Alton Etheridge

3.2k total citations
22 papers, 2.1k citations indexed

About

Alton Etheridge is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Alton Etheridge has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Cancer Research and 2 papers in Developmental Neuroscience. Recurrent topics in Alton Etheridge's work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (5 papers). Alton Etheridge is often cited by papers focused on MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (5 papers). Alton Etheridge collaborates with scholars based in United States, Luxembourg and China. Alton Etheridge's co-authors include David J. Galas, Kai Wang, Leroy Hood, Inyoul Lee, Shile Zhang, Paul Wilmes, Taek‐Kyun Kim, Lik Wee Lee, Li Ma and Christie P. Robertson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Alton Etheridge

22 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alton Etheridge United States 19 1.7k 1.2k 110 98 95 22 2.1k
Yuning Wei China 10 1.3k 0.8× 882 0.7× 109 1.0× 62 0.6× 163 1.7× 15 1.7k
Nham Tran Australia 25 1.9k 1.1× 1.7k 1.3× 141 1.3× 120 1.2× 301 3.2× 60 2.7k
Jakub Orzechowski Westholm Sweden 25 2.8k 1.7× 1.6k 1.3× 248 2.3× 29 0.3× 111 1.2× 41 3.3k
Thomas F. Duchaîne Canada 28 3.0k 1.8× 1.2k 1.0× 184 1.7× 129 1.3× 167 1.8× 52 3.6k
Yingchun Tong United States 6 2.0k 1.2× 1.7k 1.4× 210 1.9× 48 0.5× 122 1.3× 7 2.4k
Julia Winter Germany 15 2.1k 1.3× 1.8k 1.5× 251 2.3× 61 0.6× 108 1.1× 22 2.9k
Guihua Sun United States 20 2.0k 1.2× 1.3k 1.0× 167 1.5× 35 0.4× 152 1.6× 35 2.5k
Caterina Catalanotto Italy 13 1.2k 0.7× 697 0.6× 102 0.9× 36 0.4× 114 1.2× 19 1.7k
Erika Lasda United States 13 2.0k 1.2× 1.1k 0.9× 63 0.6× 39 0.4× 82 0.9× 19 2.2k

Countries citing papers authored by Alton Etheridge

Since Specialization
Citations

This map shows the geographic impact of Alton Etheridge'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 Alton Etheridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alton Etheridge more than expected).

Fields of papers citing papers by Alton Etheridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alton Etheridge. 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 Alton Etheridge. The network helps show where Alton Etheridge may publish in the future.

