David Dadey
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- DNA Repair Mechanisms 2
- ATP Synthase and ATPases Research 2
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- Endoplasmic Reticulum Stress and Disease 6
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Dennis E. Hallahan (11 shared papers)Dinesh Thotala (10 shared papers)Vaishali Kapoor (8 shared papers)Albert H. Kim (3 shared papers)Leonard B. Maggi (1 shared paper)R. Reid Townsend (1 shared paper)Pier Paolo Pandolfi (1 shared paper)Jason D. Weber (1 shared paper)
- Journals
- Cancer Research (3 papers)Neurosurgical FOCUS (3 papers)Journal of Neuro-Oncology (2 papers)World Neurosurgery (2 papers)Neuromodulation Technology at the Neural Interface (1 paper)
- Partner nations
- United StatesGhanaUnited Kingdom
In The Last Decade
David Dadey
21 papers receiving 684 citations
Peers
Comparison fields: 5 of 69
- Geriatrics and Gerontology 45
- Cell Biology 173
- Physiology 33
- Cancer Research 71
- Molecular Biology 342
Countries citing papers authored by David Dadey
This map shows the geographic impact of David Dadey'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 Dadey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Dadey more than expected).
Fields of papers citing papers by David Dadey
This network shows the impact of papers produced by David Dadey. 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 Dadey. The network helps show where David Dadey may publish in the future.
Co-authors
The 25 scholars most cited alongside David Dadey, 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 | 2008 | 176 | |
| 2 | 2016 | 110 | |
| 3 | 2015 | 94 | |
| 4 | 2016 | 55 | |
| 5 | 2013 | 49 | |
| 6 | 2018 | 38 | |
| 7 | 2016 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2016 | 27 | |
| 10 | 2016 | 23 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2023 | 1 |
About David Dadey
David Dadey is a scholar working on Molecular Biology, Cell Biology, Neurology, Oncology and Epidemiology, having authored 22 papers that have together received 690 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), DNA Repair Mechanisms (2 papers), Migraine and Headache Studies (2 papers), ATP Synthase and ATPases Research (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), PARP inhibition in cancer therapy (2 papers), Brain Metastases and Treatment (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Cell Biology (173 citations), Physiology (33 citations), Cancer Research (71 citations) and Molecular Biology (342 citations). David Dadey has collaborated with scholars based in United States, Ghana and United Kingdom. Frequent co-authors include Dennis E. Hallahan, Dinesh Thotala, Vaishali Kapoor, Albert H. Kim, Leonard B. Maggi, R. Reid Townsend, Pier Paolo Pandolfi, Jason D. Weber, Silvia Grisendi and Eric C. Leuthardt. Their work appears in journals such as Cancer Research, Neurosurgical FOCUS, Journal of Neuro-Oncology, World Neurosurgery and Neuromodulation Technology at the Neural Interface.
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.