Joel Skoletsky

2.8k citations
14 papers · 1.8k · 1 hit paper · h-index 10

Impact in

Papers in

Joel Skoletsky

14 papers receiving 1.8k citations

Joel Skoletsky's Hit Papers

Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin 2020 · 297 citations
2970+2+4Years since publication50100150200250

Peers

Joel Skoletsky
Comparison fields: 5 of 106
  • Pathology and Forensic Medicine 459
  • Cancer Research 380
  • Oncology 655
  • Pulmonary and Respiratory Medicine 365
  • Molecular Biology 641
Replace Klaske A. ten Hoor with:
Klaske A. ten Hoor Netherlands
Erika M. Kwon United States
Amy M. Fowler United States
Angelica A. Saetta Greece
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Cindy A. Eads United States
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Luke Hughes‐Davies United Kingdom
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Citations per year

Countries citing papers authored by Joel Skoletsky

Since Specialization
Citations

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

Fields of papers citing papers by Joel Skoletsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joel Skoletsky, 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 Joel Skoletsky Line = papers co-authored together Joel Skoletsky links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2000418
2 1993354
3 2005297
4
Clinical and analytical validation of FoundationOne Liquid CDx, a novel 324-Gene cfDNA-based comprehensive genomic profiling assay for cancers of solid tumor origin
Hit paper breakdown →
2020297
5 2006201
6 199392
7 200462
8 199757
9 199646
10 202212
11 20204
12 19962
13 20251
14 20181

About Joel Skoletsky

Joel Skoletsky is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cystic Fibrosis Research Advances (3 papers), Lung Cancer Treatments and Mutations (3 papers), Colorectal Cancer Screening and Detection (3 papers), Genetic factors in colorectal cancer (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (459 citations), Cancer Research (380 citations), Oncology (655 citations), Pulmonary and Respiratory Medicine (365 citations) and Molecular Biology (641 citations). Joel Skoletsky has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Anthony P. Shuber, Kevin A. Boynton, Jonathan J. Harrington, Douglas W. Mahoney, David A. Ahlquist, William E. Pierceall, Stephen N. Thibodeau, K. Klinger, Robert C. Stern and Richard B. Parad. Their work appears in journals such as Human Molecular Genetics, Prenatal Diagnosis, PLoS ONE, Molecular Oncology and Gastroenterology.

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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