Carol Drees

482 total citations
8 papers, 313 citations indexed

About

Carol Drees is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Carol Drees has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Biotechnology and 4 papers in Plant Science. Recurrent topics in Carol Drees's work include Transgenic Plants and Applications (6 papers), Plant tissue culture and regeneration (6 papers) and CRISPR and Genetic Engineering (4 papers). Carol Drees is often cited by papers focused on Transgenic Plants and Applications (6 papers), Plant tissue culture and regeneration (6 papers) and CRISPR and Genetic Engineering (4 papers). Carol Drees collaborates with scholars based in United States and Germany. Carol Drees's co-authors include Elizabeth E. Hood, John A. Howard, Richard C. Clough, Michael E. Horn, Donna E. Delaney, Katherine K. Beifuss, Jeff Bray, Evelyn Callaway, Sangwoong Yoon and Maria Magallanes‐Lundback and has published in prestigious journals such as Plant Biotechnology Journal, Transgenic Research and In Vitro Cellular & Developmental Biology - Plant.

In The Last Decade

Carol Drees

8 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol Drees United States 7 247 214 118 79 35 8 313
Arthur J. Fellinger Netherlands 5 148 0.6× 72 0.3× 83 0.7× 43 0.5× 17 0.5× 7 190
Jette D. Kreiberg Denmark 6 242 1.0× 139 0.6× 252 2.1× 25 0.3× 30 0.9× 6 332
Carol Boyd United States 8 142 0.6× 116 0.5× 170 1.4× 34 0.4× 22 0.6× 9 322
Heng Cai China 13 275 1.1× 92 0.4× 17 0.1× 148 1.9× 43 1.2× 23 366
G. C. Ghosh Biswas Switzerland 9 343 1.4× 171 0.8× 230 1.9× 118 1.5× 8 0.2× 11 404
Canfang Niu China 12 317 1.3× 123 0.6× 274 2.3× 97 1.2× 43 1.2× 13 437
Martín I. Reggiardo Argentina 8 302 1.2× 104 0.5× 299 2.5× 18 0.2× 19 0.5× 9 362
Adrian R. Elliott Australia 11 526 2.1× 280 1.3× 449 3.8× 73 0.9× 8 0.2× 15 630
Xinyun Jing China 9 265 1.1× 39 0.2× 90 0.8× 121 1.5× 12 0.3× 14 357
J. G. M. Hessing Netherlands 7 254 1.0× 89 0.4× 76 0.6× 53 0.7× 6 0.2× 8 321

Countries citing papers authored by Carol Drees

Since Specialization
Citations

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

Fields of papers citing papers by Carol Drees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Drees

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

All Works

8 of 8 papers shown
1.
Yoon, Sangwoong, Shivakumar P. Devaiah, Jeff Bray, et al.. (2015). Over-expression of the cucumber expansin gene (Cs-EXPA1) in transgenic maize seed for cellulose deconstruction. Transgenic Research. 25(2). 173–186. 11 indexed citations
2.
Streatfield, Stephen J., Jeffrey D. Bray, Michael E. Horn, et al.. (2010). Identification of maize embryo-preferred promoters suitable for high-level heterologous protein production. PubMed. 1(3). 162–172. 9 indexed citations
3.
Hood, Elizabeth E., Jeff Bray, Richard C. Clough, et al.. (2007). Subcellular targeting is a key condition for high‐level accumulation of cellulase protein in transgenic maize seed. Plant Biotechnology Journal. 5(6). 709–719. 98 indexed citations
4.
Horn, Michael E., et al.. (2006). Use of hi ii-elite inbred hybrids in Agrobacterium-based transformation of maize. In Vitro Cellular & Developmental Biology - Plant. 42(4). 359–366. 15 indexed citations
5.
Clough, Richard C., Katherine K. Beifuss, Donna E. Delaney, et al.. (2005). Manganese peroxidase from the white‐rot fungus Phanerochaete chrysosporium is enzymatically active and accumulates to high levels in transgenic maize seed. Plant Biotechnology Journal. 4(1). 53–62. 21 indexed citations
6.
Lamphear, Barry J., Christopher Brooks, Donna E. Delaney, et al.. (2004). Expression of the sweet protein brazzein in maize for production of a new commercial sweetener. Plant Biotechnology Journal. 3(1). 103–114. 52 indexed citations
7.
Hood, Elizabeth E., Michele R. Bailey, Katherine K. Beifuss, et al.. (2003). Criteria for high‐level expression of a fungal laccase gene in transgenic maize. Plant Biotechnology Journal. 1(2). 129–140. 103 indexed citations
8.
Appel, David N., Carol Drees, & James B. Johnson. (1985). An extended range for oak wilt and Ceratocystis fagacearum compatibility types in the United States. Canadian Journal of Botany. 63(7). 1325–1328. 4 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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