Eric Reed

653 total citations
18 papers, 322 citations indexed

About

Eric Reed is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Eric Reed has authored 18 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Eric Reed's work include Genetic Mapping and Diversity in Plants and Animals (4 papers), RNA modifications and cancer (4 papers) and Genetic Associations and Epidemiology (3 papers). Eric Reed is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (4 papers), RNA modifications and cancer (4 papers) and Genetic Associations and Epidemiology (3 papers). Eric Reed collaborates with scholars based in United States, Myanmar and Denmark. Eric Reed's co-authors include Sara Núñez, Muredach P. Reilly, Andrea S. Foulkes, Jing Qian, David Kulp, Stefano Monti, Camron D. Bryant, W. Evan Johnson, Neema Yazdani and Megan K. Mulligan and has published in prestigious journals such as Nucleic Acids Research, Circulation and PLoS ONE.

In The Last Decade

Eric Reed

16 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Reed United States 9 142 91 52 44 43 18 322
Cecilia Garcia‐Rudaz United States 14 182 1.3× 121 1.3× 47 0.9× 23 0.5× 59 1.4× 16 612
Ana María Ornstein Argentina 12 145 1.0× 64 0.7× 99 1.9× 34 0.8× 19 0.4× 22 508
Yikun Guo China 10 103 0.7× 70 0.8× 63 1.2× 49 1.1× 40 0.9× 16 344
Iris P.L. Wong Australia 11 139 1.0× 39 0.4× 90 1.7× 30 0.7× 65 1.5× 11 410
Yanan Du China 12 194 1.4× 83 0.9× 37 0.7× 35 0.8× 19 0.4× 32 379
Peng Yi China 10 188 1.3× 48 0.5× 13 0.3× 32 0.7× 83 1.9× 22 336
Michael V. Morabito United States 10 203 1.4× 39 0.4× 45 0.9× 28 0.6× 31 0.7× 13 300
Bin Cong China 11 289 2.0× 35 0.4× 34 0.7× 42 1.0× 63 1.5× 35 416
Tingfu Du China 11 270 1.9× 44 0.5× 35 0.7× 116 2.6× 31 0.7× 23 496
Sumedha Garg United Kingdom 9 175 1.2× 163 1.8× 86 1.7× 39 0.9× 31 0.7× 10 518

Countries citing papers authored by Eric Reed

Since Specialization
Citations

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

Fields of papers citing papers by Eric Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Reed

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

All Works

18 of 18 papers shown
1.
Smolgovsky, Sasha, Abraham Bayer, Eric Reed, et al.. (2025). Microglial STING is a central safeguard against neurological decline with age. Cell Reports. 44(6). 115749–115749.
2.
Li, Weilin, Michiya Nishino, Eric Reed, et al.. (2025). Head and neck tumor organoid grown under simplified media conditions model tumor biology and chemoradiation responses. Scientific Reports. 15(1). 24221–24221.
3.
Reed, Eric, Kevin Brown Chandler, Catherine E. Costello, et al.. (2024). Cross-platform proteomics signatures of extreme old age. GeroScience. 47(1). 1199–1220. 2 indexed citations
4.
Villacorta-Martín, Carlos, Monty Montano, Eric Reed, et al.. (2023). Multi-modal profiling of peripheral blood cells across the human lifespan reveals distinct immune cell signatures of aging and longevity. EBioMedicine. 90. 104514–104514. 40 indexed citations
5.
Reed, Eric, Vikki Noonan, Robert I. Haddad, et al.. (2023). β-catenin/CBP activation of mTORC1 signaling promotes partial epithelial-mesenchymal states in head and neck cancer. Translational research. 260. 46–60. 3 indexed citations
6.
Reed, Eric & Stefano Monti. (2021). Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data. Nucleic Acids Research. 49(17). e98–e98. 5 indexed citations
7.
Goldberg, Lisa R., Eric Reed, W. Evan Johnson, et al.. (2021). A quantitative trait variant in Gabra2 underlies increased methamphetamine stimulant sensitivity. Genes Brain & Behavior. 20(8). e12774–e12774. 3 indexed citations
8.
Reed, Eric, et al.. (2021). A Data-Driven Transcriptional Taxonomy of Adipogenic Chemicals to Identify White and Brite Adipogens. Environmental Health Perspectives. 129(7). 77006–77006. 10 indexed citations
9.
Yazdani, Neema, Eric Reed, Karen K. Szumlinski, et al.. (2020). 5′ UTR variants in the quantitative trait gene Hnrnph1 support reduced 5′ UTR usage and hnRNP H protein as a molecular mechanism underlying reduced methamphetamine sensitivity. The FASEB Journal. 34(7). 9223–9244. 9 indexed citations
10.
Bryant, Camron D., Deniz Bağdaş, Lisa R. Goldberg, et al.. (2019). C57BL/6 substrain differences in inflammatory and neuropathic nociception and genetic mapping of a major quantitative trait locus underlying acute thermal nociception. Molecular Pain. 15. 2224628822–2224628822. 24 indexed citations
11.
Reed, Eric, Elizabeth Moses, Gang Liu, et al.. (2019). Assessment of a Highly Multiplexed RNA Sequencing Platform and Comparison to Existing High-Throughput Gene Expression Profiling Techniques. Frontiers in Genetics. 10. 150–150. 4 indexed citations
12.
Goldberg, Lisa R., Neema Yazdani, R.K. Babbs, et al.. (2016). Cytoplasmic FMR1-Interacting Protein 2 Is a Major Genetic Factor Underlying Binge Eating. Biological Psychiatry. 81(9). 757–769. 52 indexed citations
13.
Qian, Jing, Sara Núñez, Eric Reed, Muredach P. Reilly, & Andrea S. Foulkes. (2016). A Simple Test of Class-Level Genetic Association Can Reveal Novel Cardiometabolic Trait Loci. PLoS ONE. 11(2). e0148218–e0148218. 6 indexed citations
14.
Zhang, Xuan, Sara Núñez, Chenyi Xue, et al.. (2016). Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits. Human Molecular Genetics. 25(14). ddw154–ddw154. 32 indexed citations
15.
Yazdani, Neema, Clarissa C. Parker, Ying Shen, et al.. (2015). Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity. PLoS Genetics. 11(12). e1005713–e1005713. 36 indexed citations
16.
Reed, Eric, Sara Núñez, David Kulp, et al.. (2015). A guide to genome‐wide association analysis and post‐analytic interrogation. Statistics in Medicine. 34(28). 3769–3792. 69 indexed citations
17.
Kutty, Shelby, Titus Küehne, Eric Reed, et al.. (2012). Ascending Aortic and Main Pulmonary Artery Areas Derived From Cardiovascular Magnetic Resonance as Reference Values for Normal Subjects and Repaired Tetralogy of Fallot. Circulation Cardiovascular Imaging. 5(5). 644–651. 24 indexed citations
18.
Kutty, Shelby, Titus Küehne, Eric Reed, et al.. (2011). Abstract 14545: Aortic Root and Main Pulmonary Artery Areas Derived from Cardiovascular Magnetic Resonance as Reference Values for Normal Subjects and Repaired Tetralogy of Fallot. Circulation. 124. 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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