John Blischak
Impact in
- Biophysics top 5%
-
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
Papers in
-
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 3
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 1
- Co-authors
- Yoav Gilad (10 shared papers)Jonathan K. Pritchard (3 shared papers)Po‐Yuan Tung (3 shared papers)Jonathan E. Burnett (3 shared papers)Chiaowen Joyce Hsiao (4 shared papers)David A. Knowles (2 shared papers)Emily Davenport (1 shared paper)Greg Wilson (2 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS Genetics (2 papers)BMC Bioinformatics (1 paper)Genome biology (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
John Blischak
16 papers receiving 751 citations
Peers
Comparison fields: 5 of 115
- Biophysics 48
- Molecular Biology 518
- Cancer Research 85
- Information Systems and Management 41
- Genetics 128
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 | 210 | |
| 2 | 2014 | 189 | |
| 3 | 2016 | 111 | |
| 4 | 2018 | 73 | |
| 5 | 2015 | 48 | |
| 6 | 2020 | 46 | |
| 7 | 2019 | 44 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 8 | |
| 10 | 2016 | 7 | |
| 11 | 2024 | 1 | |
| 12 | 2018 | 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 |
| 15 | 2015 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2018 | 0 |
About John Blischak
John Blischak is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Information Systems and Management and Pathology and Forensic Medicine, having authored 17 papers that have together received 763 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), Tuberculosis Research and Epidemiology (2 papers), Scientific Computing and Data Management (2 papers), Gene Regulatory Network Analysis (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biophysics (48 citations), Molecular Biology (518 citations), Cancer Research (85 citations), Information Systems and Management (41 citations) and Genetics (128 citations). John Blischak has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Yoav Gilad, Jonathan K. Pritchard, Po‐Yuan Tung, Jonathan E. Burnett, Chiaowen Joyce Hsiao, David A. Knowles, Emily Davenport, Greg Wilson, Xun Lan and Bryce van de Geijn. Their work appears in journals such as Scientific Reports, PLoS Genetics, BMC Bioinformatics, Genome biology and G3 Genes Genomes Genetics.
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.