Bruno M. Carvalho

2.2k total citations
32 papers, 1.3k citations indexed

About

Bruno M. Carvalho is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Bruno M. Carvalho has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Epidemiology. Recurrent topics in Bruno M. Carvalho's work include Gut microbiota and health (6 papers), Diet and metabolism studies (5 papers) and Adipose Tissue and Metabolism (5 papers). Bruno M. Carvalho is often cited by papers focused on Gut microbiota and health (6 papers), Diet and metabolism studies (5 papers) and Adipose Tissue and Metabolism (5 papers). Bruno M. Carvalho collaborates with scholars based in Brazil, Italy and Germany. Bruno M. Carvalho's co-authors include Mário J.A. Saad, Dioze Guadagnini, Tiago Gomes Araújo, Alexandre G. Oliveira, José Barreto Campello Carvalheira, Guilherme Z. Rocha, Daniela Miti Lemos Tsukumo, Andrey Santos, Juliano César Dias and José Vassallo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Endocrinology.

In The Last Decade

Bruno M. Carvalho

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno M. Carvalho Brazil 17 669 514 231 161 149 32 1.3k
Ana Paula Boroni Moreira Brazil 18 591 0.9× 538 1.0× 265 1.1× 139 0.9× 132 0.9× 39 1.3k
Demin Cai China 26 898 1.3× 386 0.8× 170 0.7× 115 0.7× 90 0.6× 90 1.7k
Hsiao-Li Chuang Taiwan 21 804 1.2× 452 0.9× 260 1.1× 89 0.6× 77 0.5× 53 1.5k
Mohamad Khalil Italy 18 646 1.0× 416 0.8× 247 1.1× 156 1.0× 92 0.6× 56 1.3k
Wan Gu South Korea 9 1.0k 1.6× 522 1.0× 230 1.0× 103 0.6× 142 1.0× 10 1.6k
Andrey Santos Brazil 19 911 1.4× 627 1.2× 292 1.3× 194 1.2× 157 1.1× 46 1.7k
Collin L. Ellis United States 8 634 0.9× 480 0.9× 220 1.0× 148 0.9× 90 0.6× 9 1.2k
Ryuji Ohue‐Kitano Japan 15 834 1.2× 557 1.1× 162 0.7× 203 1.3× 165 1.1× 24 1.4k
Alda Jusceline Leonel Brazil 13 726 1.1× 416 0.8× 137 0.6× 90 0.6× 155 1.0× 17 1.4k
Dioze Guadagnini Brazil 23 799 1.2× 707 1.4× 362 1.6× 219 1.4× 192 1.3× 43 1.7k

Countries citing papers authored by Bruno M. Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Bruno M. Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno M. Carvalho. 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 Bruno M. Carvalho. The network helps show where Bruno M. Carvalho may publish in the future.

