Ryan D. Spangler

5.6k total citations · 1 hit paper
7 papers, 3.3k citations indexed

About

Ryan D. Spangler is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ryan D. Spangler has authored 7 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Ryan D. Spangler's work include Alzheimer's disease research and treatments (3 papers), Autophagy in Disease and Therapy (2 papers) and Extracellular vesicles in disease (2 papers). Ryan D. Spangler is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Autophagy in Disease and Therapy (2 papers) and Extracellular vesicles in disease (2 papers). Ryan D. Spangler collaborates with scholars based in United States, Bulgaria and Greece. Ryan D. Spangler's co-authors include Evgeni M. Frenkel, Mustafa Kocak, Shannon Coy, Jordan Rossen, Boryana Petrova, Sandro Santagata, Mai Abdusamad, Svetlana Lutsenko, Lena Joesch-Cohen and Peter Tsvetkov and has published in prestigious journals such as Science, PLoS ONE and Cancer Research.

In The Last Decade

Ryan D. Spangler

6 papers receiving 3.2k citations

Hit Papers

Copper induces cell death by targeting lipoylated TCA cyc... 2022 2026 2023 2024 2022 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan D. Spangler United States 5 1.6k 1.1k 1.0k 529 492 7 3.3k
Lena Joesch-Cohen United States 6 1.5k 0.9× 1.1k 1.0× 1.0k 1.0× 533 1.0× 490 1.0× 7 3.1k
Mai Abdusamad United States 5 1.6k 1.0× 1.1k 1.0× 978 0.9× 532 1.0× 487 1.0× 7 3.2k
Steven M. Corsello United States 6 1.6k 1.0× 1.2k 1.1× 1.0k 1.0× 528 1.0× 487 1.0× 12 3.3k
Evgeni M. Frenkel United States 5 1.6k 1.0× 1.1k 1.0× 981 0.9× 528 1.0× 488 1.0× 6 3.3k
Boryana Petrova United States 17 2.0k 1.3× 1.1k 1.0× 1.1k 1.1× 595 1.1× 536 1.1× 31 4.0k
Mustafa Kocak United States 4 1.7k 1.1× 1.3k 1.1× 1.1k 1.1× 661 1.2× 591 1.2× 8 3.6k
Shannon Coy United States 17 1.7k 1.1× 1.2k 1.1× 1.0k 1.0× 530 1.0× 515 1.0× 38 3.9k
Jordan Rossen United States 4 1.8k 1.1× 1.3k 1.1× 1.1k 1.1× 661 1.2× 542 1.1× 5 3.7k
Naama Kanarek United States 17 2.6k 1.7× 1.2k 1.1× 1.6k 1.6× 609 1.2× 572 1.2× 28 5.0k
Peter Tsvetkov Israel 27 3.3k 2.1× 1.4k 1.3× 1.3k 1.2× 770 1.5× 563 1.1× 40 5.5k

Countries citing papers authored by Ryan D. Spangler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan D. Spangler

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan D. Spangler. A scholar is included among the top collaborators of Ryan D. Spangler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan D. Spangler. Ryan D. Spangler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tsvetkov, Peter, Shannon Coy, Boryana Petrova, et al.. (2022). Copper induces cell death by targeting lipoylated TCA cycle proteins. Science. 375(6586). 1254–1261. 2990 indexed citations breakdown →
2.
Corsello, Steven M., Ryan D. Spangler, Caitlin Harrington, et al.. (2020). Abstract 3400: Adenosine receptor antagonists exhibit potent and selective off-target killing of FOXA1-high cancers. Cancer Research. 80(16_Supplement). 3400–3400.
3.
Kapogiannis, Dimitrios, Maja Mustapić, Michelle Shardell, et al.. (2019). Association of Extracellular Vesicle Biomarkers With Alzheimer Disease in the Baltimore Longitudinal Study of Aging. JAMA Neurology. 76(11). 1340–1340. 174 indexed citations
4.
Hamilton, Kelly, Yue Wang, Sophia Raefsky, et al.. (2018). Mice lacking the transcriptional regulator Bhlhe40 have enhanced neuronal excitability and impaired synaptic plasticity in the hippocampus. PLoS ONE. 13(5). e0196223–e0196223. 15 indexed citations
5.
Eitan, Erez, Valeria Tosti, Caitlin N. Suire, et al.. (2017). In a randomized trial in prostate cancer patients, dietary protein restriction modifies markers of leptin and insulin signaling in plasma extracellular vesicles. Aging Cell. 16(6). 1430–1433. 45 indexed citations
6.
Fang, Evandro Fei, Konstantinos Palikaras, Nuo Sun, et al.. (2017). <em>In Vitro</em> and <em>In Vivo</em> Detection of Mitophagy in Human Cells,<em> C. Elegans</em>, and Mice. Journal of Visualized Experiments. 26 indexed citations
7.
Fang, Evandro Fei, Konstantinos Palikaras, Nuo Sun, et al.. (2017). <em>In Vitro</em> and <em>In Vivo</em> Detection of Mitophagy in Human Cells,<em> C. Elegans</em>, and Mice. Journal of Visualized Experiments. 3 indexed citations

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.

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