Judith R. Denery

800 total citations
10 papers, 494 citations indexed

About

Judith R. Denery is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Judith R. Denery has authored 10 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Pharmacology. Recurrent topics in Judith R. Denery's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Parasitic Diseases Research and Treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Judith R. Denery is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Parasitic Diseases Research and Treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Judith R. Denery collaborates with scholars based in United States and Germany. Judith R. Denery's co-authors include Tobin J. Dickerson, Qing X. Li, Klaus Dragull, C. S. Tang, Kim D. Janda, Mark S. Hixon, M. Shahid Alam, James S. Newhouse, Jennifer A. Saito and Michael Y. Galperin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Analytical Chemistry.

In The Last Decade

Judith R. Denery

9 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judith R. Denery United States 7 276 74 65 63 61 10 494
Renata G. Dusi Brazil 10 245 0.9× 50 0.7× 15 0.2× 23 0.4× 27 0.4× 11 509
Martin Sievers Switzerland 13 336 1.2× 23 0.3× 4 0.1× 50 0.8× 97 1.6× 33 629
Amandine Gastebois France 12 371 1.3× 16 0.2× 11 0.2× 183 2.9× 76 1.2× 20 780
Thorben Nawrath Germany 12 265 1.0× 29 0.4× 30 0.5× 30 0.5× 73 1.2× 13 486
H. Brzezinka Germany 11 278 1.0× 16 0.2× 35 0.5× 24 0.4× 13 0.2× 26 545
Ranno Nahku Estonia 10 577 2.1× 19 0.3× 78 1.2× 11 0.2× 120 2.0× 14 739
Lixia Yuan China 15 352 1.3× 8 0.1× 19 0.3× 72 1.1× 46 0.8× 44 711
Dagmar Brüggemann Germany 15 146 0.5× 9 0.1× 15 0.2× 8 0.1× 63 1.0× 35 575
Amit Kumar Singh India 15 250 0.9× 24 0.3× 12 0.2× 16 0.3× 10 0.2× 30 600
Alma Laura Díaz-Pérez Mexico 13 354 1.3× 42 0.6× 3 0.0× 38 0.6× 74 1.2× 29 543

Countries citing papers authored by Judith R. Denery

Since Specialization
Citations

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

Fields of papers citing papers by Judith R. Denery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith R. Denery. 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 Judith R. Denery. The network helps show where Judith R. Denery may publish in the future.

Co-authorship network of co-authors of Judith R. Denery

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

All Works

10 of 10 papers shown
1.
Moss, Nathan A., Peter Jackson, Sara P. Gaucher, et al.. (2014). Use of pantothenate as a metabolic switch increases the genetic stability of farnesene producing Saccharomyces cerevisiae. Metabolic Engineering. 25. 215–226. 47 indexed citations
2.
Globisch, Daniel, Amira Y. Moreno, Mark S. Hixon, et al.. (2013). Onchocerca volvulus -neurotransmitter tyramine is a biomarker for river blindness. Proceedings of the National Academy of Sciences. 110(11). 4218–4223. 60 indexed citations
3.
Struss, Anjali K., Jill Waalen, Colin A. Lowery, et al.. (2013). Toward Implementation of Quorum Sensing Autoinducers as Biomarkers for Infectious Disease States. Analytical Chemistry. 85(6). 3355–3362. 31 indexed citations
4.
Denery, Judith R., Michael J. Cooney, & Qing X. Li. (2011). Diauxic and Antimicrobial Growth Phases of Streptomyces Tenjimariensis: Metabolite Profiling and Gene Expression. 1(1). 4 indexed citations
5.
Denery, Judith R., et al.. (2010). Metabolomics-Based Discovery of Diagnostic Biomarkers for Onchocerciasis. PLoS neglected tropical diseases. 4(10). e834–e834. 69 indexed citations
6.
Denery, Judith R., et al.. (2010). Characterization of Differences between Blood Sample Matrices in Untargeted Metabolomics. Analytical Chemistry. 83(3). 1040–1047. 86 indexed citations
7.
Wan, Xuehua, Jason R. Tuckerman, Jennifer A. Saito, et al.. (2009). Globins Synthesize the Second Messenger Bis-(3′–5′)-Cyclic Diguanosine Monophosphate in Bacteria. Journal of Molecular Biology. 388(2). 262–270. 76 indexed citations
8.
Denery, Judith R., Michael J. Cooney, & Qing X. Li. (2006). Metabolic profiling to reflect gene expression in Streptomyces tenjimariensis. Industrial Biotechnology. 2(1). 51–54. 1 indexed citations
9.
10.
Denery, Judith R., Klaus Dragull, C. S. Tang, & Qing X. Li. (2003). Pressurized fluid extraction of carotenoids from Haematococcus pluvialis and Dunaliella salina and kavalactones from Piper methysticum. Analytica Chimica Acta. 501(2). 175–181. 116 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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2026