Karina Cunha e Rocha

673 total citations · 1 hit paper
16 papers, 472 citations indexed

About

Karina Cunha e Rocha is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Karina Cunha e Rocha has authored 16 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Karina Cunha e Rocha's work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Karina Cunha e Rocha is often cited by papers focused on MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Karina Cunha e Rocha collaborates with scholars based in United States, Brazil and China. Karina Cunha e Rocha's co-authors include Wei Ying, Jerrold M. Olefsky, Hong Gao, Zhongmou Jin, Gautam Bandyopadhyay, Dinghong Zhang, Alice Cristina Rodrigues, Tatiana Kisseleva, David A. Brenner and Xiao Liu and has published in prestigious journals such as Gastroenterology, Hepatology and The Journal of Physiology.

In The Last Decade

Karina Cunha e Rocha

15 papers receiving 470 citations

Hit Papers

Aberrant iron distribution via hepatocyte-stellate cell a... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karina Cunha e Rocha United States 10 223 158 130 70 62 16 472
Zongqi Zhang China 10 261 1.2× 75 0.5× 130 1.0× 64 0.9× 44 0.7× 22 449
Kristina Behnke Germany 9 124 0.6× 62 0.4× 64 0.5× 57 0.8× 64 1.0× 19 378
Marcel G. M. Wolfs Netherlands 9 212 1.0× 120 0.8× 41 0.3× 61 0.9× 18 0.3× 9 530
Trang T. D. Luong Germany 12 188 0.8× 41 0.3× 42 0.3× 37 0.5× 19 0.3× 20 528
Stéphanie Moulin France 9 151 0.7× 58 0.4× 70 0.5× 43 0.6× 44 0.7× 11 401
Baoyong Zhou China 12 238 1.1× 92 0.6× 100 0.8× 42 0.6× 39 0.6× 40 481
Louise Tzung-Harn Hsieh Germany 10 235 1.1× 91 0.6× 83 0.6× 20 0.3× 19 0.3× 14 523
Phaedra Tachtatzis United Kingdom 7 87 0.4× 213 1.3× 56 0.4× 128 1.8× 125 2.0× 13 390
S. Takahashi Japan 11 164 0.7× 49 0.3× 54 0.4× 76 1.1× 30 0.5× 33 455
Mária Godó Hungary 10 237 1.1× 46 0.3× 130 1.0× 36 0.5× 12 0.2× 18 478

Countries citing papers authored by Karina Cunha e Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Karina Cunha e Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karina Cunha e Rocha. 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 Karina Cunha e Rocha. The network helps show where Karina Cunha e Rocha may publish in the future.

Co-authorship network of co-authors of Karina Cunha e Rocha

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

All Works

16 of 16 papers shown
1.
Rohm, Theresa V., Karina Cunha e Rocha, & Jerrold M. Olefsky. (2025). Metabolic Messengers: small extracellular vesicles. Nature Metabolism. 7(2). 253–262. 13 indexed citations
2.
Wang, Ke, Enchen Zhou, Karina Cunha e Rocha, et al.. (2025). ATF4 drives regulatory T cell functional specification in homeostasis and obesity. Science Immunology. 10(105). eadp7193–eadp7193. 1 indexed citations
3.
Rohm, Theresa V., Felipe C.G. Reis, Karina Cunha e Rocha, et al.. (2025). Adipose Tissue Macrophages in Metabolic Dysfunction–Associated Steatohepatitis Secrete Extracellular Vesicles That Activate Liver Fibrosis in Obese Male Mice. Gastroenterology. 169(4). 691–704.e9. 3 indexed citations
4.
Rocha, Karina Cunha e, Julia Kempf, Chunqi Qian, et al.. (2025). Adipose tissue macrophage-derived miR-690 modulates adipocyte precursor cell maintenance and adipogenesis. Molecular Metabolism. 101. 102246–102246. 1 indexed citations
5.
Rohm, Theresa V., Felipe C.G. Reis, Roi Isaac, et al.. (2024). Adipose tissue macrophages secrete small extracellular vesicles that mediate rosiglitazone-induced insulin sensitization. Nature Metabolism. 6(5). 880–898. 23 indexed citations
6.
Rocha, Karina Cunha e, et al.. (2024). Host metabolic inflammation fueled by bacterial DNA. Trends in Endocrinology and Metabolism. 36(8). 767–777.
7.
Rocha, Karina Cunha e, Wei Ying, & Jerrold M. Olefsky. (2024). Exosome-Mediated Impact on Systemic Metabolism. Annual Review of Physiology. 86(1). 225–253. 46 indexed citations
8.
Gao, Hong, Karina Cunha e Rocha, Zhongmou Jin, et al.. (2024). Restoring SRSF3 in Kupffer cells attenuates obesity-related insulin resistance. Hepatology. 80(2). 363–375. 4 indexed citations
9.
Gao, Hong, Ke Wang, Jorge Suárez, et al.. (2023). Gut lumen-leaked microbial DNA causes myocardial inflammation and impairs cardiac contractility in ageing mouse heart. Frontiers in Immunology. 14. 1216344–1216344. 7 indexed citations
10.
Gao, Hong, Zhongmou Jin, Gautam Bandyopadhyay, et al.. (2022). MiR-690 treatment causes decreased fibrosis and steatosis and restores specific Kupffer cell functions in NASH. Cell Metabolism. 34(7). 978–990.e4. 96 indexed citations
11.
Gao, Hong, Zhongmou Jin, Gautam Bandyopadhyay, et al.. (2022). Aberrant iron distribution via hepatocyte-stellate cell axis drives liver lipogenesis and fibrosis. Cell Metabolism. 34(8). 1201–1213.e5. 150 indexed citations breakdown →
12.
Gao, Hong, Zhongmou Jin, Kechun Tang, et al.. (2022). Microbial DNA Enrichment Promotes Adrenomedullary Inflammation, Catecholamine Secretion, and Hypertension in Obese Mice. Journal of the American Heart Association. 11(4). e024561–e024561. 13 indexed citations
13.
Rocha, Karina Cunha e, et al.. (2020). Aerobic exercise training regulates serum extracellular vesicle miRNAs linked to obesity to promote their beneficial effects in mice. American Journal of Physiology-Endocrinology and Metabolism. 319(3). E579–E591. 46 indexed citations
14.
Falquetto, Bárbara, Karina Thieme, Marília Brinati Malta, et al.. (2020). Oxidative stress in the medullary respiratory neurons contributes to respiratory dysfunction in the 6‐OHDA model of Parkinson's disease. The Journal of Physiology. 598(22). 5271–5293. 14 indexed citations
15.
Rocha, Karina Cunha e, et al.. (2018). An update on efflux and uptake transporters as determinants of statin response. Expert Opinion on Drug Metabolism & Toxicology. 14(6). 613–624. 29 indexed citations
16.
Rocha, Karina Cunha e, Gilson Masahiro Murata, Luís Gustavo Oliveira de Sousa, et al.. (2017). Fenofibrate reverses changes induced by high‐fat diet on metabolism in mice muscle and visceral adipocytes. Journal of Cellular Physiology. 233(4). 3515–3528. 26 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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