David Cerna
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 5
- DNA Repair Mechanisms 5
- Histone Deacetylase Inhibitors Research 3
- Genomics and Chromatin Dynamics 2
- Oncology 6
- PARP inhibition in cancer therapy 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Kevin Camphausen (7 shared papers)Philip J. Tofilon (7 shared papers)William Burgan (6 shared papers)C. Norman Coleman (8 shared papers)Sanjeewani T. Palayoor (7 shared papers)Molykutty John‐Aryankalayil (6 shared papers)Michael Cerra (2 shared papers)David K. Wilson (2 shared papers)
- Journals
- Clinical Cancer Research (4 papers)Radiation Research (3 papers)Journal of Biological Chemistry (2 papers)International Journal of Cancer (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
David Cerna
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 250
- Genetics 166
- Geriatrics and Gerontology 43
- Molecular Biology 750
- Oncology 297
Countries citing papers authored by David Cerna
This map shows the geographic impact of David Cerna'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 David Cerna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cerna more than expected).
Fields of papers citing papers by David Cerna
This network shows the impact of papers produced by David Cerna. 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 David Cerna. The network helps show where David Cerna may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cerna, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 169 | |
| 2 | 2008 | 107 | |
| 3 | 2008 | 95 | |
| 4 | 2008 | 87 | |
| 5 | 2009 | 81 | |
| 6 | 2005 | 80 | |
| 7 | 2012 | 65 | |
| 8 | 2012 | 64 | |
| 9 | 2010 | 49 | |
| 10 | 2006 | 47 | |
| 11 | 2005 | 43 | |
| 12 | 2005 | 43 | |
| 13 | 2009 | 36 | |
| 14 | 2006 | 31 | |
| 15 | 2012 | 28 | |
| 16 | 2005 | 26 | |
| 17 | 2013 | 19 | |
| 18 | 2012 | 17 | |
| 19 | 2021 | 11 | |
| 20 | 2010 | 4 |
About David Cerna
David Cerna is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pharmacology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), DNA Repair Mechanisms (5 papers), PARP inhibition in cancer therapy (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer-related Molecular Pathways (3 papers), Radiation Therapy and Dosimetry (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Cancer Research (250 citations), Genetics (166 citations), Geriatrics and Gerontology (43 citations), Molecular Biology (750 citations) and Oncology (297 citations). David Cerna has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Kevin Camphausen, Philip J. Tofilon, William Burgan, C. Norman Coleman, Sanjeewani T. Palayoor, Molykutty John‐Aryankalayil, Michael Cerra, David K. Wilson, Michael T. Falduto and Scott R. Magnuson. Their work appears in journals such as Clinical Cancer Research, Radiation Research, Journal of Biological Chemistry, International Journal of Cancer and Cancer Research.
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.