Ryan D. Spangler
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Ferroptosis and cancer prognosis
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
- Mitochondrial Function and Pathology 1
- Co-authors
- John K. Eaton (1 shared paper)Peter Tsvetkov (1 shared paper)Svetlana Lutsenko (1 shared paper)Evgeni M. Frenkel (1 shared paper)Naama Kanarek (1 shared paper)Todd R. Golub (2 shared papers)Mustafa Kocak (2 shared papers)Boryana Petrova (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Aging Cell (1 paper)Science (1 paper)JAMA Neurology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGreeceBulgaria
In The Last Decade
Ryan D. Spangler
6 papers receiving 3.5k citations
Ryan D. Spangler's Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 721
- Pulmonary and Respiratory Medicine 1.1k
- Nutrition and Dietetics 528
- Molecular Biology 1.3k
- Immunology 291
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 | 3250 |
| 2 | 2019 | 183 | |
| 3 | 2017 | 47 | |
| 4 | 2017 | 29 | |
| 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 3.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Autophagy in Disease and Therapy (2 papers), Extracellular vesicles in disease (2 papers), Sirtuins and Resveratrol in Medicine (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Adenosine and Purinergic Signaling (1 paper), Mitochondrial Function and Pathology (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cancer Research (721 citations), Pulmonary and Respiratory Medicine (1.1k citations), Nutrition and Dietetics (528 citations), Molecular Biology (1.3k citations) and Immunology (291 citations). Ryan D. Spangler has collaborated with scholars based in United States, Greece and Bulgaria. Frequent co-authors include John K. Eaton, Peter Tsvetkov, Svetlana Lutsenko, Evgeni M. Frenkel, Naama Kanarek, Todd R. Golub, Mustafa Kocak, Boryana Petrova, Sandro Santagata and Jordan Rossen. Their work appears in journals such as Journal of Visualized Experiments, Aging Cell, Science, JAMA Neurology 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.