Roxanne Denny

3.9k total citations
31 papers, 1.6k citations indexed

About

Roxanne Denny is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Roxanne Denny has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 5 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Roxanne Denny's work include Legume Nitrogen Fixing Symbiosis (24 papers), Soybean genetics and cultivation (16 papers) and Nematode management and characterization studies (13 papers). Roxanne Denny is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (24 papers), Soybean genetics and cultivation (16 papers) and Nematode management and characterization studies (13 papers). Roxanne Denny collaborates with scholars based in United States, Russia and France. Roxanne Denny's co-authors include Nevin D. Young, J. H. Orf, Joann Mudge, Vergel Concibido, D. Danesh, Peter Tiffin, Perry B. Cregan, Edward Fickus, Peng Zhou and Andrew Farmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Roxanne Denny

31 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roxanne Denny United States 21 1.4k 321 232 101 61 31 1.6k
Brian M. Hauge United States 10 1.5k 1.0× 984 3.1× 265 1.1× 45 0.4× 26 0.4× 14 1.8k
Khalil Kashkush Israel 21 2.3k 1.6× 1.2k 3.6× 443 1.9× 43 0.4× 157 2.6× 37 2.5k
V. K. Shumny Russia 17 824 0.6× 485 1.5× 113 0.5× 155 1.5× 34 0.6× 154 1.0k
Ibrokhim Y. Abdurakhmonov Uzbekistan 17 1.2k 0.8× 286 0.9× 221 1.0× 68 0.7× 40 0.7× 64 1.4k
Shumin Li China 16 745 0.5× 324 1.0× 73 0.3× 73 0.7× 67 1.1× 30 924
R. Appels Australia 25 1.7k 1.2× 808 2.5× 350 1.5× 58 0.6× 135 2.2× 38 2.0k
Pradeep Kumar Jain India 21 1.3k 0.9× 578 1.8× 196 0.8× 89 0.9× 70 1.1× 101 1.7k
Mei Shang United States 15 824 0.6× 558 1.7× 267 1.2× 36 0.4× 21 0.3× 47 1.3k
Elumalai Sivamani United States 19 939 0.7× 707 2.2× 47 0.2× 66 0.7× 30 0.5× 30 1.2k
Gaisheng Zhang China 19 947 0.7× 665 2.1× 112 0.5× 59 0.6× 53 0.9× 112 1.1k

Countries citing papers authored by Roxanne Denny

Since Specialization
Citations

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

Fields of papers citing papers by Roxanne Denny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxanne Denny

This figure shows the co-authorship network connecting the top 25 collaborators of Roxanne Denny. A scholar is included among the top collaborators of Roxanne Denny 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 Roxanne Denny. Roxanne Denny 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.
Guo, Tian, et al.. (2023). Scaling up agricultural conservation: Predictors of cover crop use across time and space in the US upper Midwest. Journal of Soil and Water Conservation. 78(4). 335–346. 4 indexed citations
2.
Miller, Jason, Peng Zhou, Joann Mudge, et al.. (2017). Hybrid assembly with long and short reads improves discovery of gene family expansions. BMC Genomics. 18(1). 541–541. 41 indexed citations
3.
Zhou, Peng, Kevin A.T. Silverstein, Thiruvarangan Ramaraj, et al.. (2017). Exploring structural variation and gene family architecture with De Novo assemblies of 15 Medicago genomes. BMC Genomics. 18(1). 261–261. 67 indexed citations
4.
Curtin, Shaun J., Peter Tiffin, Joseph Guhlin, et al.. (2017). Validating Genome-Wide Association Candidates Controlling Quantitative Variation in Nodulation. PLANT PHYSIOLOGY. 173(2). 921–931. 58 indexed citations
5.
Stanton‐Geddes, John, Timothy Paape, Brendan Epstein, et al.. (2013). Candidate Genes and Genetic Architecture of Symbiotic and Agronomic Traits Revealed by Whole-Genome, Sequence-Based Association Genetics in Medicago truncatula. PLoS ONE. 8(5). e65688–e65688. 119 indexed citations
6.
Ashfield, Tom, Ashley N. Egan, Bernard E. Pfeil, et al.. (2012). Evolution of a Complex Disease Resistance Gene Cluster in DiploidPhaseolusand TetraploidGlycine     . PLANT PHYSIOLOGY. 159(1). 336–354. 46 indexed citations
7.
Branca, Antoine, Timothy Paape, Peng Zhou, et al.. (2011). Whole-genome nucleotide diversity, recombination, and linkage disequilibrium in the model legume Medicago truncatula. Proceedings of the National Academy of Sciences. 108(42). E864–70. 175 indexed citations
8.
Mudge, Joann, Roxanne Denny, Dana K. Howe, et al.. (2004). Soybean bacterial artificial chromosome contigs anchored with RFLPs: insights into genome duplication and gene clustering. Genome. 47(2). 361–372. 18 indexed citations
9.
Cannon, Steven B., W. Richard McCombie, Shusei Sato, et al.. (2003). Evolution and microsynteny of the apyrase gene family in three legume genomes. Molecular Genetics and Genomics. 270(4). 347–361. 41 indexed citations
10.
Foster‐Hartnett, Dawn, Joann Mudge, Dariush Danesh, et al.. (2002). Comparative genomic analysis of sequences sampled from a small region on soybean (Glycine max) molecular linkage group G. Genome. 45(4). 634–645. 30 indexed citations
11.
Cohn, Jonathan, Taesik Uhm, Dong-Jin Kim, et al.. (2001). Differential Regulation of a Family of Apyrase Genes fromMedicago truncatula . PLANT PHYSIOLOGY. 125(4). 2104–2119. 39 indexed citations
12.
Marek, Laura F., Joann Mudge, David Grant, et al.. (2001). Soybean genomic survey: BAC-end sequences near RFLP and SSR markers. Genome. 44(4). 572–581. 14 indexed citations
13.
Marek, Laura F., Joann Mudge, David Grant, et al.. (2001). Soybean genomic survey: BAC-end sequences near RFLP and SSR markers. Genome. 44(4). 572–581. 54 indexed citations
14.
Orf, J. H., T. C. Helms, & Roxanne Denny. (2000). Registration of ‘UM‐3’ Soybean. Crop Science. 40(6). 1826–1827. 2 indexed citations
15.
Orf, J. H. & Roxanne Denny. (1999). Registration of ‘MN 0301’ Soybean. Crop Science. 39(2). 1825–1826. 2 indexed citations
16.
Cregan, Perry B., Joann Mudge, Edward Fickus, et al.. (1999). Two simple sequence repeat markers to select for soybean cyst nematode resistance coditioned by the rhg1 locus. Theoretical and Applied Genetics. 99(5). 811–818. 120 indexed citations
17.
Danesh, D., Silvia Peñuela, Joann Mudge, et al.. (1998). A bacterial artificial chromosome library for soybean and identification of clones near a major cyst nematode resistance gene. Theoretical and Applied Genetics. 96(2). 196–202. 73 indexed citations
18.
Orf, J. H. & Roxanne Denny. (1997). Registration of ‘Glacier’ Soybean. Crop Science. 37(4). 1386–1386. 4 indexed citations
19.
Concibido, Vergel, et al.. (1996). Targeted comparative genome analysis and qualitative mapping of a major partial-resistance gene to the soybean cyst nematode. Theoretical and Applied Genetics. 93-93(1-2). 234–241. 48 indexed citations
20.
Concibido, Vergel, et al.. (1996). RFLP Mapping and Marker‐Assisted Selection of Soybean Cyst Nematode Resistance in PI 209332. Crop Science. 36(6). 1643–1650. 67 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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