Co-authorship network of co-authors of Bruno M. Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno M. Carvalho. A scholar is included among the top collaborators of Bruno M. Carvalho 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 Bruno M. Carvalho. Bruno M. Carvalho 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.
Carvalho, Bruno M., et al.. (2022). Update on the Roles of Oral Hygiene and Plaque Control on Periodontal Disease. Advances in experimental medicine and biology. 1373. 329–339. 10 indexed citations
2.
3.
Zahed, Farrah, et al.. (2021). Production of levan from Bacillus subtilis var. natto and apoptotic effect on SH-SY5Y neuroblastoma cells. Carbohydrate Polymers. 273. 118613–118613. 21 indexed citations
4.
Alves, Luiz Carlos, et al.. (2021). In vitro and in vivo effects of P-MAPA immunomodulator on schistosomiasis. Acta Tropica. 218. 105909–105909. 3 indexed citations
5.
6.
Morais, Clarice Neuenschwander Lins de, et al.. (2020). The P-MAPA Immunomodulator Partially Prevents Apoptosis Induced by Zika Virus Infection in THP-1 Cells. Current Pharmaceutical Biotechnology. 22(4). 514–522. 1 indexed citations
7.
Oliveira, Alisson Macário de, et al.. (2020). Pilosocereus gounellei (Cactaceae) stem extract decreases insulin resistance, inflammation, oxidative stress, and cardio-metabolic risk in diet-induced obese mice. Journal of Ethnopharmacology. 265. 113327–113327. 14 indexed citations
8.
Carvalho, Bruno M., et al.. (2020). Prevalence of Dental Trauma in 1485 Brazilian Adolescents Aged Between 15 and 19 Years Old and Associated Factors.. PubMed. 18(4). 707–712. 2 indexed citations
9.
Oliveira, Alisson Macário de, Magda Rhayanny Assunção Ferreira, Patrícia Maria Guedes Paiva, et al.. (2019). Assessment of 28-day oral toxicity and antipyretic activity of the saline extract from Pilosocereus gounellei (Cactaceae) stem in mice. Journal of Ethnopharmacology. 234. 96–105. 16 indexed citations
10.
Pace, Fernanda de, Bruno M. Carvalho, Tamires M. Zanotto, et al.. (2018). Helminth infection in mice improves insulin sensitivity via modulation of gut microbiota and fatty acid metabolism. Pharmacological Research. 132. 33–46. 41 indexed citations
11.
Carvalho, Bruno M., et al.. (2018). Atorvastatin and diacerein reduce insulin resistance and increase disease tolerance in rats with sepsis. Journal of Inflammation. 15(1). 8–8. 23 indexed citations
12.
Oliveira, Alexandre G., Tiago Gomes Araújo, Bruno M. Carvalho, et al.. (2018). The Role of Hepatocyte Growth Factor (HGF) in Insulin Resistance and Diabetes. Frontiers in Endocrinology. 9. 503–503. 70 indexed citations
13.
Carvalho, Bruno M., Dioze Guadagnini, Daniela Miti Lemos Tsukumo, et al.. (2017). Expression of Concern: Modulation of gut microbiota by antibiotics improves insulin signalling in high-fat fed mice. Diabetologia. 3 indexed citations
14.
Tobar, Natália, Alexandre G. Oliveira, Tiago Gomes Araújo, et al.. (2017). Probiotics modulate gut microbiota and improve insulin sensitivity in DIO mice. The Journal of Nutritional Biochemistry. 50. 16–25. 205 indexed citations
15.
Carvalho, Bruno M., et al.. (2016). Evolution to permanent or transient conditions in children with positive neonatal TSH screening tests in Sergipe, Brazil. Archives of Endocrinology and Metabolism. 60(5). 450–456. 7 indexed citations
16.
Carvalho, Bruno M. & Mário J.A. Saad. (2013). Influence of Gut Microbiota on Subclinical Inflammation and Insulin Resistance. Mediators of Inflammation. 2013. 1–13. 125 indexed citations
17.
Carvalho, Bruno M., Dioze Guadagnini, Daniela Miti Lemos Tsukumo, et al.. (2012). Modulation of gut microbiota by antibiotics improves insulin signalling in high-fat fed mice. Diabetologia. 55(10). 2823–2834. 244 indexed citations
18.
Araújo, Tiago Gomes, et al.. (2011). High-fat diet based on dried bovine brain: an effective animal model of dyslipidemia and insulin resistance. Journal of Physiology and Biochemistry. 67(3). 371–379. 11 indexed citations
19.
Leite, Ana Catarina Rezende, et al.. (2010). Characterization of the Antidiabetic Role of Parkinsonia aculeata (Caesalpineaceae). Evidence-based Complementary and Alternative Medicine. 2011(1). 18 indexed citations
20.
Leite, Ana Catarina Rezende, et al.. (2007). Parkinsonia aculeata aqueous extract fraction: Biochemical studies in alloxan-induced diabetic rats. Journal of Ethnopharmacology. 111(3). 547–552. 37 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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