David W. Meinke

9.8k total citations
81 papers, 7.5k citations indexed

About

David W. Meinke is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, David W. Meinke has authored 81 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 60 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in David W. Meinke's work include Plant Molecular Biology Research (40 papers), Plant Reproductive Biology (39 papers) and Plant tissue culture and regeneration (24 papers). David W. Meinke is often cited by papers focused on Plant Molecular Biology Research (40 papers), Plant Reproductive Biology (39 papers) and Plant tissue culture and regeneration (24 papers). David W. Meinke collaborates with scholars based in United States, Canada and Switzerland. David W. Meinke's co-authors include Edward C. Yeung, Maarten Koornneef, Linda H. Franzmann, Todd C. Nickle, David A. Patton, Chunming Liu, John P. Lloyd, Linda A. Castle, Colleen Sweeney and Stephen E. Schauer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

David W. Meinke

81 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Meinke United States 48 6.2k 5.8k 357 299 293 81 7.5k
Catherine Bellini France 47 7.3k 1.2× 6.4k 1.1× 309 0.9× 257 0.9× 217 0.7× 90 9.1k
Tomohiko Kato Japan 47 9.0k 1.4× 7.1k 1.2× 349 1.0× 388 1.3× 209 0.7× 77 10.6k
Chung‐Mo Park South Korea 57 10.3k 1.7× 7.8k 1.3× 244 0.7× 348 1.2× 293 1.0× 145 11.6k
Nobuhiro Tsutsumi Japan 50 4.9k 0.8× 4.1k 0.7× 435 1.2× 434 1.5× 463 1.6× 161 7.0k
Pil Joon Seo South Korea 51 8.0k 1.3× 6.1k 1.1× 186 0.5× 249 0.8× 246 0.8× 145 9.1k
Nicholas J. Provart Canada 43 6.8k 1.1× 6.3k 1.1× 305 0.9× 248 0.8× 736 2.5× 115 9.3k
Sean R. Cutler United States 42 9.2k 1.5× 5.0k 0.9× 299 0.8× 298 1.0× 188 0.6× 80 10.8k
Xing‐Wang Deng United States 45 7.6k 1.2× 7.5k 1.3× 292 0.8× 187 0.6× 454 1.5× 90 9.7k
Hongya Gu China 50 5.6k 0.9× 4.7k 0.8× 193 0.5× 411 1.4× 308 1.1× 119 6.8k
Ildoo Hwang South Korea 40 7.9k 1.3× 5.4k 0.9× 215 0.6× 211 0.7× 204 0.7× 75 8.7k

Countries citing papers authored by David W. Meinke

Since Specialization
Citations

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

Fields of papers citing papers by David W. Meinke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Meinke. 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 David W. Meinke. The network helps show where David W. Meinke may publish in the future.

