Faison Nuckolls
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 2
- DNA Repair Mechanisms 1
- Melanoma and MAPK Pathways 1
- Oncology 7
- Cancer-related Molecular Pathways 7
- Co-authors
- Joseph R. Nevins (7 shared papers)Rosalie C. Sears (6 shared papers)Katsuyuki Tamai (1 shared paper)Eric B. Haura (1 shared paper)Yoichi Taya (1 shared paper)Gustavo Leone (4 shared papers)Lizhao Wu (2 shared papers)Seth J. Field (2 shared papers)
- Journals
- Molecular and Cellular Biology (4 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Cell (1 paper)Genes & Development (1 paper)Nature (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Faison Nuckolls
9 papers receiving 2.1k citations
Faison Nuckolls's Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 885
- Cancer Research 348
- Molecular Biology 1.6k
- Cell Biology 231
- Hematology 80
Countries citing papers authored by Faison Nuckolls
This map shows the geographic impact of Faison Nuckolls'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 Faison Nuckolls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faison Nuckolls more than expected).
Fields of papers citing papers by Faison Nuckolls
This network shows the impact of papers produced by Faison Nuckolls. 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 Faison Nuckolls. The network helps show where Faison Nuckolls may publish in the future.
Co-authors
The 25 scholars most cited alongside Faison Nuckolls, 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 | Multiple Ras-dependent phosphorylation pathways regulate Myc protein stability Hit paper breakdown → | 2000 | 1041 |
| 2 | 2001 | 499 | |
| 3 | 2001 | 209 | |
| 4 | 2000 | 149 | |
| 5 | 2000 | 116 | |
| 6 | Cyclin-dependent kinase activation and S-phase induction of the cyclin B1 gene are linked through the CCAAT elements. | 1997 | 72 |
| 7 | 1998 | 7 | |
| 8 | 2000 | 4 | |
| 9 | 2000 | 2 |
About Faison Nuckolls
Faison Nuckolls is a scholar working on Molecular Biology, Oncology, Ophthalmology, Cell Biology and Biotechnology, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Research and Treatments (1 paper), DNA Repair Mechanisms (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (885 citations), Cancer Research (348 citations), Molecular Biology (1.6k citations), Cell Biology (231 citations) and Hematology (80 citations). Faison Nuckolls has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joseph R. Nevins, Rosalie C. Sears, Katsuyuki Tamai, Eric B. Haura, Yoichi Taya, Gustavo Leone, Lizhao Wu, Seth J. Field, Michael E. Greenberg and Paloma H. Giangrande. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Molecular Cell, Genes & Development and Nature.
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.