Viktoriya Coneva

1.3k total citations
17 papers, 839 citations indexed

About

Viktoriya Coneva is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Viktoriya Coneva has authored 17 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Viktoriya Coneva's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Plant nutrient uptake and metabolism (4 papers). Viktoriya Coneva is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (7 papers) and Plant nutrient uptake and metabolism (4 papers). Viktoriya Coneva collaborates with scholars based in Canada, United States and United Kingdom. Viktoriya Coneva's co-authors include Joseph Colasanti, Daniel H. Chitwood, Steven J. Rothstein, Akiko Kozaki, Reynald Tremblay, Barbara K. Mable, Tong Zhu, Margaret H. Frank, Yong‐Mei Bi and José A. Casaretto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Viktoriya Coneva

17 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktoriya Coneva Canada 14 729 368 182 66 57 17 839
Sara Pinosio Italy 12 420 0.6× 298 0.8× 267 1.5× 41 0.6× 42 0.7× 20 669
Cândida Nibau United Kingdom 19 1.3k 1.8× 890 2.4× 116 0.6× 66 1.0× 52 0.9× 30 1.5k
Niklas Mähler Sweden 10 458 0.6× 393 1.1× 144 0.8× 47 0.7× 79 1.4× 13 660
Chuanbei Jiang China 5 439 0.6× 186 0.5× 343 1.9× 26 0.4× 36 0.6× 5 664
Nicolas Pouilly France 13 438 0.6× 206 0.6× 119 0.7× 50 0.8× 53 0.9× 20 553
Jacob D. Washburn United States 13 488 0.7× 358 1.0× 239 1.3× 57 0.9× 103 1.8× 31 720
Piotr Tomasz Bednarek Poland 18 893 1.2× 616 1.7× 159 0.9× 40 0.6× 73 1.3× 72 1.1k
Jinshun Zhong United States 14 413 0.6× 316 0.9× 131 0.7× 62 0.9× 227 4.0× 21 615
Kirin Demuynck Belgium 13 672 0.9× 429 1.2× 89 0.5× 45 0.7× 24 0.4× 17 797
Brandon Schlautman United States 19 485 0.7× 156 0.4× 136 0.7× 118 1.8× 54 0.9× 40 677

Countries citing papers authored by Viktoriya Coneva

Since Specialization
Citations

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

Fields of papers citing papers by Viktoriya Coneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktoriya Coneva

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

All Works

17 of 17 papers shown
1.
Kocsisova, Zuzana & Viktoriya Coneva. (2023). Strategies for delivery of CRISPR/Cas-mediated genome editing to obtain edited plants directly without transgene integration. SHILAP Revista de lepidopterología. 5. 1209586–1209586. 25 indexed citations
2.
Minow, Mark A.A., et al.. (2022). Plant gene silencing signals move from the phloem to influence gene expression in shoot apical meristems. BMC Plant Biology. 22(1). 606–606. 4 indexed citations
3.
Li, Mao, Viktoriya Coneva, Kelly R. Robbins, et al.. (2021). Quantitative dissection of color patterning in the foliar ornamental coleus. PLANT PHYSIOLOGY. 187(3). 1310–1324. 12 indexed citations
4.
Coneva, Viktoriya, et al.. (2020). Sterile Spikelets Contribute to Yield in Sorghum and Related Grasses. The Plant Cell. 32(11). 3500–3518. 28 indexed citations
5.
Coneva, Viktoriya & Daniel H. Chitwood. (2018). Genetic and Developmental Basis for Increased Leaf Thickness in the Arabidopsis Cvi Ecotype. Frontiers in Plant Science. 9. 322–322. 27 indexed citations
6.
Li, Mao, Margaret H. Frank, Viktoriya Coneva, et al.. (2018). The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology. PLANT PHYSIOLOGY. 177(4). 1382–1395. 40 indexed citations
7.
Coneva, Viktoriya, Margaret H. Frank, María Angels de Luis Balaguer, et al.. (2017). Genetic Architecture and Molecular Networks Underlying Leaf Thickness in Desert-Adapted Tomato Solanum pennellii. PLANT PHYSIOLOGY. 175(1). 376–391. 26 indexed citations
8.
Coneva, Viktoriya, Margaret H. Frank, John R. Tuttle, et al.. (2016). Modifications to a LATE MERISTEM IDENTITY1 gene are responsible for the major leaf shapes of Upland cotton ( Gossypium hirsutum L.). Proceedings of the National Academy of Sciences. 114(1). E57–E66. 85 indexed citations
9.
Lu, Guangwen, Viktoriya Coneva, José A. Casaretto, et al.. (2015). OsPIN5b modulates rice (Oryza sativa) plant architecture and yield by changing auxin homeostasis, transport and distribution. The Plant Journal. 83(5). 913–925. 117 indexed citations
10.
Coneva, Viktoriya & Daniel H. Chitwood. (2015). Plant architecture without multicellularity: quandaries over patterning and the soma-germline divide in siphonous algae. Frontiers in Plant Science. 6. 287–287. 24 indexed citations
11.
Coneva, Viktoriya, José A. Casaretto, Ashraf El‐Kereamy, et al.. (2014). Metabolic and co-expression network-based analyses associated with nitrate response in rice. BMC Genomics. 15(1). 1056–1056. 35 indexed citations
12.
Rothstein, Steven J., Yan Bi, Viktoriya Coneva, Mei Han, & Allen G. Good. (2014). The challenges of commercializing second-generation transgenic crop traits necessitate the development of international public sector research infrastructure. Journal of Experimental Botany. 65(19). 5673–5682. 10 indexed citations
13.
Coneva, Viktoriya, David Guevara, Steven J. Rothstein, & Joseph Colasanti. (2012). Transcript and metabolite signature of maize source leaves suggests a link between transitory starch to sucrose balance and the autonomous floral transition. Journal of Experimental Botany. 63(14). 5079–5092. 39 indexed citations
14.
Coneva, Viktoriya, et al.. (2011). ZCN8 encodes a potential orthologue of Arabidopsis FT florigen that integrates both endogenous and photoperiod flowering signals in maize. Journal of Experimental Botany. 62(14). 4833–4842. 103 indexed citations
15.
Colasanti, Joseph & Viktoriya Coneva. (2009). Mechanisms of Floral Induction in Grasses: Something Borrowed, Something New. PLANT PHYSIOLOGY. 149(1). 56–62. 85 indexed citations
16.
Coneva, Viktoriya, Tong Zhu, & Joseph Colasanti. (2007). Expression differences between normal and indeterminate1 maize suggest downstream targets of ID1, a floral transition regulator in maize. Journal of Experimental Botany. 58(13). 3679–3693. 52 indexed citations
17.
Colasanti, Joseph, et al.. (2006). The maize INDETERMINATE1 flowering time regulator defines a highly conserved zinc finger protein family in higher plants. BMC Genomics. 7(1). 158–158. 127 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sara Pinosio Breakdown of academic impact, for papers by Cândida Nibau Breakdown of academic impact, for papers by Niklas Mähler Breakdown of academic impact, for papers by Chuanbei Jiang Breakdown of academic impact, for papers by Nicolas Pouilly Breakdown of academic impact, for papers by Jacob D. Washburn Breakdown of academic impact, for papers by Piotr Tomasz Bednarek Breakdown of academic impact, for papers by Jinshun Zhong Breakdown of academic impact, for papers by Kirin Demuynck Breakdown of academic impact, for papers by Brandon Schlautman
Rankless by CCL
2026