Co-authorship network of co-authors of David W. Meinke

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Meinke. A scholar is included among the top collaborators of David W. Meinke 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 David W. Meinke. David W. Meinke 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.
Lloyd, John P. & David W. Meinke. (2012). A Comprehensive Dataset of Genes with a Loss-of-Function Mutant Phenotype in Arabidopsis    . PLANT PHYSIOLOGY. 158(3). 1115–1129. 122 indexed citations
2.
Bryant, Nicole, John P. Lloyd, Colleen Sweeney, Fumiyoshi Myouga, & David W. Meinke. (2010). Identification of Nuclear Genes Encoding Chloroplast-Localized Proteins Required for Embryo Development in Arabidopsis  . PLANT PHYSIOLOGY. 155(4). 1678–1689. 187 indexed citations
3.
Stonebloom, Solomon, Tessa M. Burch‐Smith, In-Soon Kim, et al.. (2009). Loss of the plant DEAD-box protein ISE1 leads to defective mitochondria and increased cell-to-cell transport via plasmodesmata. Proceedings of the National Academy of Sciences. 106(40). 17229–17234. 123 indexed citations
4.
Meinke, David W., et al.. (2008). Identifying essential genes in Arabidopsis thaliana. Trends in Plant Science. 13(9). 483–491. 186 indexed citations
5.
Sweeney, Colleen, et al.. (2007). A Bifunctional Locus (BIO3-BIO1) Required for Biotin Biosynthesis in Arabidopsis. PLANT PHYSIOLOGY. 146(1). 60–73. 42 indexed citations
6.
Berg, Michael, et al.. (2005). Requirement of aminoacyl‐tRNA synthetases for gametogenesis and embryo development in Arabidopsis. The Plant Journal. 44(5). 866–878. 110 indexed citations
7.
Meinke, David W., et al.. (2003). A Sequence-Based Map of Arabidopsis Genes with Mutant Phenotypes,. PLANT PHYSIOLOGY. 131(2). 409–418. 71 indexed citations
8.
Liu, Chunming, John McElver, Iris Tzafrir, et al.. (2002). Condensin and cohesin knockouts in Arabidopsis exhibit a titan seed phenotype. The Plant Journal. 29(4). 405–415. 100 indexed citations
9.
Schauer, Stephen E., Steven E. Jacobsen, David W. Meinke, & Animesh Ray. (2002). DICER-LIKE1: blind men and elephants in Arabidopsis development. Trends in Plant Science. 7(11). 487–491. 381 indexed citations
10.
Schomburg, Fritz M., David A. Patton, David W. Meinke, & Richard M. Amasino. (2001). FPA, a Gene Involved in Floral Induction in Arabidopsis, Encodes a Protein Containing RNA-Recognition Motifs. The Plant Cell. 13(6). 1427–1436. 97 indexed citations
11.
McElver, John, Iris Tzafrir, George Aux, et al.. (2001). Insertional Mutagenesis of Genes Required for Seed Development in Arabidopsis thaliana. Genetics. 159(4). 1751–1763. 253 indexed citations
12.
McElver, John, et al.. (2000). The TITAN5 Gene of Arabidopsis Encodes a Protein Related to the ADP Ribosylation Factor Family of GTP Binding Proteins. The Plant Cell. 12(8). 1379–1392. 85 indexed citations
13.
Meinke, David W.. (1994). 10 Seed Development in Arabidopsis thaliana. Cold Spring Harbor Monograph Archive. 27. 253–295. 23 indexed citations
14.
Castle, Linda A. & David W. Meinke. (1994). A FUSCA Gene of Arabidopsis Encodes a Novel Protein Essential for Plant Development. The Plant Cell. 6(1). 25–25. 10 indexed citations
15.
Vernon, Daniel M. & David W. Meinke. (1994). Embryogenic Transformation of the Suspensor in twin, a Polyembryonic Mutant of Arabidopsis. Developmental Biology. 165(2). 566–573. 119 indexed citations
16.
Yeung, Edward C. & David W. Meinke. (1993). Embryogenesis in Angiosperms: Development of the Suspensor.. The Plant Cell. 5(10). 1371–1381. 207 indexed citations
17.
Franzmann, Linda H., David A. Patton, & David W. Meinke. (1989). In vitro morphogenesis of arrested embryos from lethal mutants of Arabidopsis thaliana. Theoretical and Applied Genetics. 77(5). 609–616. 37 indexed citations
18.
Franzmann, Linda H., et al.. (1986). Growth in vitro of arrested embryos from lethal mutants ofArabidopsis thaliana. Theoretical and Applied Genetics. 72(5). 577–586. 41 indexed citations
19.
Marsden, Margery P. F. & David W. Meinke. (1985). Abnormal Development of the Suspensor in an Embryo-Lethal Mutant of Arabidopsis thaliana. American Journal of Botany. 72(11). 1801–1801. 14 indexed citations
20.
Meinke, David W.. (1982). Embryo-lethal mutants of Arabidopsis thaliana: Evidence for gametophytic expression of the mutant genes. Theoretical and Applied Genetics. 63(4). 381–386. 58 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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