John E. Gorzynski
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Genetics top 10%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
Papers in
- Genetics 9
- Genomics and Rare Diseases 7
- Genetic Associations and Epidemiology 3
- Genomic variations and chromosomal abnormalities 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Ila R Singh (1 shared paper)Leda Bassit (1 shared paper)Raymond F. Schinazi (1 shared paper)Maria Nattestad (1 shared paper)Daniel E. Cook (1 shared paper)Euan Angus Ashley (2 shared papers)Alexey Kolesnikov (1 shared paper)Pi-Chuan Chang (1 shared paper)
- Journals
- Nature Communications (3 papers)Nature (2 papers)Neuron (1 paper)Genome biology (1 paper)Circulation (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John E. Gorzynski
12 papers receiving 984 citations
John E. Gorzynski's Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 317
- Genetics 269
- Immunology 168
- Neurology 78
- Cancer Research 67
Countries citing papers authored by John E. Gorzynski
This map shows the geographic impact of John E. Gorzynski'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 E. Gorzynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Gorzynski more than expected).
Fields of papers citing papers by John E. Gorzynski
This network shows the impact of papers produced by John E. Gorzynski. 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 E. Gorzynski. The network helps show where John E. Gorzynski may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Gorzynski, 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 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | 2022 | 136 | |
| 3 | 2023 | 72 | |
| 4 | 2022 | 69 | |
| 5 | 2010 | 43 | |
| 6 | 2024 | 30 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2026 | 0 |
About John E. Gorzynski
John E. Gorzynski is a scholar working on Genetics, Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology and Paleontology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic Associations and Epidemiology (3 papers), Molecular Biology Techniques and Applications (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Infectious Diseases (317 citations), Genetics (269 citations), Immunology (168 citations), Neurology (78 citations) and Cancer Research (67 citations). John E. Gorzynski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ila R Singh, Leda Bassit, Raymond F. Schinazi, Maria Nattestad, Daniel E. Cook, Euan Angus Ashley, Alexey Kolesnikov, Pi-Chuan Chang, Sneha D. Goenka and Karen H. Miga. Their work appears in journals such as Nature Communications, Nature, Neuron, Genome biology and Circulation.
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.