Gregory Riddick
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 3
- Gene expression and cancer classification 2
- RNA Research and Splicing 2
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Howard A. Fine (8 shared papers)Ian G. Macara (1 shared paper)Jennifer Walling (5 shared papers)Hua Song (4 shared papers)Susie Ahn (4 shared papers)Wei Zhang (1 shared paper)Diego Borges-Rivera (1 shared paper)Svetlana Kotliarova (5 shared papers)
- Journals
- PLoS ONE (3 papers)Bioinformatics (1 paper)The Pharmacogenomics Journal (1 paper)Frontiers in Immunology (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Gregory Riddick
16 papers receiving 713 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 156
- Genetics 107
- Molecular Biology 501
- Computational Theory and Mathematics 81
- Oncology 71
Countries citing papers authored by Gregory Riddick
This map shows the geographic impact of Gregory Riddick'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 Gregory Riddick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Riddick more than expected).
Fields of papers citing papers by Gregory Riddick
This network shows the impact of papers produced by Gregory Riddick. 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 Gregory Riddick. The network helps show where Gregory Riddick may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Riddick, 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 | 2010 | 133 | |
| 2 | 2005 | 99 | |
| 3 | 2012 | 95 | |
| 4 | 2003 | 87 | |
| 5 | 2011 | 86 | |
| 6 | 2013 | 70 | |
| 7 | 2015 | 37 | |
| 8 | 2014 | 35 | |
| 9 | 2014 | 29 | |
| 10 | 2017 | 22 | |
| 11 | 2006 | 14 | |
| 12 | 2013 | 7 | |
| 13 | 2014 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 0 |
About Gregory Riddick
Gregory Riddick is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 724 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Glioma Diagnosis and Treatment (6 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers), Gene expression and cancer classification (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (156 citations), Genetics (107 citations), Molecular Biology (501 citations), Computational Theory and Mathematics (81 citations) and Oncology (71 citations). Gregory Riddick has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Howard A. Fine, Ian G. Macara, Jennifer Walling, Hua Song, Susie Ahn, Wei Zhang, Diego Borges-Rivera, Svetlana Kotliarova, Mehmet Baysan and Gary Felsenfeld. Their work appears in journals such as PLoS ONE, Bioinformatics, The Pharmacogenomics Journal, Frontiers in Immunology and Genome biology.
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.