David Cox

4.3k total citations · 2 hit papers
42 papers, 2.8k citations indexed

About

David Cox is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory and Molecular Biology. According to data from OpenAlex, David Cox has authored 42 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 9 papers in Algebra and Number Theory and 8 papers in Molecular Biology. Recurrent topics in David Cox's work include Polynomial and algebraic computation (14 papers), Commutative Algebra and Its Applications (9 papers) and Advanced Numerical Analysis Techniques (7 papers). David Cox is often cited by papers focused on Polynomial and algebraic computation (14 papers), Commutative Algebra and Its Applications (9 papers) and Advanced Numerical Analysis Techniques (7 papers). David Cox collaborates with scholars based in United States, Canada and Argentina. David Cox's co-authors include John B. Little, Donal O’Shea, David W. Russell, Valerie M. Williamson, Samir P. Patel, Alexander G. Rabchevsky, Elton T. Young, Fernando Cardozo‐Pelaez, Jenna L. Gollihue and Patrick G. Sullivan and has published in prestigious journals such as Nature, Journal of Neuroscience and Molecular and Cellular Biology.

In The Last Decade

David Cox

40 papers receiving 2.6k citations

Hit Papers

Ideals, Varieties, and Algorithms 1992 2026 2003 2014 1992 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Cox United States 22 1.1k 585 572 523 479 42 2.8k
Günter M. Ziegler Germany 30 1.6k 1.4× 1.4k 2.4× 167 0.3× 760 1.5× 260 0.5× 136 4.5k
David A. Cox United States 15 1.0k 0.9× 1.0k 1.8× 48 0.1× 599 1.1× 423 0.9× 48 2.3k
H. Stärk United States 26 367 0.3× 697 1.2× 296 0.5× 458 0.9× 194 0.4× 112 2.4k
Vitali Milman Israel 30 765 0.7× 1.1k 1.8× 172 0.3× 107 0.2× 154 0.3× 115 3.4k
Jiu Ding United States 21 685 0.6× 290 0.5× 78 0.1× 335 0.6× 96 0.2× 132 1.4k
Ioannis Z. Emiris Greece 23 935 0.8× 170 0.3× 67 0.1× 267 0.5× 475 1.0× 120 1.5k
Peter McMullen United Kingdom 29 791 0.7× 1.0k 1.8× 47 0.1× 416 0.8× 121 0.3× 115 2.9k
Paul Zimmermann France 16 865 0.8× 96 0.2× 264 0.5× 75 0.1× 142 0.3× 106 2.1k
Qing‐Wen Wang China 36 3.1k 2.7× 619 1.1× 67 0.1× 596 1.1× 139 0.3× 295 4.4k
Bernard Mourrain France 28 1.3k 1.1× 189 0.3× 35 0.1× 312 0.6× 1.5k 3.2× 157 3.0k

Countries citing papers authored by David Cox

Since Specialization
Citations

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

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cox

This figure shows the co-authorship network connecting the top 25 collaborators of David Cox. A scholar is included among the top collaborators of David 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 David Cox. David 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.
Stoops, William W., David Cox, Lon R. Hays, et al.. (2024). Influence of cocaine use reduction on markers of immune function. Journal of Neuroimmunology. 397. 578470–578470.
2.
Koffarnus, Mikhail N., et al.. (2023). Cocaine abstinence during the “critical period” of a contingency management trial predicts future abstinence in people with cocaine use disorder. Drug and Alcohol Dependence. 253. 111030–111030. 2 indexed citations
3.
Lile, Joshua A., et al.. (2022). Cannabis Use Disorder Treatment Preferences: A Pilot Survey in Current Users of Cannabis. Journal of Addiction Medicine. 17(2). e87–e93. 1 indexed citations
4.
Cox, David, et al.. (2022). Differential impacts of economic and demographic variables on substance use patterns during the COVID-19 pandemic. The American Journal of Drug and Alcohol Abuse. 48(2). 176–185. 4 indexed citations
5.
Cox, David. (2020). Applications of Polynomial Systems. 7 indexed citations
6.
Eldahan, Khalid C., et al.. (2019). Paradoxical effects of continuous high dose gabapentin treatment on autonomic dysreflexia after complete spinal cord injury. Experimental Neurology. 323. 113083–113083. 14 indexed citations
7.
Patel, Samir P., David Cox, Jenna L. Gollihue, et al.. (2017). Pioglitazone treatment following spinal cord injury maintains acute mitochondrial integrity and increases chronic tissue sparing and functional recovery. Experimental Neurology. 293. 74–82. 31 indexed citations
8.
Cox, David, et al.. (2013). Time course of dorsal and ventral hippocampal involvement in the expression of trace fear conditioning. Neurobiology of Learning and Memory. 106. 316–323. 23 indexed citations
9.
Kronenberg, Golo, Christoph Harms, Robert W. Sobol, et al.. (2008). Folate Deficiency Induces Neurodegeneration and Brain Dysfunction in Mice Lacking Uracil DNA Glycosylase. Journal of Neuroscience. 28(28). 7219–7230. 85 indexed citations
10.
Cox, David & Jessica Sidman. (2006). Secant varieties of toric varieties. Journal of Pure and Applied Algebra. 209(3). 651–669. 12 indexed citations
11.
Bolin, Celeste, Riyaz Basha, David Cox, et al.. (2006). Exposure to lead (Pb) and the developmental origin of oxidative DNA damage in the aging brain. The FASEB Journal. 20(6). 788–790. 144 indexed citations
12.
Chen, Falai, David Cox, & Yang Liu. (2005). The μ-basis and implicitization of a rational parametric surface. Journal of Symbolic Computation. 39(6). 689–706. 47 indexed citations
13.
Cox, David & Alicia Dickenstein. (2005). Codimension theorems for complete toric varieties. Proceedings of the American Mathematical Society. 133(11). 3153–3162. 4 indexed citations
14.
Busé, Laurent, David Cox, & Carlos D’Andrea. (2003). Implicitization of surfaces in the projective space in the presence of base points. Journal of Algebra and Its Applications. 2(2). 6 indexed citations
15.
Cox, David & Hal Schenck. (2002). Local complete intersections in ℙ² and Koszul syzygies. Proceedings of the American Mathematical Society. 131(7). 2007–2014. 11 indexed citations
16.
Cox, David, Ronald Goldman, & Ming Zhang. (2000). On the Validity of Implicitization by Moving Quadrics for Rational Surfaces with No Base Points. Journal of Symbolic Computation. 29(3). 419–440. 53 indexed citations
17.
Cox, David & Bernd Sturmfels. (1997). Applications of Computational Algebraic Geometry. 19 indexed citations
18.
Cattani, Eduardo, David Cox, & Alicia Dickenstein. (1997). Residues in toric varieties. Compositio Mathematica. 108(1). 35–76. 29 indexed citations
19.
Shuster, Jeffrey R., et al.. (1986). ADR1 -Mediated Regulation of ADH2 Requires an Inverted Repeat Sequence. Molecular and Cellular Biology. 6(6). 1894–1902. 19 indexed citations
20.
Russell, David W., Michael J. Smith, David Cox, Valerie M. Williamson, & Elton T. Young. (1983). DNA sequences of two yeast promoter-up mutants. Nature. 304(5927). 652–654. 84 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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