Mark Eckersdorff
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Aging top 5%
Papers in
-
- DNA Repair Mechanisms 6
- CRISPR and Genetic Engineering 2
- Oncology 9
- Cancer-related Molecular Pathways 5
- CAR-T cell therapy research 2
- Co-authors
- David O. Ferguson (7 shared papers)Frederick W. Alt (6 shared papers)JoAnn Sekiguchi (3 shared papers)Craig H. Bassing (2 shared papers)Charles Lee (2 shared papers)John Manis (2 shared papers)David B. Lombard (3 shared papers)Heikyung Suh (1 shared paper)
- Journals
- Cell (2 papers)Journal of Visualized Experiments (2 papers)PLoS Genetics (1 paper)Human Molecular Genetics (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Mark Eckersdorff
13 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 151
- Aging 60
- Molecular Biology 1.3k
- Cancer Research 269
- Oncology 467
Countries citing papers authored by Mark Eckersdorff
This map shows the geographic impact of Mark Eckersdorff'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 Mark Eckersdorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Eckersdorff more than expected).
Fields of papers citing papers by Mark Eckersdorff
This network shows the impact of papers produced by Mark Eckersdorff. 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 Mark Eckersdorff. The network helps show where Mark Eckersdorff may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Eckersdorff, 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 | 2003 | 417 | |
| 2 | 2008 | 278 | |
| 3 | 2009 | 220 | |
| 4 | 2003 | 164 | |
| 5 | 2015 | 117 | |
| 6 | 2005 | 110 | |
| 7 | 2004 | 103 | |
| 8 | 2004 | 88 | |
| 9 | 2012 | 64 | |
| 10 | 2005 | 48 | |
| 11 | 2015 | 15 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 4 |
About Mark Eckersdorff
Mark Eckersdorff is a scholar working on Molecular Biology, Oncology, Geriatrics and Gerontology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cancer-related Molecular Pathways (5 papers), T-cell and B-cell Immunology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CRISPR and Genetic Engineering (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (151 citations), Aging (60 citations), Molecular Biology (1.3k citations), Cancer Research (269 citations) and Oncology (467 citations). Mark Eckersdorff has collaborated with scholars based in United States and Netherlands. Frequent co-authors include David O. Ferguson, Frederick W. Alt, JoAnn Sekiguchi, Craig H. Bassing, Charles Lee, John Manis, David B. Lombard, Heikyung Suh, Katrin F. Chua and R T Bronson. Their work appears in journals such as Cell, Journal of Visualized Experiments, PLoS Genetics, Human Molecular Genetics and Genes & Development.
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.