Wayne K. Versaw

2.1k total citations
31 papers, 1.6k citations indexed

About

Wayne K. Versaw is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Wayne K. Versaw has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 20 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Wayne K. Versaw's work include Plant nutrient uptake and metabolism (19 papers), Photosynthetic Processes and Mechanisms (8 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Wayne K. Versaw is often cited by papers focused on Plant nutrient uptake and metabolism (19 papers), Photosynthetic Processes and Mechanisms (8 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Wayne K. Versaw collaborates with scholars based in United States, Sweden and Hong Kong. Wayne K. Versaw's co-authors include Maria Harrison, L. René García, Susan L. Cuppett, Lorraine E. Williams, Robert L. Metzenberg, Christy M. Motes, Elison B. Blancaflor, Yong‐Mei Jin, Sonia Irigoyen and Laura A. Blaylock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Wayne K. Versaw

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
Wayne K. Versaw United States 17 1.2k 611 133 73 69 31 1.6k
Kathryn A. Schuller Australia 19 462 0.4× 342 0.6× 125 0.9× 142 1.9× 20 0.3× 39 1.0k
David E. Hanke United Kingdom 26 1.7k 1.5× 1.1k 1.8× 16 0.1× 75 1.0× 156 2.3× 66 2.2k
R. F. Beudeker Netherlands 13 634 0.5× 392 0.6× 216 1.6× 21 0.3× 67 1.0× 20 1.2k
Zanmin Hu China 23 1.4k 1.2× 954 1.6× 32 0.2× 24 0.3× 100 1.4× 71 2.1k
Gustavo Raúl Daleo Argentina 26 1.1k 1.0× 652 1.1× 25 0.2× 27 0.4× 204 3.0× 65 1.7k
Jean‐Claude Mollet France 25 1.6k 1.4× 1.3k 2.2× 98 0.7× 22 0.3× 63 0.9× 53 2.0k
Stephen M. G. Duff United States 18 1.4k 1.2× 701 1.1× 11 0.1× 12 0.2× 35 0.5× 32 1.9k
Krzysztof Zienkiewicz Poland 26 1.0k 0.9× 1.3k 2.2× 48 0.4× 20 0.3× 27 0.4× 68 2.2k
Pierre Frendo France 31 1.9k 1.6× 717 1.2× 8 0.1× 114 1.6× 55 0.8× 56 2.3k
Nuno Borges Portugal 17 215 0.2× 619 1.0× 27 0.2× 58 0.8× 163 2.4× 36 1.0k

Countries citing papers authored by Wayne K. Versaw

Since Specialization
Citations

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

Fields of papers citing papers by Wayne K. Versaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne K. Versaw. 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 Wayne K. Versaw. The network helps show where Wayne K. Versaw may publish in the future.

