Kenneth Dunner
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Physiology top 5%
Papers in
-
- RNA Interference and Gene Delivery 3
- Ubiquitin and proteasome pathways 3
- Advanced biosensing and bioanalysis techniques 2
- Protein Degradation and Inhibitors 2
- Co-authors
- David J. McConkey (7 shared papers)Peng Huang (5 shared papers)Steffan T. Nawrocki (5 shared papers)James L. Abbruzzese (3 shared papers)Jennifer S. Carew (3 shared papers)Paul J. Chiao (2 shared papers)Ralph A. Highshaw (2 shared papers)Jennifer S. Carew (2 shared papers)
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Blood (2 papers)Molecular Cancer Therapeutics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFinlandAustria
In The Last Decade
Kenneth Dunner
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Cell Biology 386
- Physiology 92
- Molecular Biology 866
- Dermatology 89
- Hematology 106
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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 260 | |
| 2 | 2005 | 253 | |
| 3 | 2006 | 193 | |
| 4 | 2013 | 166 | |
| 5 | 2020 | 127 | |
| 6 | 2000 | 116 | |
| 7 | 2010 | 84 | |
| 8 | 2005 | 79 | |
| 9 | 2004 | 72 | |
| 10 | 2015 | 69 | |
| 11 | 2008 | 45 | |
| 12 | 2012 | 36 | |
| 13 | 2016 | 25 | |
| 14 | 2010 | 15 | |
| 15 | 2012 | 5 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 1998 | 1 |
About Kenneth Dunner
Kenneth Dunner is a scholar working on Molecular Biology, Immunology, Genetics, Epidemiology and Cell Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), RNA Interference and Gene Delivery (3 papers), Ubiquitin and proteasome pathways (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (386 citations), Physiology (92 citations), Molecular Biology (866 citations), Dermatology (89 citations) and Hematology (106 citations). Kenneth Dunner has collaborated with scholars based in United States, Finland and Austria. Frequent co-authors include David J. McConkey, Peng Huang, Steffan T. Nawrocki, James L. Abbruzzese, Jennifer S. Carew, Paul J. Chiao, Ralph A. Highshaw, Jennifer S. Carew, Maria Simona Pino and Lawrence Boise. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Blood, Molecular Cancer Therapeutics and Nature Communications.
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.