Greg Slodkowicz
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Genetics 4
- Evolution and Genetic Dynamics 2
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
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- Receptor Mechanisms and Signaling 1
- Epigenetics and DNA Methylation 1
- RNA and protein synthesis mechanisms 1
- RNA Research and Splicing 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Rasmus Borup Hansen (1 shared paper)Kristoffer Rapacki (1 shared paper)Hans‐Henrik Stærfeldt (1 shared paper)Olga Rigina (1 shared paper)Rasmus Wernersson (1 shared paper)Søren Brunak (1 shared paper)Taibo Li (1 shared paper)Kasper Lage (1 shared paper)
- Journals
- eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)Epigenetics (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Greg Slodkowicz
12 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 572
- Hematology 115
- Genetics 131
- Infectious Diseases 82
- Cancer Research 55
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 | 2016 | 453 | |
| 2 | 2014 | 243 | |
| 3 | 2020 | 122 | |
| 4 | 2020 | 74 | |
| 5 | 2019 | 62 | |
| 6 | 2018 | 51 | |
| 7 | 2015 | 47 | |
| 8 | 2020 | 32 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 8 | |
| 11 | 2025 | 6 | |
| 12 | 2018 | 2 |
About Greg Slodkowicz
Greg Slodkowicz is a scholar working on Genetics, Molecular Biology, Hematology, Infectious Diseases and Immunology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (2 papers), Genomics and Rare Diseases (2 papers), Receptor Mechanisms and Signaling (1 paper), Epigenetics and DNA Methylation (1 paper), RNA and protein synthesis mechanisms (1 paper), RNA Research and Splicing (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (572 citations), Hematology (115 citations), Genetics (131 citations), Infectious Diseases (82 citations) and Cancer Research (55 citations). Greg Slodkowicz has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Rasmus Borup Hansen, Kristoffer Rapacki, Hans‐Henrik Stærfeldt, Olga Rigina, Rasmus Wernersson, Søren Brunak, Taibo Li, Kasper Lage, Thomas Skøt Jensen and Heiko Horn. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Nature Methods, Epigenetics and Nature Communications.
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.