et al.. (2025). The diabetes gene Tcf7l2 organizes gene expression in the liver and regulates amino acid metabolism. Molecular Metabolism. 99. 102208–102208.
2.
Lickwar, Colin R., James M. Davison, Cecelia Kelly, et al.. (2022). Transcriptional Integration of Distinct Microbial and Nutritional Signals by the Small Intestinal Epithelium. Cellular and Molecular Gastroenterology and Hepatology. 14(2). 465–493. 7 indexed citations
3.
Semova, Ivana, Amy E. Levenson, Joanna Krawczyk, et al.. (2022). Insulin Prevents Hypercholesterolemia by Suppressing 12α-Hydroxylated Bile Acids. Circulation. 145(13). 969–982. 22 indexed citations
4.
Semova, Ivana & Sudha B. Biddinger. (2021). Triglycerides in Nonalcoholic Fatty Liver Disease: Guilty Until Proven Innocent. Trends in Pharmacological Sciences. 42(3). 183–190. 42 indexed citations
5.
Semova, Ivana, Amy E. Levenson, Joanna Krawczyk, et al.. (2020). Markers of cholesterol synthesis are elevated in adolescents and young adults with type 2 diabetes. Pediatric Diabetes. 21(7). 1126–1131. 7 indexed citations
6.
Semova, Ivana, Amy E. Levenson, Joanna Krawczyk, et al.. (2019). Type 1 diabetes is associated with an increase in cholesterol absorption markers but a decrease in cholesterol synthesis markers in a young adult population. Journal of clinical lipidology. 13(6). 940–946. 21 indexed citations
7.
Hu, Yue, Ivana Semova, Xiaowei Sun, et al.. (2017). Fructose and glucose can regulate mammalian target of rapamycin complex 1 and lipogenic gene expression via distinct pathways. Journal of Biological Chemistry. 293(6). 2006–2014. 14 indexed citations
8.
Gearing, Mary, et al.. (2017). FoxO1 Is Required for Most of the Metabolic and Hormonal Perturbations Produced by Hepatic Insulin Receptor Deletion in Male Mice. Endocrinology. 159(3). 1253–1263. 22 indexed citations
9.
Kory, Nora, Susanne Grond, Siddhesh S. Kamat, et al.. (2016). Mice lacking lipid droplet-associated hydrolase, a gene linked to human prostate cancer, have normal cholesterol ester metabolism. Journal of Lipid Research. 58(1). 226–235. 15 indexed citations
10.
Semova, Ivana, Juliana Debrito Carten, Jesse Stombaugh, et al.. (2012). Microbiota Regulate Intestinal Absorption and Metabolism of Fatty Acids in the Zebrafish. Cell Host & Microbe. 12(3). 277–288. 674 indexed citations breakdown →
11.
Camp, J. Gray, Michelle Kanther, Ivana Semova, & John F. Rawls. (2009). Patterns and Scales in Gastrointestinal Microbial Ecology. Gastroenterology. 136(6). 1989–2002. 63 indexed citations
12.
Pham, Linh N, Michelle Kanther, Ivana Semova, & John F. Rawls. (2008). Methods for generating and colonizing gnotobiotic zebrafish. Nature Protocols. 3(12). 1862–1875. 178 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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