Claudia Pontillo

977 total citations
22 papers, 652 citations indexed

About

Claudia Pontillo is a scholar working on Nephrology, Spectroscopy and Molecular Biology. According to data from OpenAlex, Claudia Pontillo has authored 22 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 5 papers in Spectroscopy and 3 papers in Molecular Biology. Recurrent topics in Claudia Pontillo's work include Chronic Kidney Disease and Diabetes (10 papers), Advanced Proteomics Techniques and Applications (5 papers) and Diabetes Treatment and Management (3 papers). Claudia Pontillo is often cited by papers focused on Chronic Kidney Disease and Diabetes (10 papers), Advanced Proteomics Techniques and Applications (5 papers) and Diabetes Treatment and Management (3 papers). Claudia Pontillo collaborates with scholars based in Germany, United Kingdom and Belgium. Claudia Pontillo's co-authors include Harald Mischak, Antonia Vlahou, Petra Zürbig, William Mullen, Joost P. Schanstra, Alberto Ortíz, Peter Rossing, Szymon K. Filip, Justyna Siwy and Joachim Jankowski and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nephrology Dialysis Transplantation.

In The Last Decade

Claudia Pontillo

20 papers receiving 643 citations

Peers

Claudia Pontillo

NEPHR

SPECT

EDM

SURGE

Laura Gonzalez‐Calero Spain

Martin Pejchinοvski Germany

Benjamin Breuil France

Wanhong Lu China

Ronald Krebs Germany

Concetta Petrini Italy

Igor Golovko Germany

Sebastian Bartel Germany

Sun‐Hee Park South Korea

X. Hu United States

Laura Gonzalez‐Calero Spain

Claudia Pontillo

216 ×0.7

NEPHR

495 ×2.2

87 ×0.5

SPECT

38 ×0.5

EDM

33 ×0.5

SURGE

Citations per year, relative to Claudia Pontillo Claudia Pontillo (= 1×) peers Laura Gonzalez‐Calero

Countries citing papers authored by Claudia Pontillo

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Pontillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Pontillo

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Pontillo. A scholar is included among the top collaborators of Claudia Pontillo 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 Claudia Pontillo. Claudia Pontillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Verbeke, Francis, Justyna Siwy, Wim Van Biesen, et al.. (2019). The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease. Nephrology Dialysis Transplantation. 36(5). 811–818. 28 indexed citations

Rodríguez‐Ortiz, María E., Claudia Pontillo, Mariano Rodríguez, et al.. (2018). Novel Urinary Biomarkers For Improved Prediction Of Progressive eGFR Loss In Early Chronic Kidney Disease Stages And In High Risk Individuals Without Chronic Kidney Disease. Scientific Reports. 8(1). 15940–15940. 48 indexed citations

Magalhães, Pedro, Claudia Pontillo, Martin Pejchinοvski, et al.. (2018). Comparison of Urine and Plasma Peptidome Indicates Selectivity in Renal Peptide Handling. PROTEOMICS - CLINICAL APPLICATIONS. 12(5). e1700163–e1700163. 43 indexed citations

Htun, Nay, Dianna J. Magliano, Zhen‐Yu Zhang, et al.. (2017). Prediction of acute coronary syndromes by urinary proteome analysis. PLoS ONE. 12(3). e0172036–e0172036. 24 indexed citations

Pontillo, Claudia & Harald Mischak. (2017). Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease. Clinical Kidney Journal. 10(2). 192–201. 70 indexed citations

Pejchinοvski, Martin, Claudia Pontillo, Petra Zürbig, et al.. (2017). Urinary peptide biomarker panel associated with an improvement in estimated glomerular filtration rate in chronic kidney disease patients. Nephrology Dialysis Transplantation. 33(5). 751–759. 13 indexed citations

Pejchinοvski, Martin, Claudia Pontillo, Petra Zürbig, et al.. (2017). SO016URINARY PEPTIDE BIOMARKER PANEL ASSOCIATED WITH IMPROVEMENT IN eGFR IN CKD PATIENTS. Nephrology Dialysis Transplantation. 32(suppl_3). iii8–iii9. 1 indexed citations

Lindhardt, Morten, Frederik Persson, Gemma Currie, et al.. (2016). Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy in TYpe 2 diabetic patients with normoalbuminuria (PRIORITY): essential study design and rationale of a randomised clinical multicentre trial. BMJ Open. 6(3). e010310–e010310. 94 indexed citations

Zhang, Zhen‐Yu, Susana Ravassa, Wen‐Yi Yang, et al.. (2016). Diastolic Left Ventricular Function in Relation to Urinary and Serum Collagen Biomarkers in a General Population. PLoS ONE. 11(12). e0167582–e0167582. 24 indexed citations

10.

