Jeff Settleman
- Oncology top 0.05%
- HER2/EGFR in Cancer Research 10
- Cancer-related Molecular Pathways 9
- Pancreatic and Hepatic Oncology Research 5
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics 7
- Pulmonary and Respiratory Medicine top 0.05%
- Lung Cancer Treatments and Mutations 19
- Molecular Biology top 0.2%
- PI3K/AKT/mTOR signaling in cancer 11
- Melanoma and MAPK Pathways 7
- Epigenetics and DNA Methylation 7
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- Anurag SinghDaniel A. HaberRaffaella SordellaDaphne W. BellBrian W. BranniganRoss A. OkimotoSara M. HaserlatPatricia L. Harris
- Partner nations
- United StatesFranceCanada
In The Last Decade
Jeff Settleman
65 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Oncology 10.8k
- Cancer Research 5.1k
- Pulmonary and Respiratory Medicine 8.5k
- Molecular Biology 10.6k
- Pathology and Forensic Medicine 1.5k
Countries citing papers authored by Jeff Settleman
This map shows the geographic impact of Jeff Settleman'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 Jeff Settleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Settleman more than expected).
Fields of papers citing papers by Jeff Settleman
This network shows the impact of papers produced by Jeff Settleman. 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 Jeff Settleman. The network helps show where Jeff Settleman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Settleman, 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 | 2019 | 37 | |
| 2 | 2017 | 16 | |
| 3 | 2017 | 26 | |
| 4 | 2016 | 83 | |
| 5 | 2015 | 29 | |
| 6 | Transcriptional control of autophagy–lysosome function drives pancreatic cancer metabolismbreakdown → | 2015 | 615 |
| 7 | 2014 | 116 | |
| 8 | 2014 | 55 | |
| 9 | 2014 | 223 | |
| 10 | 2014 | 98 | |
| 11 | Drug Resistance via Feedback Activation of Stat3 in Oncogene-Addicted Cancer Cellsbreakdown → | 2014 | 438 |
| 12 | 2012 | 68 | |
| 13 | 2012 | 222 | |
| 14 | 2011 | 125 | |
| 15 | 2010 | 129 | |
| 16 | 2010 | 441 | |
| 17 | 2009 | 60 | |
| 18 | 2009 | 242 | |
| 19 | 2009 | 363 | |
| 20 | 2003 | 194 |
About Jeff Settleman
Jeff Settleman is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 20.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (19 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), HER2/EGFR in Cancer Research (10 papers), Cancer-related Molecular Pathways (9 papers), Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (7 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Oncology (10.8k citations), Cancer Research (5.1k citations) and Pulmonary and Respiratory Medicine (8.5k citations). Jeff Settleman has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Anurag Singh, Daniel A. Haber, Raffaella Sordella, Daphne W. Bell, Brian W. Brannigan, Ross A. Okimoto, Sara M. Haserlat, Patricia L. Harris, Frank G. Haluska and Jeffrey G. Supko. Their work appears in journals such as Cancer Research, Cancer Cell, Cell, Clinical Cancer Research 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.