Pablo Cingolani

16.0k total citations · 2 hit papers
23 papers, 8.6k citations indexed

About

Pablo Cingolani is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pablo Cingolani has authored 23 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pablo Cingolani's work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). Pablo Cingolani is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers) and Heavy Metal Exposure and Toxicity (3 papers). Pablo Cingolani collaborates with scholars based in United States, Canada and Argentina. Pablo Cingolani's co-authors include Douglas M. Ruden, Susan Land, Xiangyi Lu, Tung Nguyen, Luan Wang, Adrian E. Platts, Viral Patel, Jesús Alcalá‐Fdez, Arko Sen and Marie-Claude Senut and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

Pablo Cingolani

18 papers receiving 8.5k citations

Hit Papers

A program for annotating and predicting the effects of si... 2012 2026 2016 2021 2012 2012 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Cingolani United States 12 3.8k 3.1k 2.0k 999 603 23 8.6k
Tung Nguyen United States 32 3.8k 1.0× 3.0k 1.0× 2.0k 1.0× 992 1.0× 630 1.0× 129 11.1k
Luan Wang China 20 3.7k 1.0× 2.8k 0.9× 2.0k 1.0× 918 0.9× 566 0.9× 63 8.5k
Susan Land United States 31 4.4k 1.2× 3.3k 1.1× 2.0k 1.0× 1.3k 1.3× 629 1.0× 71 10.5k
Manuel A. Rivas United States 5 4.3k 1.1× 3.6k 1.2× 1.0k 0.5× 1.4k 1.4× 314 0.5× 5 8.4k
Thomas Keane United Kingdom 37 6.3k 1.7× 3.0k 1.0× 2.5k 1.2× 886 0.9× 738 1.2× 83 11.4k
John Welsh United States 43 4.5k 1.2× 3.3k 1.1× 2.4k 1.2× 588 0.6× 468 0.8× 124 11.7k
James Bonfield United Kingdom 17 4.8k 1.3× 2.3k 0.8× 2.0k 1.0× 615 0.6× 687 1.1× 19 9.2k
Jared Maguire United States 8 4.5k 1.2× 3.7k 1.2× 1.1k 0.6× 1.5k 1.5× 229 0.4× 8 8.5k
Robert M. Davies United Kingdom 8 3.8k 1.0× 2.0k 0.6× 1.5k 0.7× 569 0.6× 522 0.9× 11 6.9k
Guillermo del Angel United States 8 5.8k 1.5× 4.9k 1.6× 1.6k 0.8× 1.9k 1.9× 364 0.6× 15 11.7k

Countries citing papers authored by Pablo Cingolani

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Cingolani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Cingolani

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Cingolani. A scholar is included among the top collaborators of Pablo Cingolani 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 Pablo Cingolani. Pablo Cingolani 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.
Nuttall, Barrett, Daniel Karl, Kathleen A. Burke, et al.. (2025). Comprehensive comparison of enzymatic and bisulfite DNA methylation analysis in clinically relevant samples. Clinical Epigenetics. 17(1). 156–156.
5.
Burke, Kathleen A., Barrett Nuttall, Daniel Karl, et al.. (2021). Novel Mechanisms of Acalabrutinib Resistance in Patients with Chronic Lymphocytic Leukemia By Whole Genome Methylome Sequencing. Blood. 138(Supplement 1). 4361–4361. 1 indexed citations
7.
Cingolani, Pablo, et al.. (2017). A Bioinformatics-Based Alternative mRNA Splicing Code that May Explain Some Disease Mutations Is Conserved in Animals. Frontiers in Genetics. 8. 38–38. 10 indexed citations
8.
Ahdesmäki, Miika, Brad Chapman, Pablo Cingolani, et al.. (2017). Prioritisation of structural variant calls in cancer genomes. PeerJ. 5. e3166–e3166. 10 indexed citations
9.
Eifert, Cheryl, Angeliki Pantazi, Ruobai Sun, et al.. (2017). Clinical Application of a Cancer Genomic Profiling Assay to Guide Precision Medicine Decisions. Personalized Medicine. 14(4). 309–325. 23 indexed citations
10.
Vuzman, Dana, Ruobai Sun, Cheryl Eifert, et al.. (2017). Tumor mutation burden derived from large NGS panel as biomarker for immunotherapy response.. Journal of Clinical Oncology. 35(15_suppl). e23077–e23077. 4 indexed citations
11.
Sun, Ruobai, Pablo Cingolani, Angeliki Pantazi, et al.. (2017). Germline and somatic SNVS calling in NGS panel tumor samples: Approaches to optimize tumor only genomic analysis for cancer precision medicine.. Journal of Clinical Oncology. 35(15_suppl). e13011–e13011. 1 indexed citations
12.
Sen, Arko, Pablo Cingolani, Marie-Claude Senut, et al.. (2015). Lead exposure induces changes in 5-hydroxymethylcytosine clusters in CpG islands in human embryonic stem cells and umbilical cord blood. Epigenetics. 10(7). 607–621. 47 indexed citations
13.
Sen, Arko, et al.. (2014). Lead Exposure Disrupts Global DNA Methylation in Human Embryonic Stem Cells and Alters Their Neuronal Differentiation. Toxicological Sciences. 139(1). 142–161. 98 indexed citations
14.
Caignard, Grégory, Michael Leney-Greene, Anne Dumaine, et al.. (2013). Genome-Wide Mouse Mutagenesis Reveals CD45-Mediated T Cell Function as Critical in Protective Immunity to HSV-1. PLoS Pathogens. 9(9). e1003637–e1003637. 21 indexed citations
15.
Meunier, Charles, Lauren Van Der Kraak, Claire Turbide, et al.. (2013). Positional Mapping and Candidate Gene Analysis of the Mouse Ccs3 Locus That Regulates Differential Susceptibility to Carcinogen-Induced Colorectal Cancer. PLoS ONE. 8(3). e58733–e58733. 4 indexed citations
16.
Cingolani, Pablo, Xiaoyi Cao, Radhika S. Khetani, et al.. (2013). Intronic Non-CG DNA hydroxymethylation and alternative mRNA splicing in honey bees. BMC Genomics. 14(1). 666–666. 51 indexed citations
17.
Cingolani, Pablo. (2012). Variant Annotation and Functional Prediction: SnpEff. Methods in molecular biology. 2493. 289–314. 82 indexed citations
18.
Cingolani, Pablo, Adrian E. Platts, Tung Nguyen, et al.. (2012). A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff. Fly. 6(2). 80–92. 7344 indexed citations breakdown →
19.
Bongfen, Silayuv E., Joanne Berghout, Pablo Cingolani, et al.. (2012). An N-Ethyl-N-Nitrosourea (ENU)-Induced Dominant Negative Mutation in the JAK3 Kinase Protects against Cerebral Malaria. PLoS ONE. 7(2). e31012–e31012. 19 indexed citations
20.
Cingolani, Pablo, Viral Patel, Tung Nguyen, et al.. (2012). Using Drosophila melanogaster as a Model for Genotoxic Chemical Mutational Studies with a New Program, SnpSift. Frontiers in Genetics. 3. 35–35. 624 indexed citations breakdown →

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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