Carlos K. Katashima

905 total citations
24 papers, 473 citations indexed

About

Carlos K. Katashima is a scholar working on Physiology, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Carlos K. Katashima has authored 24 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 11 papers in Molecular Biology and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Carlos K. Katashima's work include Adipose Tissue and Metabolism (13 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Carlos K. Katashima is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Carlos K. Katashima collaborates with scholars based in Brazil, Switzerland and United States. Carlos K. Katashima's co-authors include Vagner Ramon Rodrigues Silva, Eduardo R. Ropelle, José Rodrigo Pauli, Dennys E. Cintra, Luciene Lenhare, Adelino Sánchez Ramos da Silva, Mário J.A. Saad, Leandro Pereira de Moura, Gustavo D. Pimentel and Patrícia O. Prada and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Diabetes.

In The Last Decade

Carlos K. Katashima

23 papers receiving 469 citations

Peers

Carlos K. Katashima
Vagner Ramon Rodrigues Silva Brazil
Jiling Liang China
Tae Seok Oh South Korea
Keiichi Koshinaka Japan
André L. Queiroz Brazil
Rodrigo S. Gaspar Brazil
Emilie Dalbram Denmark
Melissa L. Borg Sweden
Sophia Raefsky United States
Ana P. Pinto Brazil
Vagner Ramon Rodrigues Silva Brazil
Carlos K. Katashima
Citations per year, relative to Carlos K. Katashima Carlos K. Katashima (= 1×) peers Vagner Ramon Rodrigues Silva

Countries citing papers authored by Carlos K. Katashima

Since Specialization
Citations

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

Fields of papers citing papers by Carlos K. Katashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos K. Katashima. 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 Carlos K. Katashima. The network helps show where Carlos K. Katashima may publish in the future.

Co-authorship network of co-authors of Carlos K. Katashima

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos K. Katashima. A scholar is included among the top collaborators of Carlos K. Katashima 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 Carlos K. Katashima. Carlos K. Katashima 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.
Crisol, Bárbara, Ana Paula Morelli, Carlos K. Katashima, et al.. (2025). Excessive exercise elicits poly (ADP-ribose) Polymerase-1 activation and global protein PARylation driving muscle dysfunction and performance impairment. Molecular Metabolism. 96. 102135–102135. 2 indexed citations
2.
Paula, L.M., Carlos K. Katashima, Ana P. Pinto, et al.. (2025). The influence of diet, age, and obesity on hypothalamic omega-3 fatty acid transporter MFSD2a. Food Research International. 218. 116906–116906.
3.
Katashima, Carlos K., et al.. (2024). Tissue‐specific roles of mitochondrial unfolded protein response during obesity. Obesity Reviews. 25(9). e13791–e13791. 2 indexed citations
4.
Katashima, Carlos K., et al.. (2024). Examining the implications of glutathione peroxidase 4 overexpression and its impact on sarcopenia phenotypes in mice. The Journal of Physiology. 602(5). 771–772. 1 indexed citations
5.
Gaspar, Rodrigo S., Carlos K. Katashima, Bárbara Crisol, et al.. (2023). Physical exercise elicits UPRmt in the skeletal muscle: The role of c-Jun N-terminal kinase. Molecular Metabolism. 78. 101816–101816. 7 indexed citations
6.
Lenhare, Luciene, Vagner Ramon Rodrigues Silva, Carlos K. Katashima, et al.. (2020). Aerobic Exercise Training Induces the Mitonuclear Imbalance and UPRmt in the Skeletal Muscle of Aged Mice. The Journals of Gerontology Series A. 75(12). 2258–2261. 47 indexed citations
7.
Silva, Vagner Ramon Rodrigues, Rodrigo Martins Pereira, Carlos K. Katashima, et al.. (2020). The effects of ninety minutes per week of moderate intensity aerobic exercise on metabolic health in individuals with Type 2 Diabetes: A pilot study. 2(2). 1 indexed citations
8.
Lenhare, Luciene, Vagner Ramon Rodrigues Silva, Carlos K. Katashima, et al.. (2020). High-intensity exercise training induces mitonuclear imbalance and activates the mitochondrial unfolded protein response in the skeletal muscle of aged mice. GeroScience. 43(3). 1513–1518. 33 indexed citations
9.
Silva, Vagner Ramon Rodrigues, Luciene Lenhare, Carlos K. Katashima, et al.. (2019). TGF‐β1 downregulation in the hypothalamus of obese mice through acute exercise. Journal of Cellular Biochemistry. 120(10). 18186–18192. 8 indexed citations
10.
Katashima, Carlos K., et al.. (2018). Effects of ninety minutes per week of continuous aerobic exercise on blood pressure in hypertensive obese humans. Journal of Exercise Rehabilitation. 14(1). 126–132. 3 indexed citations
11.
Katashima, Carlos K., et al.. (2017). iNOS promotes hypothalamic insulin resistance associated with deregulation of energy balance and obesity in rodents. Scientific Reports. 7(1). 9265–9265. 15 indexed citations
12.
Katashima, Carlos K., et al.. (2017). Ursolic acid and mechanisms of actions on adipose and muscle tissue: a systematic review. Obesity Reviews. 18(6). 700–711. 46 indexed citations
13.
Lenhare, Luciene, Bárbara Crisol, Vagner Ramon Rodrigues Silva, et al.. (2017). Physical exercise increases Sestrin 2 protein levels and induces autophagy in the skeletal muscle of old mice. Experimental Gerontology. 97. 17–21. 59 indexed citations
14.
Silva, Vagner Ramon Rodrigues, Carlos K. Katashima, Luciene Lenhare, et al.. (2016). Hypothalamic S1P/S1PR1 axis controls energy homeostasis in Middle-Aged Rodents: the reversal effects of physical exercise. Aging. 9(1). 142–155. 15 indexed citations
15.
Souza, Cláudio Teodoro de, Dennys E. Cintra, Adelino Sánchez Ramos da Silva, et al.. (2014). Exercise training decreases mitogen‐activated protein kinase phosphatase‐3 expression and suppresses hepatic gluconeogenesis in obese mice. The Journal of Physiology. 592(6). 1325–1340. 21 indexed citations
16.
Marín-Navarrete, Rodrigo, et al.. (2014). Abstract 413: Hypothalamic Leptin Signaling And Blood Pressure Regulation In Obese Rats. Hypertension. 64(suppl_1). 1 indexed citations
17.
Silva, Vagner Ramon Rodrigues, Gustavo D. Pimentel, Carlos K. Katashima, et al.. (2014). Hypothalamic S1P/S1PR1 axis controls energy homeostasis. Nature Communications. 5(1). 4859–4859. 59 indexed citations
18.
19.
Quaresma, Paula G.F., et al.. (2013). Diet‐induced obesity induces endoplasmic reticulum stress and insulin resistance in the amygdala of rats. FEBS Open Bio. 3(1). 443–449. 59 indexed citations
20.
Ropelle, Eduardo R., et al.. (2012). Analysis of the physical activity effects and measurement of pro-inflammatory cytokines in irradiated lungs in rats. Acta Cirúrgica Brasileira. 27(3). 223–230. 3 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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