V. de Souza

1.7k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

V. de Souza is a scholar working on Nephrology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, V. de Souza has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nephrology, 10 papers in Pediatrics, Perinatology and Child Health and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in V. de Souza's work include Chronic Kidney Disease and Diabetes (18 papers), Dialysis and Renal Disease Management (13 papers) and Renal Transplantation Outcomes and Treatments (7 papers). V. de Souza is often cited by papers focused on Chronic Kidney Disease and Diabetes (18 papers), Dialysis and Renal Disease Management (13 papers) and Renal Transplantation Outcomes and Treatments (7 papers). V. de Souza collaborates with scholars based in Brazil, France and United States. V. de Souza's co-authors include Luciano da Silva Selistre, Laurence Dubourg, Hans Pottel, Pierre Cochat, Bruno Ranchin, Liesbeth Hoste, Frank Martens, Aoumeur Hadj‐Aïssa, Elke Schäeffner and Andrew D. Rule and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

V. de Souza

30 papers receiving 1.1k citations

Hit Papers

An estimated glomerular filtration rate equation for the ... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. de Souza Brazil 14 772 232 189 136 121 36 1.2k
Else Randers Denmark 14 814 1.1× 105 0.5× 179 0.9× 108 0.8× 89 0.7× 31 1.1k
Inga Soveri Sweden 16 757 1.0× 156 0.7× 249 1.3× 103 0.8× 224 1.9× 30 1.4k
Jae Hyun Chang South Korea 22 851 1.1× 68 0.3× 269 1.4× 144 1.1× 243 2.0× 84 1.4k
Ji Yong Jung South Korea 19 602 0.8× 50 0.2× 222 1.2× 126 0.9× 184 1.5× 92 1.1k
Stefano Picca Italy 18 481 0.6× 291 1.3× 325 1.7× 122 0.9× 192 1.6× 38 1.2k
Nadia Stucchi Italy 10 473 0.6× 79 0.3× 110 0.6× 69 0.5× 187 1.5× 16 869
Wasiu A. Olowu Nigeria 12 659 0.9× 129 0.6× 142 0.8× 132 1.0× 151 1.2× 38 1.3k
Cherry Mammen Canada 15 817 1.1× 225 1.0× 289 1.5× 154 1.1× 171 1.4× 50 1.1k
Sten-Erik Bäck Sweden 9 637 0.8× 130 0.6× 157 0.8× 57 0.4× 69 0.6× 11 918
Shina Menon United States 18 727 0.9× 150 0.6× 224 1.2× 182 1.3× 196 1.6× 71 1.0k

Countries citing papers authored by V. de Souza

Since Specialization
Citations

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

Fields of papers citing papers by V. de Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. de Souza. 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 V. de Souza. The network helps show where V. de Souza may publish in the future.

Co-authorship network of co-authors of V. de Souza

This figure shows the co-authorship network connecting the top 25 collaborators of V. de Souza. A scholar is included among the top collaborators of V. de Souza 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 V. de Souza. V. de Souza 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
3.
Araújo, Breno Fauth de, et al.. (2024). Assessing the prognostic impact of KDIGO criteria on acute kidney injury in very low birth weight infants: a critical insight. SHILAP Revista de lepidopterología. 28(3). 116–123. 2 indexed citations
4.
Souza, V. de, et al.. (2023). Pediatric kidney transplantation: outcomes with under and over 6-year-old donors. Jornal de Pediatria. 100(1). 67–73. 1 indexed citations
5.
Selistre, Luciano da Silva, et al.. (2023). Average creatinine–urea clearance: revival of an old analytical technique?. Clinical Kidney Journal. 16(8). 1298–1306. 2 indexed citations
6.
Souza, V. de, et al.. (2023). Epidemiological profile of congenital hypothyroidism at a southern Brazilian state. Archives of Endocrinology and Metabolism. 67(4). e000606–e000606.
7.
Souza, V. de, et al.. (2022). Follow-up do desenvolvimento motor de prematuros. Revista de Ciências Médicas e Biológicas. 21(1). 46–52. 1 indexed citations
8.
Selistre, Luciano da Silva, C. Rénard, Justine Bacchetta, et al.. (2021). Teenagers and young adults with a past of allogenic hematopoietic stem cell transplantation are at significant risk of chronic kidney disease. Pediatric Nephrology. 37(6). 1365–1375. 1 indexed citations
9.
Pottel, Hans, Liesbeth Hoste, Laurence Dubourg, et al.. (2016). An estimated glomerular filtration rate equation for the full age spectrum. Nephrology Dialysis Transplantation. 31(5). 798–806. 322 indexed citations breakdown →
10.
Souza, V. de, Muriel Rabilloud, Pierre Cochat, et al.. (2016). Trajectories and Predictors of Allograft Dysfunction after Renal Transplantation in Children. American Journal of Nephrology. 45(1). 63–68. 4 indexed citations
11.
Pottel, Hans, Pierre Delanaye, Elke Schäeffner, et al.. (2016). Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C. Nephrology Dialysis Transplantation. 32(3). 497–507. 176 indexed citations
12.
Allard, Lise, Pierre Cochat, François Cachat, et al.. (2015). Renal function can be impaired in children with primary hyperoxaluria type 3. Pediatric Nephrology. 30(10). 1807–1813. 36 indexed citations
13.
Souza, V. de, Hans Pottel, Liesbeth Hoste, et al.. (2015). Can the height-independent Pottel eGFR equation be used as a screening tool for chronic kidney disease in children?. European Journal of Pediatrics. 174(9). 1225–1235. 13 indexed citations
14.
Selistre, Luciano da Silva, et al.. (2015). Contrast-induced nephropathy after computed tomography. Brazilian Journal of Nephrology. 37(1). 27–31. 21 indexed citations
15.
Souza, V. de, et al.. (2015). Exposição por chumbo dos profissionais de segurança pública na região de Cascavel-PR. SHILAP Revista de lepidopterología. 10(2). 47–47.
16.
Lemoine, Sandrine, V. de Souza, Bruno Ranchin, et al.. (2014). PRACTICABILITY AND PERFORMANCE OF AN ADAPTED HEIGHT-INDEPENDENT GFR PREDICTING EQUATION IN CHILDREN. Nephrology Dialysis Transplantation. 29. 569–569. 1 indexed citations
17.
Hoste, Liesbeth, Laurence Dubourg, Luciano da Silva Selistre, et al.. (2013). A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrology Dialysis Transplantation. 29(5). 1082–1091. 126 indexed citations
18.
Souza, V. de, Aoumeur Hadj‐Aïssa, Muriel Rabilloud, et al.. (2013). Creatinine- versus cystatine C-based equations in assessing the renal function of candidates for liver transplantation with cirrhosis. Hepatology. 59(4). 1522–1531. 93 indexed citations
19.
Souza, V. de, Muriel Rabilloud, Pierre Cochat, et al.. (2012). Schwartz Formula: Is One k-Coefficient Adequate for All Children?. PLoS ONE. 7(12). e53439–e53439. 80 indexed citations
20.
Selistre, Luciano da Silva, V. de Souza, Pierre Cochat, et al.. (2012). GFR Estimation in Adolescents and Young Adults. Journal of the American Society of Nephrology. 23(6). 989–996. 65 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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