Ryan D. Spangler
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Nutrition and Dietetics top 2%
- Trace Elements in Health
Papers in
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- Alzheimer's disease research and treatments 3
- Adenosine and Purinergic Signaling 1
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- Extracellular vesicles in disease 2
- Co-authors
- Jordan Rossen (2 shared papers)Evgeni M. Frenkel (1 shared paper)Lena Joesch-Cohen (1 shared paper)Naama Kanarek (1 shared paper)Mustafa Kocak (2 shared papers)Steven M. Corsello (2 shared papers)John K. Eaton (1 shared paper)Svetlana Lutsenko (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)JAMA Neurology (1 paper)Cancer Research (1 paper)Science (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesBulgariaUnited Kingdom
In The Last Decade
Ryan D. Spangler
6 papers receiving 3.2k citations
Ryan D. Spangler's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 1.0k
- Nutrition and Dietetics 529
- Pulmonary and Respiratory Medicine 1.1k
- Molecular Biology 1.6k
- Immunology 346
Countries citing papers authored by Ryan D. Spangler
This map shows the geographic impact of Ryan D. Spangler'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 Ryan D. Spangler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan D. Spangler more than expected).
Fields of papers citing papers by Ryan D. Spangler
This network shows the impact of papers produced by Ryan D. Spangler. 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 Ryan D. Spangler. The network helps show where Ryan D. Spangler may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan D. Spangler, 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 | Copper induces cell death by targeting lipoylated TCA cycle proteins Hit paper breakdown → | 2022 | 2990 |
| 2 | 2019 | 174 | |
| 3 | 2017 | 45 | |
| 4 | 2017 | 26 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 3 | |
| 7 | 2020 | 0 |
About Ryan D. Spangler
Ryan D. Spangler is a scholar working on Physiology, Molecular Biology, Epidemiology, Neurology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 3.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Extracellular vesicles in disease (2 papers), Autophagy in Disease and Therapy (2 papers), Trace Elements in Health (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cardiovascular Disease and Adiposity (1 paper), Adenosine and Purinergic Signaling (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Cancer Research (1.0k citations), Nutrition and Dietetics (529 citations), Pulmonary and Respiratory Medicine (1.1k citations), Molecular Biology (1.6k citations) and Immunology (346 citations). Ryan D. Spangler has collaborated with scholars based in United States, Bulgaria and United Kingdom. Frequent co-authors include Jordan Rossen, Evgeni M. Frenkel, Lena Joesch-Cohen, Naama Kanarek, Mustafa Kocak, Steven M. Corsello, John K. Eaton, Svetlana Lutsenko, Shannon Coy and Todd R. Golub. Their work appears in journals such as Journal of Visualized Experiments, JAMA Neurology, Cancer Research, Science and Aging Cell.
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.