Krochmal, Magdalena, Marco Fernandes, Szymon K. Filip, et al.. (2016). PeptiCKDdb—peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease. Database. 2016. baw128–baw128. 5 indexed citations

11.

Pontillo, Claudia, Lotte Jacobs, Jan A. Staessen, et al.. (2016). MO026A URINARY PROTEOME-BASED CLASSIFIER FOR THE EARLY DETECTION OF DECLINE IN GLOMERULAR FILTRATION. Nephrology Dialysis Transplantation. 31(suppl_1). i38–i39.

12.

Siwy, Justyna, Petra Zürbig, Àngel Argilés, et al.. (2016). Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis. Nephrology Dialysis Transplantation. 32(12). 2079–2089. 80 indexed citations

13.

Pontillo, Claudia, Lotte Jacobs, Jan A. Staessen, et al.. (2016). A urinary proteome-based classifier for the early detection of decline in glomerular filtration. Nephrology Dialysis Transplantation. 32(9). 1510–1516. 96 indexed citations

14.

Pejchinοvski, Martin, Claudia Pontillo, Petra Zürbig, et al.. (2016). MO024URINARY PEPTIDE BIOMARKERS ASSOCIATED WITH IMPROVEMENT IN eGFR IN CKD PATIENTS. Nephrology Dialysis Transplantation. 31(suppl_1). i38–i38. 1 indexed citations

15.

Pontillo, Claudia, Szymon K. Filip, Daniel Borràs, et al.. (2015). CE‐MS‐based proteomics in biomarker discovery and clinical application. PROTEOMICS - CLINICAL APPLICATIONS. 9(3-4). 322–334. 61 indexed citations

16.

Dakna, Mohammed, Claudia Pontillo, Szymon K. Filip, et al.. (2015). FP227REDUCTION OF THE eGFR EXPRESSED AS PERCENTAGE CHANGE OF THE SLOPE PER YEAR MAY DISCRIMINATE CKD PATIENTS WITH FAST PROGRESSION. Nephrology Dialysis Transplantation. 30(suppl_3). iii142–iii143.

17.

Heinzmann, Silke S., et al.. (2015). FP292NON-TARGETED METABOLOMICS APPROACHES FOR ELUCIDATION OF NOVEL DIAGNOSTIC MARKERS IN CHRONIC KIDNEY DISEASE. Nephrology Dialysis Transplantation. 30(suppl_3). iii164–iii165. 2 indexed citations

18.

Bahlmann, Ferdinand H., et al.. (2015). FP688COMPARISON OF THE COST-EFFECTIVENESS OF THE URINARY BASED CKD273 BIOMARKER PANEL AND CURRENT CLINICAL PRACTICES IN THE MANAGEMENT OF CHRONIC KIDNEY DISEASE PROGRESSION. Nephrology Dialysis Transplantation. 30(suppl_3). iii305–iii305. 4 indexed citations

19.

Pontillo, Claudia, Petra Zürbig, Joost P. Schanstra, et al.. (2015). FP223URINARY PEPTIDE-BASED PREDICTION OF PROGRESSION FROM CHRONIC KIDNEY DISEASE STAGE II TO III. Nephrology Dialysis Transplantation. 30(suppl_3). iii141–iii141. 1 indexed citations

20.

Filip, Szymon K., Claudia Pontillo, Joost P. Schanstra, et al.. (2014). Urinary proteomics and molecular determinants of chronic kidney disease: possible link to proteases. Expert Review of Proteomics. 11(5). 535–548. 21 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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