Eric Cox

10.6k total citations · 2 hit papers
31 papers, 1.6k citations indexed

About

Eric Cox is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Cox has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Organic Chemistry and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Cox's work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Eric Cox is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Eric Cox collaborates with scholars based in United States, China and Taiwan. Eric Cox's co-authors include James M. Cook, Heng Zhu, Jiang Qian, Ruth M. McKernan, Shuli Xia, Qifeng Song, Shaohui Hu, Guo‐li Ming, Ha Nam Nguyen and Herschel Wade and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Eric Cox

29 papers receiving 1.6k citations

Hit Papers

The Pictet-Spengler condensation: a new direction for an ... 1995 2026 2005 2015 1995 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Cox United States 16 926 877 246 125 116 31 1.6k
Xiangbing Qi China 28 1.2k 1.3× 1.3k 1.4× 164 0.7× 90 0.7× 108 0.9× 74 2.9k
Fengtian Xue United States 27 738 0.8× 595 0.7× 95 0.4× 104 0.8× 37 0.3× 90 1.9k
Anthony J. Roecker United States 20 748 0.8× 881 1.0× 145 0.6× 127 1.0× 61 0.5× 28 2.2k
Lajos Szabó Hungary 22 845 0.9× 979 1.1× 94 0.4× 189 1.5× 335 2.9× 131 1.7k
John P. Mallamo United States 29 1.1k 1.2× 1.1k 1.3× 75 0.3× 155 1.2× 51 0.4× 64 2.3k
Jarrod A. Smith United States 22 1.3k 1.4× 187 0.2× 361 1.5× 182 1.5× 91 0.8× 36 1.7k
Rosario Herranz Spain 22 805 0.9× 694 0.8× 77 0.3× 276 2.2× 55 0.5× 117 1.5k
Wayne E. Childers United States 20 1.1k 1.2× 1.2k 1.3× 74 0.3× 193 1.5× 121 1.0× 73 2.4k
Bellinda Benhamú Spain 25 1.0k 1.1× 597 0.7× 256 1.0× 449 3.6× 36 0.3× 60 1.6k
David W. Piotrowski United States 24 1.0k 1.1× 865 1.0× 45 0.2× 205 1.6× 34 0.3× 65 1.9k

Countries citing papers authored by Eric Cox

Since Specialization
Citations

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

Fields of papers citing papers by Eric Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Cox. A scholar is included among the top collaborators of Eric Cox 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 Cox. Eric Cox 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.
Oh, Dong‐Ha, Barbara Robbertse, Nuala A. O’Leary, et al.. (2025). NCBI Orthologs: Public Resource and Scalable Method for Computing High-Precision Orthologs Across Eukaryotic Genomes. Journal of Molecular Evolution. 93(6). 843–859.
2.
O’Leary, Nuala A., et al.. (2024). Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets. Scientific Data. 11(1). 732–732. 69 indexed citations breakdown →
3.
Cox, Eric, Mirian T. N. Tsuchiya, Stacy Ciufo, et al.. (2024). NCBI Taxonomy: enhanced access via NCBI Datasets. Nucleic Acids Research. 53(D1). D1711–D1715. 8 indexed citations
4.
Hu, Jianfei, Eric Cox, Shuli Xia, et al.. (2018). Global Identification of Small Ubiquitin-related Modifier (SUMO) Substrates Reveals Crosstalk between SUMOylation and Phosphorylation Promotes Cell Migration. Molecular & Cellular Proteomics. 17(5). 871–888. 20 indexed citations
5.
Cox, Eric, Woochang Hwang, Jianfei Hu, et al.. (2017). Global Analysis of SUMO-Binding Proteins Identifies SUMOylation as a Key Regulator of the INO80 Chromatin Remodeling Complex. Molecular & Cellular Proteomics. 16(5). 812–823. 17 indexed citations
7.
Cox, Eric, et al.. (2016). Posttranslational Modification Assays on Functional Protein Microarrays. Cold Spring Harbor Protocols. 2016(10). pdb.prot087999–pdb.prot087999. 3 indexed citations
8.
Cox, Eric, Hee‐Sool Rho, Guang Song, et al.. (2016). Protein Microarrays: Flexible Tools for Scientific Innovation. Cold Spring Harbor Protocols. 2016(10). pdb.top081471–pdb.top081471. 3 indexed citations
9.
Cox, Eric, Catherine M. Guzzo, Jun Seop Jeong, et al.. (2015). Identification of SUMO E3 Ligase-Specific Substrates Using the HuProt Human Proteome Microarray. Methods in molecular biology. 1295. 455–463. 9 indexed citations
10.
McGarvey, Kelly M., Tamara Goldfarb, Eric Cox, et al.. (2015). Mouse genome annotation by the RefSeq project. Mammalian Genome. 26(9-10). 379–390. 12 indexed citations
11.
Guzzo, Catherine M., Alison E. Ringel, Eric Cox, et al.. (2014). Characterization of the SUMO-Binding Activity of the Myeloproliferative and Mental Retardation (MYM)-Type Zinc Fingers in ZNF261 and ZNF198. PLoS ONE. 9(8). e105271–e105271. 27 indexed citations
12.
Wright, Stephen W., Mark Ammirati, Kim Andrews, et al.. (2007). (3R,4S)-4-(2,4,5-Trifluorophenyl)-pyrrolidin-3-ylamine inhibitors of dipeptidyl peptidase IV: Synthesis, in vitro, in vivo, and X-ray crystallographic characterization. Bioorganic & Medicinal Chemistry Letters. 17(20). 5638–5642. 13 indexed citations
13.
Corbett, Jeffrey W., Kenneth J. DiRico, Brian P. Boscoe, et al.. (2007). Design and synthesis of potent amido- and benzyl-substituted cis-3-amino-4-(2-cyanopyrrolidide)pyrrolidinyl DPP-IV inhibitors. Bioorganic & Medicinal Chemistry Letters. 17(24). 6707–6713. 20 indexed citations
14.
Lanier, Jason, Lely A. Quina, Stephanie Eng, Eric Cox, & Eric E. Turner. (2006). Brn3a target gene recognition in embryonic sensory neurons. Developmental Biology. 302(2). 703–716. 31 indexed citations
15.
Cox, Eric, Jason Lanier, Lely A. Quina, Stephanie Eng, & Eric E. Turner. (2006). Regulation of FGF10 by POU transcription factor Brn3a in the developing trigeminal ganglion. Journal of Neurobiology. 66(10). 1075–1083. 3 indexed citations
16.
Barbacci, Elsa G., Leslie R. Pustilnik, Ann Marie Rossi, et al.. (2003). The biological and biochemical effects of CP-654577, a selective erbB2 kinase inhibitor, on human breast cancer cells.. PubMed. 63(15). 4450–9. 40 indexed citations
17.
Bhattacharya, Samit K., Eric Cox, John C. Kath, et al.. (2003). Achieving selectivity between highly homologous tyrosine kinases: a novel selective erbB2 inhibitor. Biochemical and Biophysical Research Communications. 307(2). 267–273. 16 indexed citations
18.
Paronis, Carol A., Eric Cox, James R. Cook, & Jack Bergman. (2001). Different types of GABA A receptors may mediate the anticonflict and response rate-decreasing effects of zaleplon, zolpidem, and midazolam in squirrel monkeys. Psychopharmacology. 156(4). 461–468. 21 indexed citations
19.
Cox, Eric, et al.. (2000). Bèta-glucanen als immunostimulantia en als adjuvantia. Vlaams Diergeneeskundig Tijdschrift. 69(6). 2 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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