Co-authorship network of co-authors of Alton Etheridge

This figure shows the co-authorship network connecting the top 25 collaborators of Alton Etheridge. A scholar is included among the top collaborators of Alton Etheridge 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 Alton Etheridge. Alton Etheridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Godoy, Paula M., Andrea J. Barczak, Srimeenakshi Srinivasan, et al.. (2019). Comparison of Reproducibility, Accuracy, Sensitivity, and Specificity of miRNA Quantification Platforms. Cell Reports. 29(12). 4212–4222.e5. 68 indexed citations
3.
Ghai, Vikas, Taek‐Kyun Kim, Alton Etheridge, et al.. (2019). Extracellular Vesicle Encapsulated MicroRNAs in Patients with Type 2 Diabetes Are Affected by Metformin Treatment. Journal of Clinical Medicine. 8(5). 617–617. 36 indexed citations
4.
Giraldez, María D., Ryan M. Spengler, Alton Etheridge, et al.. (2019). Phospho‐RNA‐seq: a modified small RNA‐seq method that reveals circulating mRNA and lncRNA fragments as potential biomarkers in human plasma. The EMBO Journal. 38(11). 75 indexed citations
5.
Malabirade, Antoine, Janine Habier, Anna Heintz‐Buschart, et al.. (2018). The RNA Complement of Outer Membrane Vesicles From Salmonella enterica Serovar Typhimurium Under Distinct Culture Conditions. Frontiers in Microbiology. 9. 2015–2015. 58 indexed citations
6.
Etheridge, Alton, Kai Wang, David Baxter, & David J. Galas. (2018). Preparation of Small RNA NGS Libraries from Biofluids. Methods in molecular biology. 1740. 163–175. 13 indexed citations
7.
Shaffi, Saeed K., David J. Galas, Alton Etheridge, & Christos Argyropoulos. (2018). Role of MicroRNAs in Renal Parenchymal Diseases—A New Dimension. International Journal of Molecular Sciences. 19(6). 1797–1797. 25 indexed citations
8.
Wu, Xiaogang, Taek‐Kyun Kim, David Baxter, et al.. (2017). sRNAnalyzer—a flexible and customizable small RNA sequencing data analysis pipeline. Nucleic Acids Research. 45(21). 12140–12151. 57 indexed citations
9.
Argyropoulos, Christos, Alton Etheridge, Nikita A. Sakhanenko, & David J. Galas. (2017). Modeling bias and variation in the stochastic processes of small RNA sequencing. Nucleic Acids Research. 45(11). e104–e104. 6 indexed citations
10.
Chen, Zhaoyi, Wing Y. Chang, Alton Etheridge, et al.. (2017). Reprogramming progeria fibroblasts re‐establishes a normal epigenetic landscape. Aging Cell. 16(4). 870–887. 31 indexed citations
11.
He, Yuqing, Juanjuan Lin, Yuanlin Ding, et al.. (2015). A systematic study on dysregulated microRNAs in cervical cancer development. International Journal of Cancer. 138(6). 1312–1327. 73 indexed citations
12.
He, Yuqing, Juanjuan Lin, Danli Kong, et al.. (2015). Current State of Circulating MicroRNAs as Cancer Biomarkers. Clinical Chemistry. 61(9). 1138–1155. 195 indexed citations
13.
Cho, Ji‐Hoon, Inyoul Lee, Rasha Hammamieh, et al.. (2014). Molecular evidence of stress-induced acute heart injury in a mouse model simulating posttraumatic stress disorder. Proceedings of the National Academy of Sciences. 111(8). 3188–3193. 34 indexed citations
14.
Etheridge, Alton, Clarissa P. C. Gomes, Rinaldo Wellerson Pereira, David J. Galas, & Kai Wang. (2013). The complexity, function and applications of RNA in circulation. Frontiers in Genetics. 4. 115–115. 42 indexed citations
15.
Wang, Kai, Hong Li, Yue Yuan, et al.. (2012). The Complex Exogenous RNA Spectra in Human Plasma: An Interface with Human Gut Biota?. PLoS ONE. 7(12). e51009–e51009. 144 indexed citations
16.
Etheridge, Alton, Inyoul Lee, Leroy Hood, David J. Galas, & Kai Wang. (2011). Extracellular microRNA: A new source of biomarkers. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 717(1-2). 85–90. 498 indexed citations
17.
Cho, Ji‐Hoon, Richard Gelinas, Kai Wang, et al.. (2011). Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes. BMC Medical Genomics. 4(1). 8–8. 107 indexed citations
18.
Lee, Lik Wee, Shile Zhang, Alton Etheridge, et al.. (2010). Complexity of the microRNA repertoire revealed by next-generation sequencing. RNA. 16(11). 2170–2180. 225 indexed citations
19.
Braun, Michelle, Alton Etheridge, Amy Bernard, Christie P. Robertson, & Henk Roelink. (2003). Wnt signaling is required at distinct stages of development for the induction of the posterior forebrain. Development. 130(23). 5579–5587. 154 indexed citations
20.
Liang, Jennifer O., Alton Etheridge, Liisa Hantsoo, et al.. (2000). Asymmetric Nodal signaling in the zebrafish diencephalon positions the pineal organ. Development. 127(23). 5101–5112. 138 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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