Co-authorship network of co-authors of Wayne K. Versaw

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne K. Versaw. A scholar is included among the top collaborators of Wayne K. Versaw 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 Wayne K. Versaw. Wayne K. Versaw 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.
Zhuo, Chunliu, et al.. (2025). A Role for the Plastidial GPT2 Translocator in the Modulation of Lignin Biosynthesis. Plant Cell & Environment. 48(9). 6458–6472. 2 indexed citations
2.
Kramer, David, et al.. (2024). Genetically manipulated chloroplast stromal phosphate levels alter photosynthetic efficiency. PLANT PHYSIOLOGY. 196(1). 385–396. 11 indexed citations
3.
Chiou, Tzyy‐Jen, et al.. (2020). Spatial Profiles of Phosphate in Roots Indicate Developmental Control of Uptake, Recycling, and Sequestration. PLANT PHYSIOLOGY. 184(4). 2064–2077. 20 indexed citations
4.
Voon, Chia Pao, Yuzhe Sun, Per Gardeström, et al.. (2018). ATP compartmentation in plastids and cytosol of Arabidopsis thaliana revealed by fluorescent protein sensing. Proceedings of the National Academy of Sciences. 115(45). E10778–E10787. 66 indexed citations
5.
Okumoto, Sakiko & Wayne K. Versaw. (2017). Genetically encoded sensors for monitoring the transport and concentration of nitrogen-containing and phosphorus-containing molecules in plants. Current Opinion in Plant Biology. 39. 129–135. 5 indexed citations
6.
García, L. René, et al.. (2016). Quantitative Imaging of FRET-Based Biosensors for Cell- and Organelle-Specific Analyses in Plants. Microscopy and Microanalysis. 22(2). 300–310. 13 indexed citations
7.
Versaw, Wayne K., et al.. (2015). Imaging Cellular Inorganic Phosphate in Caenorhabditis elegans Using a Genetically Encoded FRET-Based Biosensor. PLoS ONE. 10(10). e0141128–e0141128. 15 indexed citations
8.
Irigoyen, Sonia, et al.. (2011). The Sink-Specific Plastidic Phosphate Transporter PHT4;2 Influences Starch Accumulation and Leaf Size in Arabidopsis    . PLANT PHYSIOLOGY. 157(4). 1765–1777. 53 indexed citations
9.
Liu, Jinyuan, Wayne K. Versaw, Nathan Pumplin, et al.. (2008). Closely Related Members of the Medicago truncatula PHT1 Phosphate Transporter Gene Family Encode Phosphate Transporters with Distinct Biochemical Activities. Journal of Biological Chemistry. 283(36). 24673–24681. 81 indexed citations
10.
11.
Jin, Yong‐Mei, et al.. (2007). Functional analysis of the Arabidopsis PHT4 family of intracellular phosphate transporters. New Phytologist. 177(4). 889–898. 216 indexed citations
12.
Yuan, Jin, et al.. (2006). Rapid genetic mapping in Neurospora crassa. Fungal Genetics and Biology. 44(6). 455–465. 15 indexed citations
13.
Zhao, Liming, Wayne K. Versaw, Jinyuan Liu, & Maria Harrison. (2003). A phosphate transporter from Medicago truncatula is expressed in the photosynthetic tissues of the plant and located in the chloroplast envelope. New Phytologist. 157(2). 291–302. 41 indexed citations
14.
Maldonado‐Mendoza, Ignacio E., et al.. (2002). Methods to estimate the proportion of plant and fungal RNA in an arbuscular mycorrhiza. Mycorrhiza. 12(2). 67–74. 23 indexed citations
15.
Burleigh, Stephen, Igor Kardailsky, Ignacio E. Maldonado‐Mendoza, et al.. (2000). Transformation of Medicago truncatula via infiltration of seedlings or flowering plants with Agrobacterium. The Plant Journal. 22(6). 531–541. 170 indexed citations
16.
Forsberg, E. Camilla, et al.. (1999). Enhancement of β-Globin Locus Control Region-Mediated Transactivation by Mitogen-Activated Protein Kinases through Stochastic and Graded Mechanisms. Molecular and Cellular Biology. 19(8). 5565–5575. 13 indexed citations
17.
Versaw, Wayne K., Volker Blank, Nancy C. Andrews, & Emery H. Bresnick. (1998). Mitogen-activated protein kinases enhance long-range activation by the β-globin locus control region. Proceedings of the National Academy of Sciences. 95(15). 8756–8760. 14 indexed citations
18.
Versaw, Wayne K. & Robert L. Metzenberg. (1996). Intracellular Phosphate–Water Oxygen Exchange Measured by Mass Spectrometry. Analytical Biochemistry. 241(1). 14–17. 4 indexed citations
19.
Versaw, Wayne K. & Robert L. Metzenberg. (1996). Activator-independent gene expression in Neurospora crassa. Genetics. 142(2). 417–423. 6 indexed citations
20.
Versaw, Wayne K.. (1995). A phosphate-repressible, high-affinity phosphate permease is encoded by the pho-5+ gene of Neurospora crassa. Gene. 153(1). 135–139. 51 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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