Kenneth E. Huffman
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Aging top 2%
Papers in ⓘ
- Aging 1
-
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Jerry W. Shay (3 shared papers)David R. Corey (6 shared papers)Stephen D. Levene (3 shared papers)Valerie M. Tesmer (2 shared papers)Woodring E. Wright (2 shared papers)John D. Minna (20 shared papers)Rosalyn Ram (4 shared papers)Bethany A. Janowski (4 shared papers)
- Journals
- Cancer Research (6 papers)Nature Chemical Biology (3 papers)Cell Metabolism (2 papers)Cell Reports (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Kenneth E. Huffman
32 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 1.0k
- Aging 104
- Molecular Biology 2.8k
- Physiology 534
- Oncology 431
Countries citing papers authored by Kenneth E. Huffman
This map shows the geographic impact of Kenneth E. Huffman'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 E. Huffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth E. Huffman more than expected).
Fields of papers citing papers by Kenneth E. Huffman
This network shows the impact of papers produced by Kenneth E. Huffman. 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 E. Huffman. The network helps show where Kenneth E. Huffman may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth E. Huffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Normal human chromosomes have long G-rich telomeric overhangs at one end Hit paper breakdown → | 1997 | 586 |
| 2 | NRF2 regulates serine biosynthesis in non–small cell lung cancer Hit paper breakdown → | 2015 | 560 |
| 3 | 2007 | 406 | |
| 4 | 2006 | 264 | |
| 5 | 2016 | 239 | |
| 6 | 2000 | 203 | |
| 7 | 2005 | 141 | |
| 8 | 2005 | 131 | |
| 9 | 1998 | 129 | |
| 10 | 2018 | 123 | |
| 11 | 2014 | 102 | |
| 12 | 2020 | 92 | |
| 13 | 2018 | 77 | |
| 14 | 2016 | 73 | |
| 15 | 2016 | 59 | |
| 16 | 2021 | 56 | |
| 17 | 2004 | 55 | |
| 18 | 2016 | 47 | |
| 19 | 2015 | 39 | |
| 20 | 2015 | 37 |
About Kenneth E. Huffman
Kenneth E. Huffman is a scholar working on Aging, Cancer Research, Oncology, Molecular Biology and Biochemistry, having authored 32 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Lung Cancer Research Studies (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Lung Cancer Treatments and Mutations (3 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (104 citations), Molecular Biology (2.8k citations), Physiology (534 citations) and Oncology (431 citations). Kenneth E. Huffman has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jerry W. Shay, David R. Corey, Stephen D. Levene, Valerie M. Tesmer, Woodring E. Wright, John D. Minna, Rosalyn Ram, Bethany A. Janowski, Daniel B. Hardy and Ralph J. DeBerardinis. Their work appears in journals such as Cancer Research, Nature Chemical Biology, Cell Metabolism, Cell Reports and Breast Cancer Research and Treatment.
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.