Olga Sereda

1.5k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Olga Sereda is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Olga Sereda has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Olga Sereda's work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (4 papers) and Oral and gingival health research (2 papers). Olga Sereda is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (4 papers) and Oral and gingival health research (2 papers). Olga Sereda collaborates with scholars based in United States. Olga Sereda's co-authors include Steven R. Smith, Magdalena Pasarica, Jennifer Rood, David H. Burk, Diana C. Albarado, Leanne M. Redman, Lilian de Jonge, Hui Xie, George A. Bray and Barbara Ukropcová and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Olga Sereda

8 papers receiving 1.1k citations

Hit Papers

Reduced Adipose Tissue Oxygenation in Human Obesity 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Sereda United States 8 749 374 307 232 179 8 1.1k
Silvia Gogg Sweden 13 935 1.2× 738 2.0× 671 2.2× 269 1.2× 74 0.4× 18 1.7k
Alessandra Vitali Italy 7 1.2k 1.6× 649 1.7× 232 0.8× 384 1.7× 167 0.9× 10 1.4k
Shigeru Akagi Japan 12 295 0.4× 399 1.1× 160 0.5× 127 0.5× 58 0.3× 23 935
Marta Serrano Spain 16 864 1.2× 436 1.2× 354 1.2× 102 0.4× 121 0.7× 28 1.3k
Zhihao Wang China 19 231 0.3× 193 0.5× 690 2.2× 270 1.2× 96 0.5× 71 1.3k
Anna A. Kerege United States 16 588 0.8× 198 0.5× 475 1.5× 90 0.4× 222 1.2× 22 1.1k
Takashi Kayahara Japan 11 728 1.0× 295 0.8× 196 0.6× 213 0.9× 104 0.6× 14 1.0k
Chong Lei China 19 272 0.4× 118 0.3× 360 1.2× 57 0.2× 137 0.8× 62 1.1k
Sathnur Pushpakumar United States 25 323 0.4× 112 0.3× 524 1.7× 238 1.0× 41 0.2× 84 1.6k
James L. Park United States 15 254 0.3× 97 0.3× 654 2.1× 119 0.5× 125 0.7× 19 1.1k

Countries citing papers authored by Olga Sereda

Since Specialization
Citations

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

Fields of papers citing papers by Olga Sereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Sereda

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

All Works

8 of 8 papers shown
1.
Bajpeyi, Sudip, Magdalena Pasarica, Kevin E. Conley, et al.. (2016). Pioglitazone-induced improvements in insulin sensitivity occur without concomitant changes in muscle mitochondrial function. Metabolism. 69. 24–32. 21 indexed citations
2.
Bajpeyi, Sudip, Magdalena Pasarica, Cédric Moro, et al.. (2011). Skeletal Muscle Mitochondrial Capacity and Insulin Resistance in Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 96(4). 1160–1168. 61 indexed citations
3.
Sparks, Lauren M., Magdalena Pasarica, Olga Sereda, et al.. (2009). Effect of adipose tissue on the sexual dimorphism in metabolic flexibility. Metabolism. 58(11). 1564–1571. 23 indexed citations
4.
Cefalu, William T., Jennifer Rood, Jianhua Qin, et al.. (2009). Characterization of the metabolic and physiologic response to chromium supplementation in subjects with type 2 diabetes mellitus. Metabolism. 59(5). 755–762. 77 indexed citations
5.
Pasarica, Magdalena, Olga Sereda, Leanne M. Redman, et al.. (2008). Reduced Adipose Tissue Oxygenation in Human Obesity. Diabetes. 58(3). 718–725. 616 indexed citations breakdown →
6.
Wang, Zhong Q., Jianhua Qin, Julie Martin, et al.. (2007). Phenotype of subjects with type 2 diabetes mellitus may determine clinical response to chromium supplementation. Metabolism. 56(12). 1652–1655. 46 indexed citations
7.
Ukropcová, Barbara, Olga Sereda, Lilian de Jonge, et al.. (2007). Family History of Diabetes Links Impaired Substrate Switching and Reduced Mitochondrial Content in Skeletal Muscle. Diabetes. 56(3). 720–727. 135 indexed citations
8.
Ukropcová, Barbara, Olga Sereda, Lilian de Jonge, et al.. (2005). Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor. Journal of Clinical Investigation. 115(7). 1934–1941. 161 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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