Wayne R. Curtis

3.4k total citations
90 papers, 2.3k citations indexed

About

Wayne R. Curtis is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Wayne R. Curtis has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 46 papers in Plant Science and 15 papers in Biotechnology. Recurrent topics in Wayne R. Curtis's work include Plant tissue culture and regeneration (46 papers), Plant nutrient uptake and metabolism (22 papers) and Transgenic Plants and Applications (14 papers). Wayne R. Curtis is often cited by papers focused on Plant tissue culture and regeneration (46 papers), Plant nutrient uptake and metabolism (22 papers) and Transgenic Plants and Applications (14 papers). Wayne R. Curtis collaborates with scholars based in United States, India and Bulgaria. Wayne R. Curtis's co-authors include John A. Myers, Brandon Curtis, Megerle L. Scherholz, ALDEN H. EMERY, Sergio Florez, Hector E. Flores, Nymul E. Khan, Siela N. Maximova, Mark J. Guiltinan and Gurmeet Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Wayne R. Curtis

88 papers receiving 2.2k 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 R. Curtis United States 28 1.5k 866 483 457 333 90 2.3k
Nancy L. Engle United States 33 1.7k 1.1× 1.3k 1.5× 367 0.8× 1.4k 3.1× 299 0.9× 92 3.6k
F. Reyes Spain 28 1.1k 0.7× 1.1k 1.2× 259 0.5× 225 0.5× 117 0.4× 83 2.2k
Éric Gelhaye France 36 3.1k 2.1× 2.0k 2.3× 320 0.7× 486 1.1× 134 0.4× 114 4.9k
Ryuichiro Kurane Japan 32 1.1k 0.7× 424 0.5× 267 0.6× 464 1.0× 166 0.5× 108 2.8k
Marilyn G. Wiebe Finland 33 2.3k 1.5× 746 0.9× 578 1.2× 1.3k 2.8× 553 1.7× 114 3.9k
A. Steinbüchel Germany 26 1.5k 1.0× 256 0.3× 408 0.8× 558 1.2× 135 0.4× 53 2.6k
Akio Tani Japan 28 1.3k 0.8× 750 0.9× 120 0.2× 355 0.8× 145 0.4× 105 2.7k
C. Bucke United Kingdom 23 1.1k 0.7× 448 0.5× 344 0.7× 458 1.0× 173 0.5× 55 2.0k
Javier Pozueta‐Romero Spain 35 1.9k 1.3× 2.8k 3.2× 424 0.9× 307 0.7× 143 0.4× 111 4.3k

Countries citing papers authored by Wayne R. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Wayne R. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne R. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne R. Curtis. A scholar is included among the top collaborators of Wayne R. Curtis 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 R. Curtis. Wayne R. Curtis 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.
Polston, Jane E., et al.. (2024). Enabling biocontained plant virus transmission studies through establishment of an axenic whitefly (Bemisia tabaci) colony on plant tissue culture. Scientific Reports. 14(1). 28169–28169. 2 indexed citations
2.
Lai, Tina, et al.. (2022). CO2 supplementation eliminates sugar-rich media requirement for plant propagation using a simple inexpensive temporary immersion photobioreactor. Plant Cell Tissue and Organ Culture (PCTOC). 150(1). 57–71. 7 indexed citations
3.
Deguchi, Michihito, et al.. (2022). In planta Female Flower Agroinfiltration Alters the Cannabinoid Composition in Industrial Hemp (Cannabis sativa L.). Frontiers in Plant Science. 13. 921970–921970. 9 indexed citations
4.
Curtis, Wayne R., et al.. (2021). Genome analysis of alginate synthesizing Pseudomonas aeruginosa strain SW1 isolated from degraded seaweeds. Antonie van Leeuwenhoek. 114(12). 2205–2217. 3 indexed citations
5.
Florez, Sergio, et al.. (2017). Inducible somatic embryogenesis in Theobroma cacao achieved using the DEX-activatable transcription factor-glucocorticoid receptor fusion. Biotechnology Letters. 39(11). 1747–1755. 23 indexed citations
6.
Curtis, Wayne R., et al.. (2016). Expression and characterization of alkaline protease from the metagenomic library of tannery activated sludge. Journal of Bioscience and Bioengineering. 122(6). 694–700. 26 indexed citations
7.
Florez, Sergio, et al.. (2015). Enhanced somatic embryogenesis in Theobroma cacao using the homologous BABY BOOM transcription factor. BMC Plant Biology. 15(1). 121–121. 118 indexed citations
8.
Curtis, Wayne R., et al.. (2013). Consortia-mediated bioprocessing of cellulose to ethanol with a symbiotic Clostridium phytofermentans/yeast co-culture. Biotechnology for Biofuels. 6(1). 59–59. 134 indexed citations
9.
Scherholz, Megerle L. & Wayne R. Curtis. (2013). Achieving pH control in microalgal cultures through fed-batch addition of stoichiometrically-balanced growth media. BMC Biotechnology. 13(1). 39–39. 111 indexed citations
10.
11.
Curtis, Wayne R., et al.. (2012). Developing symbiotic consortia for lignocellulosic biofuel production. Applied Microbiology and Biotechnology. 93(4). 1423–1435. 111 indexed citations
12.
Curtis, Wayne R., et al.. (2008). Scale‐Up of Agrobacterium‐Mediated Transient Protein Expression in Bioreactor‐Grown Nicotiana glutinosa Plant Cell Suspension Culture. Biotechnology Progress. 24(2). 372–376. 25 indexed citations
13.
Mason, Hugh S., et al.. (2007). Agrobacterium-Mediated Viral Vector-Amplified Transient Gene Expression in Nicotiana glutinosa Plant Tissue Culture. Biotechnology Progress. 23(3). 570–576. 18 indexed citations
14.
Curtis, Wayne R., et al.. (2005). Comparison of Transient Protein Expression in Tobacco Leaves and Plant Suspension Culture. Biotechnology Progress. 21(3). 946–952. 35 indexed citations
15.
Curtis, Wayne R., et al.. (2001). Intrinsic Oxygen Use Kinetics of Transformed Plant Root Culture. Biotechnology Progress. 17(3). 481–489. 33 indexed citations
16.
Curtis, Wayne R., et al.. (1999). Development of a Low Capital Investment Reactor System: Application for Plant Cell Suspension Culture. Biotechnology Progress. 15(1). 114–122. 31 indexed citations
17.
Raina, Satish, et al.. (1999). Direct Agrobacterium tumefaciens-Mediated Transformation of Hyoscyamus muticus Hairy Roots Using Green Fluorescent Protein. Biotechnology Progress. 15(2). 278–282. 4 indexed citations
18.
Singh, Gurmeet, et al.. (1998). Interaction of methyl jasmonate, wounding and fungal elicitation during sesquiterpene induction in Hyoscyamus muticus in root cultures. Plant Cell Reports. 17(5). 391–395. 68 indexed citations
19.
Curtis, Wayne R. & ALDEN H. EMERY. (1993). Plant cell suspension culture rheology. Biotechnology and Bioengineering. 42(4). 520–526. 48 indexed citations
20.
Curtis, Wayne R., et al.. (1984). Data from studies of previous radioactive waste disposal in Massachusetts Bay. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49(12). 1214–22. 5 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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