Pablo Cingolani

16.0k citations
23 papers · 8.6k indexed · 2 hit papers · h-index 12

Pablo Cingolani

18 papers receiving 8.5k citations

Hit Papers

A program for annotating and predicting the effects of si...7.3k20122026201620212.0k4.0k6.0k

Peers

Pablo Cingolani
Comparison fields: 5 of 172
  • Genetics 3.1k
  • Cancer Research 999
  • Horticulture 53
  • Molecular Biology 3.8k
  • Plant Science 2.0k
Replace Tung Nguyen with:
Tung Nguyen United States
Luan Wang China
Susan Land United States
Thomas Keane United Kingdom
James Bonfield United Kingdom
Ioana Cutcutache Singapore
Yingrui Li China
Huanming Yang China
Jun Yu China
Robert M. Davies United Kingdom
Pablo Cingolani relative to Tung Nguyen United States Tung Nguyen's profile →
Citations per field
00.5×1.5×
Tung Nguyen · 1×
Citations per year

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

The 25 scholars most cited alongside Pablo Cingolani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pablo Cingolani Line = papers co-authored together Pablo Cingolani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20220
4 20220
5 20211
6 20200
7 201710
8 201710
9 201723
10 20174
11 20171
12 201547
13 201498
14 201321
15 20134
16 201351
17 201282
18
A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEffbreakdown →
20127344
19 201219
20
Using Drosophila melanogaster as a Model for Genotoxic Chemical Mutational Studies with a New Program, SnpSiftbreakdown →
2012624

About Pablo Cingolani

Pablo Cingolani is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Virology, Molecular Biology and Pathology and Forensic Medicine, having authored 23 papers that have together received 8.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers), Heavy Metal Exposure and Toxicity (3 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (3 papers), Genomics and Phylogenetic Studies (3 papers), Abdominal Surgery and Complications (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Genetics (3.1k citations), Cancer Research (999 citations), Horticulture (53 citations), Molecular Biology (3.8k citations) and Plant Science (2.0k citations). Pablo Cingolani has collaborated with scholars based in United States, Canada and Argentina. Frequent 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. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Genetics, PLoS ONE, Clinical Epigenetics and Bioinformatics.

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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