Gregory C. Addicks
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Muscle Physiology and Disorders
- Epigenetics and DNA Methylation
Papers in
-
- Muscle Physiology and Disorders 5
- Pluripotent Stem Cells Research 2
-
- Toxic Organic Pollutants Impact 2
- Co-authors
- Rui Li (1 shared paper)James A. Thomson (1 shared paper)Xin Chen (1 shared paper)Thomas P. Zwaka (1 shared paper)Ren‐He Xu (1 shared paper)Michael A. Rudnicki (2 shared papers)Fabien Le Grand (1 shared paper)Jeff Ishibashi (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)Nature Biotechnology (1 paper)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)Current Biology (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Gregory C. Addicks
11 papers receiving 1.5k citations
Gregory C. Addicks's Hit Papers
Peers
Comparison fields: 5 of 99
- Aging 44
- Molecular Biology 1.2k
- Obstetrics and Gynecology 85
- Genetics 110
- Cell Biology 148
Countries citing papers authored by Gregory C. Addicks
This map shows the geographic impact of Gregory C. Addicks'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 C. Addicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory C. Addicks more than expected).
Fields of papers citing papers by Gregory C. Addicks
This network shows the impact of papers produced by Gregory C. Addicks. 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 C. Addicks. The network helps show where Gregory C. Addicks may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory C. Addicks, 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 | BMP4 initiates human embryonic stem cell differentiation to trophoblast Hit paper breakdown → | 2002 | 908 |
| 2 | 2007 | 306 | |
| 3 | 2001 | 148 | |
| 4 | 2005 | 57 | |
| 5 | 2023 | 45 | |
| 6 | 2019 | 37 | |
| 7 | 2023 | 33 | |
| 8 | 2021 | 10 | |
| 9 | 2025 | 5 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 1 |
About Gregory C. Addicks
Gregory C. Addicks is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Environmental Chemistry, Genetics and Small Animals, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Pluripotent Stem Cells Research (2 papers), Per- and polyfluoroalkyl substances research (2 papers), Toxic Organic Pollutants Impact (2 papers), Adipose Tissue and Metabolism (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Estrogen and related hormone effects (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Aging (44 citations), Molecular Biology (1.2k citations), Obstetrics and Gynecology (85 citations), Genetics (110 citations) and Cell Biology (148 citations). Gregory C. Addicks has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Rui Li, James A. Thomson, Xin Chen, Thomas P. Zwaka, Ren‐He Xu, Michael A. Rudnicki, Fabien Le Grand, Jeff Ishibashi, Iain W. McKinnell and Jack Greenblatt. Their work appears in journals such as Toxicological Sciences, Nature Biotechnology, The Journal of Cell Biology, Nature Cell Biology and Current 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.