Kenneth N. Ross
Impact in
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
Papers in
- Co-authors
- Todd R. GolubEric S. LanderJustin LambPhillip G. FebboD. D. PeckHaley HieronymusEmily CrawfordSteven A. Carr
- Journals
- Cancer Cell (5 papers)Blood (5 papers)Proceedings of the National Academy of Sciences (4 papers)Cancer Research (3 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesArgentinaGermany
In The Last Decade
Kenneth N. Ross
59 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cancer Research 1.7k
- Molecular Biology 7.2k
- Computational Theory and Mathematics 1.4k
- Geriatrics and Gerontology 220
- Pulmonary and Respiratory Medicine 1.8k
Countries citing papers authored by Kenneth N. Ross
This map shows the geographic impact of Kenneth N. Ross'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 Kenneth N. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth N. Ross more than expected).
Fields of papers citing papers by Kenneth N. Ross
This network shows the impact of papers produced by Kenneth N. Ross. 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 Kenneth N. Ross. The network helps show where Kenneth N. Ross may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth N. Ross, 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 | 2025 | 0 | |
| 2 | 2023 | 24 | |
| 3 | 2021 | 16 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 37 | |
| 6 | 2017 | 19 | |
| 7 | 2017 | 30 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 74 | |
| 10 | 2016 | 144 | |
| 11 | 2015 | 168 | |
| 12 | 2015 | 17 | |
| 13 | 2015 | 125 | |
| 14 | Transcriptional control of autophagy–lysosome function drives pancreatic cancer metabolism Hit paper breakdown → | 2015 | 615 |
| 15 | 2013 | 85 | |
| 16 | 2012 | 85 | |
| 17 | 2009 | 120 | |
| 18 | 2008 | 21 | |
| 19 | Hidden Markov Models for Threat Prediction Fusion. | 2000 | 1 |
| 20 | A dynamical system model for generating F0 for synthesis. | 1994 | 12 |
About Kenneth N. Ross
Kenneth N. Ross is a scholar working on Geriatrics and Gerontology, Cancer Research, Molecular Biology, Cell Biology and Oncology, having authored 60 papers that have together received 10.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (10 papers), Histone Deacetylase Inhibitors Research (6 papers), Neuroblastoma Research and Treatments (5 papers), Genomics and Chromatin Dynamics (5 papers), Speech Recognition and Synthesis (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Phonetics and Phonology Research (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (7.2k citations), Computational Theory and Mathematics (1.4k citations), Geriatrics and Gerontology (220 citations) and Pulmonary and Respiratory Medicine (1.8k citations). Kenneth N. Ross has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Todd R. Golub, Eric S. Lander, Justin Lamb, Phillip G. Febbo, D. D. Peck, Haley Hieronymus, Emily Crawford, Steven A. Carr, Stephen J. Haggarty and Scott A. Armstrong. Their work appears in journals such as Cancer Cell, Blood, Proceedings of the National Academy of Sciences, Cancer Research and Journal of Clinical Investigation.
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.