Kenneth Dunner
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Physiology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 3
- RNA Interference and Gene Delivery 3
- Protein Degradation and Inhibitors 2
-
- interferon and immune responses 2
- Co-authors
- Steffan T. Nawrocki (5 shared papers)David J. McConkey (7 shared papers)Peng Huang (5 shared papers)James L. Abbruzzese (3 shared papers)Jennifer S. Carew (3 shared papers)Paul J. Chiao (2 shared papers)Maria Simona Pino (2 shared papers)Ralph A. Highshaw (2 shared papers)
- Journals
- Cancer Research (3 papers)Blood (2 papers)Journal of Clinical Oncology (2 papers)Nature Communications (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Kenneth Dunner
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Cell Biology 362
- Physiology 89
- Dermatology 107
- Molecular Biology 836
- Hematology 105
Countries citing papers authored by Kenneth Dunner
This map shows the geographic impact of Kenneth Dunner'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 Dunner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Dunner more than expected).
Fields of papers citing papers by Kenneth Dunner
This network shows the impact of papers produced by Kenneth Dunner. 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 Dunner. The network helps show where Kenneth Dunner may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Dunner, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 269 | |
| 2 | 2005 | 261 | |
| 3 | 2006 | 200 | |
| 4 | 2013 | 170 | |
| 5 | 2000 | 144 | |
| 6 | 2020 | 143 | |
| 7 | 2010 | 103 | |
| 8 | 2005 | 80 | |
| 9 | 2004 | 73 | |
| 10 | 2015 | 70 | |
| 11 | 2008 | 46 | |
| 12 | 2012 | 41 | |
| 13 | 1990 | 29 | |
| 14 | 2016 | 25 | |
| 15 | 2010 | 15 | |
| 16 | 2012 | 6 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2019 | 1 |
About Kenneth Dunner
Kenneth Dunner is a scholar working on Molecular Biology, Immunology, Cell Biology, Genetics and Epidemiology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Interference and Gene Delivery (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Autophagy in Disease and Therapy (3 papers), Protein Degradation and Inhibitors (2 papers), interferon and immune responses (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Cell Biology (362 citations), Physiology (89 citations), Dermatology (107 citations), Molecular Biology (836 citations) and Hematology (105 citations). Kenneth Dunner has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Steffan T. Nawrocki, David J. McConkey, Peng Huang, James L. Abbruzzese, Jennifer S. Carew, Paul J. Chiao, Maria Simona Pino, Ralph A. Highshaw, Jennifer S. Carew and Lawrence Boise. Their work appears in journals such as Cancer Research, Blood, Journal of Clinical Oncology, Nature Communications and Molecular Cancer Therapeutics.
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.