Joíza Lins Camargo

2.0k total citations
53 papers, 1.3k citations indexed

About

Joíza Lins Camargo is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Surgery. According to data from OpenAlex, Joíza Lins Camargo has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Nephrology and 7 papers in Surgery. Recurrent topics in Joíza Lins Camargo's work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Management and Research (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Joíza Lins Camargo is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Diabetes Management and Research (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Joíza Lins Camargo collaborates with scholars based in Brazil, United States and Russia. Joíza Lins Camargo's co-authors include Jorge Luiz Gross, Priscila Aparecida Corrêa Freitas, Ana Laura Pimentel, Sandra Pinho Silveiro, Mirela Jobim de Azevedo, Themis Zelmanovitz, Ariana Aguiar Soares, Letícia Schwerz Weinert, Magda Susana Perassolo and A. Reichelt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Joíza Lins Camargo

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joíza Lins Camargo Brazil 22 515 259 186 178 155 53 1.3k
Cristina Bianchi Italy 23 819 1.6× 441 1.7× 63 0.3× 378 2.1× 215 1.4× 96 1.7k
Zhonglin Chai Australia 20 349 0.7× 123 0.5× 177 1.0× 365 2.1× 32 0.2× 52 1.6k
Zehra Serdar Türkiye 21 139 0.3× 169 0.7× 38 0.2× 163 0.9× 175 1.1× 71 1.3k
Juan Camilo Arjona Ferreira United States 21 766 1.5× 425 1.6× 32 0.2× 335 1.9× 245 1.6× 53 2.1k
William E. Owen United States 17 296 0.6× 87 0.3× 53 0.3× 210 1.2× 34 0.2× 40 929
Fang Ma China 19 138 0.3× 73 0.3× 96 0.5× 313 1.8× 50 0.3× 65 1.2k
Jan Wysocki United States 28 1.1k 2.1× 237 0.9× 310 1.7× 619 3.5× 144 0.9× 66 3.1k
Stéphanie Badiou France 23 141 0.3× 227 0.9× 232 1.2× 236 1.3× 19 0.1× 112 1.4k
İbrahim Ünsal Türkiye 22 138 0.3× 225 0.9× 83 0.4× 221 1.2× 46 0.3× 70 1.4k

Countries citing papers authored by Joíza Lins Camargo

Since Specialization
Citations

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

Fields of papers citing papers by Joíza Lins Camargo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joíza Lins Camargo. 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 Joíza Lins Camargo. The network helps show where Joíza Lins Camargo may publish in the future.

Co-authorship network of co-authors of Joíza Lins Camargo

This figure shows the co-authorship network connecting the top 25 collaborators of Joíza Lins Camargo. A scholar is included among the top collaborators of Joíza Lins Camargo 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 Joíza Lins Camargo. Joíza Lins Camargo 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.
Camargo, Joíza Lins, et al.. (2023). Diabetes associates with mortality in critically ill patients with SARS-CoV-2 pneumonia: No diabetes paradox in COVID-19. Heliyon. 9(8). e18554–e18554. 2 indexed citations
2.
Dieter, Cristine, Letícia de Almeida Brondani, Natália Emerim Lemos, et al.. (2022). Polymorphisms in ACE1, TMPRSS2, IFIH1, IFNAR2, and TYK2 Genes Are Associated with Worse Clinical Outcomes in COVID-19. Genes. 14(1). 29–29. 27 indexed citations
3.
Camargo, Eduardo Guimarães, et al.. (2018). Combined creatinine-cystatin C CKD-EPI equation significantly underestimates measured glomerular filtration rate in people with type 2 diabetes mellitus. Clinical Biochemistry. 53. 43–48. 10 indexed citations
4.
Silveiro, Sandra Pinho, et al.. (2017). Efeito da calibração da creatinina sobre a estimativa da taxa de filtração glomerular pela equação MDRD. SHILAP Revista de lepidopterología.
5.
Pimentel, Ana Laura & Joíza Lins Camargo. (2017). Variability of glycated hemoglobin levels in the first year post renal transplantation in patients without diabetes. Clinical Biochemistry. 50(18). 997–1001. 3 indexed citations
6.
Soares, Ariana Aguiar, et al.. (2017). Influence of age, gender and body mass index on late-night salivary cortisol in healthy adults. Clinical Chemistry and Laboratory Medicine (CCLM). 55(12). 1954–1961. 16 indexed citations
7.
Pimentel, Ana Laura, Andréa Carla Bauer, & Joíza Lins Camargo. (2015). Renal posttransplantation diabetes mellitus: An overview. Clinica Chimica Acta. 450. 327–332. 7 indexed citations
8.
Weinert, Letícia Schwerz, et al.. (2015). HbA1c Test as a Tool in the Diagnosis of Gestational Diabetes Mellitus. PLoS ONE. 10(8). e0135989–e0135989. 52 indexed citations
9.
Pimentel, Ana Laura, et al.. (2015). Effect of iron deficiency anaemia on HbA1c levels is dependent on the degree of anaemia. Clinical Biochemistry. 49(1-2). 117–120. 41 indexed citations
10.
11.
Soares, Ariana Aguiar, et al.. (2013). Low rates of automatic reporting of estimated glomerular filtration rate in Southern Brazilian laboratories. Clinical Biochemistry. 46(16-17). 1709–1712. 1 indexed citations
12.
Viana, Luciana Verçoza, et al.. (2012). Prediction of cardiovascular events, diabetic nephropathy, and mortality by albumin concentration in a spot urine sample in patients with type 2 diabetes. Journal of Diabetes and its Complications. 26(5). 407–412. 30 indexed citations
13.
Gross, Jorge Luiz, et al.. (2011). HbA1C, Glicemia de Jejum e Teste Oral de Tolerância à Glicose no Diagnóstico de Diabetes: Que Teste Usar?. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Comerlato, Juliana, et al.. (2010). HbA1c measurement for the diagnosis of diabetes: is it enough?. Diabetic Medicine. 28(1). 31–35. 41 indexed citations
15.
Moriguchi, Emílio Hideyuki, et al.. (2009). Impact of metabolic syndrome and C-reactive protein on outcome after coronary stenting. Journal of Endocrinological Investigation. 32(4). 383–386. 8 indexed citations
16.
Soares, Ariana Aguiar, et al.. (2009). Glomerular filtration rate measurement and prediction equations. Clinical Chemistry and Laboratory Medicine (CCLM). 47(9). 1023–32. 72 indexed citations
17.
Camargo, Joíza Lins, et al.. (2007). Avaliação da filtração glomerular através da medida da cistatina C sérica. Americanae (AECID Library). 29(1). 48–55. 3 indexed citations
18.
Camargo, Joíza Lins, et al.. (2006). The effect of aspirin and vitamins C and E on HbA1c assays. Clinica Chimica Acta. 372(1-2). 206–209. 31 indexed citations
19.
Perassolo, Magda Susana, Jussara Carnevale de Almeida, Vanessa D. de Mello, et al.. (2003). Fatty Acid Composition of Serum Lipid Fractions in Type 2 Diabetic Patients With Microalbuminuria. Diabetes Care. 26(3). 613–618. 41 indexed citations
20.
Zhang, Linjie, Klaus Irion, Harry P. Kozakewich, et al.. (2000). Clinical course of postinfectious bronchiolitis obliterans. Pediatric Pulmonology. 29(5). 341–350. 86 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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