Greg Slodkowicz
Impact in
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- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Epigenetics and DNA Methylation 1
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- interferon and immune responses 3
- Co-authors
- Rasmus Borup Hansen (1 shared paper)Kristoffer Rapacki (1 shared paper)Nick Goldman (3 shared papers)Taibo Li (1 shared paper)Olga Rigina (1 shared paper)Thomas Jensen (1 shared paper)Heiko Horn (1 shared paper)Rasmus Wernersson (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)PLoS Genetics (1 paper)Nature Methods (1 paper)Cell (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Greg Slodkowicz
10 papers receiving 777 citations
Greg Slodkowicz's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 534
- Genetics 118
- Immunology 76
- Infectious Diseases 64
- Biological Psychiatry 8
Countries citing papers authored by Greg Slodkowicz
This map shows the geographic impact of Greg Slodkowicz'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 Greg Slodkowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Slodkowicz more than expected).
Fields of papers citing papers by Greg Slodkowicz
This network shows the impact of papers produced by Greg Slodkowicz. 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 Greg Slodkowicz. The network helps show where Greg Slodkowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Slodkowicz, 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 | A scored human protein–protein interaction network to catalyze genomic interpretation Hit paper breakdown → | 2016 | 406 |
| 2 | 2020 | 106 | |
| 3 | 2020 | 61 | |
| 4 | 2019 | 61 | |
| 5 | 2018 | 46 | |
| 6 | 2015 | 45 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 8 | |
| 10 | 2025 | 4 |
About Greg Slodkowicz
Greg Slodkowicz is a scholar working on Molecular Biology, Immunology, Genetics, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 10 papers that have together received 783 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Molecular Biology (534 citations), Genetics (118 citations), Immunology (76 citations), Infectious Diseases (64 citations) and Biological Psychiatry (8 citations). Greg Slodkowicz has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Rasmus Borup Hansen, Kristoffer Rapacki, Nick Goldman, Taibo Li, Olga Rigina, Thomas Jensen, Heiko Horn, Rasmus Wernersson, Christopher T. Workman and Søren Brunak. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, PLoS Genetics, Nature Methods and Cell.
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.