Daniela Ponce

4.6k total citations
165 papers, 2.3k citations indexed

About

Daniela Ponce is a scholar working on Nephrology, Surgery and Emergency Medical Services. According to data from OpenAlex, Daniela Ponce has authored 165 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Nephrology, 39 papers in Surgery and 30 papers in Emergency Medical Services. Recurrent topics in Daniela Ponce's work include Dialysis and Renal Disease Management (84 papers), Acute Kidney Injury Research (83 papers) and Central Venous Catheters and Hemodialysis (29 papers). Daniela Ponce is often cited by papers focused on Dialysis and Renal Disease Management (84 papers), Acute Kidney Injury Research (83 papers) and Central Venous Catheters and Hemodialysis (29 papers). Daniela Ponce collaborates with scholars based in Brazil, United States and South Africa. Daniela Ponce's co-authors include André Luís Balbi, Cassiana Regina de Góes, Pasqual Barretti, Jacqueline Costa Teixeira Caramori, Brett Cullis, Fredric O. Finkelstein, Luis Cuadrado Martín, Mignon McCulloch, Peter Nourse and Roberto Pecoits‐Filho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daniela Ponce

149 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Ponce Brazil 28 1.6k 587 374 365 262 165 2.3k
André Luís Balbi Brazil 25 1.4k 0.9× 526 0.9× 371 1.0× 153 0.4× 167 0.6× 112 2.0k
Pasqual Barretti Brazil 25 1.2k 0.7× 360 0.6× 119 0.3× 452 1.2× 243 0.9× 137 1.8k
Kamal Sud Australia 26 1.3k 0.8× 377 0.6× 84 0.2× 367 1.0× 340 1.3× 143 2.6k
Jay L. Xue United States 19 2.3k 1.4× 502 0.9× 248 0.7× 359 1.0× 510 1.9× 22 3.6k
Cédric Daubin France 25 565 0.3× 264 0.4× 579 1.5× 316 0.9× 461 1.8× 62 2.0k
Damien du Cheyron France 29 722 0.4× 549 0.9× 558 1.5× 806 2.2× 795 3.0× 82 2.8k
Rümeyza Kazancıoğlu Türkiye 23 786 0.5× 480 0.8× 78 0.2× 280 0.8× 288 1.1× 170 2.5k
Kearkiat Praditpornsilpa Thailand 28 1.1k 0.7× 404 0.7× 88 0.2× 114 0.3× 247 0.9× 176 2.7k
Ekrem Erek Türkiye 21 344 0.2× 1.0k 1.8× 249 0.7× 381 1.0× 350 1.3× 37 1.7k
Kathryn J. Wiggins Australia 32 1.9k 1.2× 555 0.9× 71 0.2× 1.0k 2.8× 365 1.4× 53 2.6k

Countries citing papers authored by Daniela Ponce

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ponce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Ponce. 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 Daniela Ponce. The network helps show where Daniela Ponce may publish in the future.

Co-authorship network of co-authors of Daniela Ponce

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Ponce. A scholar is included among the top collaborators of Daniela Ponce 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 Daniela Ponce. Daniela Ponce 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.
Younes-Ibrahim, Maurício, Eduardo Rocha, Thiago Reis, et al.. (2025). Guidelines for hospital nephrology assistance from the Brazilian Society of Nephrology (BSN). Brazilian Journal of Nephrology. 47(3). e20240239–e20240239.
2.
Balbi, André Luís, et al.. (2024). Drug-induced acute kidney injury: a cohort study on incidence, identification of pathophysiological mechanisms, and prognostic factors. Frontiers in Medicine. 11. 1459170–1459170. 2 indexed citations
3.
Henríquez, Pablo A., et al.. (2023). Population well-being and the COVID-19 vaccination program in Chile: evidence from Google Trends. Public Health. 219. 22–30. 3 indexed citations
4.
Reis, Thiago, Eduardo Rocha, Maurício Younes-Ibrahim, et al.. (2022). Acute kidney injury and renal replacement therapy: terminology standardization. Brazilian Journal of Nephrology. 44(3). 434–442. 3 indexed citations
5.
Reis, Thiago, Eduardo Rocha, Maurício Younes-Ibrahim, et al.. (2022). Injúria renal aguda e métodos de suporte: padronização da nomenclatura. Brazilian Journal of Nephrology. 44(3). 434–442. 1 indexed citations
6.
Ponce, Daniela, Rafael Lima Rodrigues de Carvalho, Heloísa Reniers Vianna, et al.. (2021). Extracorporeal membrane oxygenation outcomes in COVID‐19 patients: Case series from the Brazilian COVID‐19 Registry. Artificial Organs. 46(5). 964–971.
7.
Ponce, Daniela, et al.. (2021). Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach. Scientific Reports. 11(1). 24439–24439. 14 indexed citations
8.
Lima, Rodrigo Moreira e, et al.. (2021). Impact of colloids or crystalloids in renal function assessed by NGAL and KIM-1 after hysterectomy: randomized controlled trial. Brazilian Journal of Anesthesiology (English Edition). 72(6). 720–728. 2 indexed citations
9.
Ponce, Daniela, Cassiana Regina de Góes, & Luís Gustavo Modelli de Andrade. (2020). Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach. Nutrition & Metabolism. 17(1). 9 indexed citations
10.
Ponce, Daniela, et al.. (2020). Acute Kidney Injury: Risk Factors and Management Challenges in Low- and Middle-Income Countries. SHILAP Revista de lepidopterología.
11.
Ponce, Daniela, et al.. (2020). Acute peritoneal dialysis in COVID-19. Peritoneal Dialysis International. 40(4). 359–362. 21 indexed citations
12.
Cullis, Brett, Kajiru Kilonzo, Mignon McCulloch, et al.. (2020). ISPD guidelines for peritoneal dialysis in acute kidney injury: 2020 update (adults). Peritoneal Dialysis International. 41(1). 15–31. 51 indexed citations
13.
14.
Góes, Cassiana Regina de, et al.. (2016). Influence of different dialysis modalities in the measurement of resting energy expenditure in patients with acute kidney injury in ICU. Clinical Nutrition. 36(4). 1170–1174. 10 indexed citations
15.
Balbi, André Luís, et al.. (2014). Dialysis Complications in AKI Patients Treated with Extended Daily Dialysis: Is the Duration of Therapy Important?. BioMed Research International. 2014. 1–9. 7 indexed citations
16.
Ponce, Daniela, et al.. (2010). When is dialysis indicated in acute kidney injury?. Renal Failure. 32(3). 396–400. 7 indexed citations
17.
Ponce, Daniela, et al.. (2008). Influence of Training on the Progression of Peritoneal Dialysis. 30(2). 126–131. 1 indexed citations
18.
Ponce, Daniela, et al.. (2008). Influência do Treinamento na Evolução da Diálise Peritoneal. 30(2). 126–131. 2 indexed citations
19.
Ponce, Daniela, et al.. (2005). Seguimiento farmacoterapéutico deantiparasitarios para pacientes pediátricos de Santa Maria Acuexcomac-México. Pharmacy Practice. 3(3). 150–153. 1 indexed citations
20.
Andrade, Luís Gustavo Modelli de, Daniela Ponce, Luis Cuadrado Martín, et al.. (2005). Sobrevida em hemodiálise no hospital das clínicas da faculdade de medicina de Botucatu Unesp: comparação entre a primeira e a segunda metades da década de 90. 27(1). 1–7. 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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