John Blischak
Impact in
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- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Biophysics top 10%
Papers in
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- Scientific Computing and Data Management 3
- Co-authors
- Yoav Gilad (8 shared papers)Jonathan K. Pritchard (3 shared papers)Emily Davenport (1 shared paper)Greg Wilson (1 shared paper)David A. Knowles (2 shared papers)Jonathan E. Burnett (2 shared papers)Po‐Yuan Tung (2 shared papers)Chiaowen Joyce Hsiao (3 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS Genetics (2 papers)Genome biology (1 paper)G3 Genes Genomes Genetics (1 paper)eLife (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
John Blischak
14 papers receiving 790 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 519
- Biophysics 44
- Information Systems and Management 50
- Cancer Research 84
- Genetics 142
Countries citing papers authored by John Blischak
This map shows the geographic impact of John Blischak'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 John Blischak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Blischak more than expected).
Fields of papers citing papers by John Blischak
This network shows the impact of papers produced by John Blischak. 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 John Blischak. The network helps show where John Blischak may publish in the future.
Co-authors
The 25 scholars most cited alongside John Blischak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 225 | |
| 2 | 2014 | 200 | |
| 3 | 2016 | 125 | |
| 4 | 2018 | 78 | |
| 5 | 2015 | 52 | |
| 6 | 2019 | 44 | |
| 7 | 2019 | 42 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 9 | |
| 10 | 2016 | 7 | |
| 11 | 2018 | 1 | |
| 12 | 2024 | 1 | |
| 13 | CRAN Task View: Reproducible Research | 2021 | 1 |
| 14 | A Framework for Reproducible and Collaborative Data Science [R package workflowr version 1.6.2] | 2020 | 1 |
About John Blischak
John Blischak is a scholar working on Information Systems and Management, Immunology, Molecular Biology, Infectious Diseases and Software, having authored 14 papers that have together received 808 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), CRISPR and Genetic Engineering (2 papers), Tuberculosis Research and Epidemiology (2 papers), Single-cell and spatial transcriptomics (2 papers), Software Engineering Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Molecular Biology (519 citations), Biophysics (44 citations), Information Systems and Management (50 citations), Cancer Research (84 citations) and Genetics (142 citations). John Blischak has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Yoav Gilad, Jonathan K. Pritchard, Emily Davenport, Greg Wilson, David A. Knowles, Jonathan E. Burnett, Po‐Yuan Tung, Chiaowen Joyce Hsiao, Xun Lan and Bryce van de Geijn. Their work appears in journals such as Scientific Reports, PLoS Genetics, Genome biology, G3 Genes Genomes Genetics and eLife.
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.