Romy Kursawe

4.5k total citations · 2 hit papers
38 papers, 3.0k citations indexed

About

Romy Kursawe is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Romy Kursawe has authored 38 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Romy Kursawe's work include Liver Disease Diagnosis and Treatment (12 papers), Adipose Tissue and Metabolism (11 papers) and Pancreatic function and diabetes (11 papers). Romy Kursawe is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Adipose Tissue and Metabolism (11 papers) and Pancreatic function and diabetes (11 papers). Romy Kursawe collaborates with scholars based in United States, Sweden and Italy. Romy Kursawe's co-authors include Sonia Caprio, Bridget Pierpont, Gerald I. Shulman, Nicola Santoro, Melissa Shaw, Rachel J. Perry, Michael L. Stitzel, Nathan Lawlor, Cosimo Giannini and Ina Kycia and has published in prestigious journals such as Cell, Nature Communications and The Journal of Immunology.

In The Last Decade

Romy Kursawe

38 papers receiving 2.9k citations

Hit Papers

Hepatic Acetyl CoA Links Adipose Tissue Inflammation to H... 2015 2026 2018 2022 2015 2016 100 200 300 400 500

Peers

Romy Kursawe
Romy Kursawe
Citations per year, relative to Romy Kursawe Romy Kursawe (= 1×) peers Katherine Cianflone

Countries citing papers authored by Romy Kursawe

Since Specialization
Citations

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

Fields of papers citing papers by Romy Kursawe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romy Kursawe

This figure shows the co-authorship network connecting the top 25 collaborators of Romy Kursawe. A scholar is included among the top collaborators of Romy Kursawe 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 Romy Kursawe. Romy Kursawe 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
1.
Deng, Yamei, Jie Zhu, Emily M. Walker, et al.. (2025). LONP1 regulation of mitochondrial protein folding provides insight into beta cell failure in type 2 diabetes. Nature Metabolism. 7(8). 1570–1592. 1 indexed citations
2.
Kursawe, Romy, Asa Thibodeau, Chi Zhao, et al.. (2024). Multi-omic human pancreatic islet endoplasmic reticulum and cytokine stress response mapping provides type 2 diabetes genetic insights. Cell Metabolism. 36(11). 2468–2488.e7. 7 indexed citations
3.
Tyler, Anna L., Romy Kursawe, Annat Haber, et al.. (2023). Variation in histone configurations correlates with gene expression across nine inbred strains of mice. Genome Research. 33(6). 857–871. 1 indexed citations
4.
Kales, Susan, Romy Kursawe, Jacob C. Ulirsch, et al.. (2021). Functional characterization of T2D-associated SNP effects on baseline and ER stress-responsive β cell transcriptional activation. Nature Communications. 12(1). 20 indexed citations
5.
Rui, Jinxiu, Songyan Deng, Ana Luisa Perdigoto, et al.. (2021). Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes. Nature Communications. 12(1). 5074–5074. 19 indexed citations
6.
Thibodeau, Asa, Alper Eroğlu, Christopher S. McGinnis, et al.. (2021). AMULET: a novel read count-based method for effective multiplet detection from single nucleus ATAC-seq data. Genome biology. 22(1). 252–252. 35 indexed citations
7.
Kursawe, Romy, Ahrim Youn, Nathan Lawlor, et al.. (2018). Type 2 Diabetes–Associated Genetic Variants Regulate Chromatin Accessibility in Human Islets. Diabetes. 67(11). 2466–2477. 40 indexed citations
8.
Caprio, Sonia, Bridget Pierpont, & Romy Kursawe. (2018). The “adipose tissue expandability” hypothesis: a potential mechanism for insulin resistance in obese youth. Hormone Molecular Biology and Clinical Investigation. 33(2). 16 indexed citations
9.
Lawlor, Nathan, Ahrim Youn, Romy Kursawe, Duygu Ucar, & Michael L. Stitzel. (2017). Alpha TC1 and Beta-TC-6 genomic profiling uncovers both shared and distinct transcriptional regulatory features with their primary islet counterparts. Scientific Reports. 7(1). 11959–11959. 25 indexed citations
10.
Caprio, Sonia, Rachel J. Perry, & Romy Kursawe. (2017). Adolescent Obesity and Insulin Resistance: Roles of Ectopic Fat Accumulation and Adipose Inflammation. Gastroenterology. 152(7). 1638–1646. 103 indexed citations
11.
Lawlor, Nathan, Joshy George, Mohan Bolisetty, et al.. (2016). Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes. Genome Research. 27(2). 208–222. 345 indexed citations breakdown →
12.
Kursawe, Romy, Vishwa Deep Dixit, Philipp E. Scherer, et al.. (2015). A Role of the Inflammasome in the Low Storage Capacity of the Abdominal Subcutaneous Adipose Tissue in Obese Adolescents. Diabetes. 65(3). 610–618. 83 indexed citations
13.
Perry, Rachel J., João Paulo Camporez, Romy Kursawe, et al.. (2015). Hepatic Acetyl CoA Links Adipose Tissue Inflammation to Hepatic Insulin Resistance and Type 2 Diabetes. Cell. 160(4). 745–758. 536 indexed citations breakdown →
14.
Santoro, Nicola, Sonia Caprio, Cosimo Giannini, et al.. (2013). Oxidized Fatty Acids: A Potential Pathogenic Link Between Fatty Liver and Type 2 Diabetes in Obese Adolescents?. Antioxidants and Redox Signaling. 20(2). 383–389. 36 indexed citations
15.
Kumashiro, Naoki, Toru Yoshimura, Jennifer Cantley, et al.. (2012). Role of patatin-like phospholipase domain-containing 3 on lipid-induced hepatic steatosis and insulin resistance in rats. Hepatology. 57(5). 1763–1772. 75 indexed citations
16.
Santoro, Nicola, Hongyu Zhao, A.J. Pakstis, et al.. (2011). Variant in the glucokinase regulatory protein ( GCKR ) gene is associated with fatty liver in obese children and adolescents. Hepatology. 55(3). 781–789. 194 indexed citations
17.
Kursawe, Romy, Deepak Narayan, Anna M. G. Cali, et al.. (2010). Downregulation of ADIPOQ and PPARγ2 Gene Expression in Subcutaneous Adipose Tissue of Obese Adolescents With Hepatic Steatosis. Obesity. 18(10). 1911–1917. 21 indexed citations
18.
Santoro, Nicola, Romy Kursawe, Ebe D’Adamo, et al.. (2010). A Common Variant in the Patatin-Like Phospholipase 3 Gene ( PNPLA3 ) Is Associated with Fatty Liver Disease in Obese Children and Adolescents. Hepatology. 52(4). 1281–1290. 178 indexed citations
19.
Cali, Anna M. G., Hyeon-Jin Kim, Shu Chen, et al.. (2009). Glucose dysregulation and hepatic steatosis in obese adolescents. Hepatology. 49(6). 1896–1903. 131 indexed citations
20.
Krause, Kerstin, Sien‐Yi Sheu, Thomas Aigner, et al.. (2008). Evidence for a role of the amyloid precursor protein in thyroid carcinogenesis. Journal of Endocrinology. 198(2). 291–299. 47 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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