David V. Thompson

1.7k total citations
19 papers, 1.3k citations indexed

About

David V. Thompson is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, David V. Thompson has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Biotechnology. Recurrent topics in David V. Thompson's work include CRISPR and Genetic Engineering (4 papers), Transgenic Plants and Applications (4 papers) and Plant tissue culture and regeneration (4 papers). David V. Thompson is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Transgenic Plants and Applications (4 papers) and Plant tissue culture and regeneration (4 papers). David V. Thompson collaborates with scholars based in United States, Netherlands and Spain. David V. Thompson's co-authors include Ken B. Idler, R. F. Barker, John D. Kemp, Richard F. Barker, Michael J. Adang, Paul J. J. Hooykaas, Leo S. Melchers, R. A. Schilperoort, Michael J. Staver and Thomas A. Rocheleau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Analytical Biochemistry.

In The Last Decade

David V. Thompson

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David V. Thompson United States 16 987 741 240 209 110 19 1.3k
Hui Duan United States 21 1.2k 1.2× 1.0k 1.4× 160 0.7× 221 1.1× 73 0.7× 40 1.7k
Ruth Haldeman‐Cahill United States 7 368 0.4× 728 1.0× 168 0.7× 113 0.5× 42 0.4× 8 934
Chunhong Wei China 25 505 0.5× 1.2k 1.6× 83 0.3× 239 1.1× 86 0.8× 36 1.6k
Sabine Grüschow United Kingdom 25 1.3k 1.3× 139 0.2× 172 0.7× 224 1.1× 265 2.4× 41 1.8k
R. Bhaskaran India 19 557 0.6× 583 0.8× 40 0.2× 65 0.3× 143 1.3× 61 1.3k
Guanglin Li China 21 1.2k 1.3× 750 1.0× 46 0.2× 65 0.3× 65 0.6× 52 1.8k
F.N. Chang United States 22 988 1.0× 144 0.2× 36 0.1× 189 0.9× 205 1.9× 44 1.2k
Sladjana Prišić United States 18 1.1k 1.1× 191 0.3× 59 0.2× 48 0.2× 196 1.8× 25 1.5k
Anne Morgat Switzerland 15 1.1k 1.1× 156 0.2× 118 0.5× 41 0.2× 172 1.6× 24 1.4k
Ryo Hanai Japan 25 1.4k 1.4× 397 0.5× 48 0.2× 26 0.1× 181 1.6× 92 1.8k

Countries citing papers authored by David V. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by David V. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David V. Thompson

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

All Works

19 of 19 papers shown
1.
Lieu, Pauline T., Thomas Machleidt, Bhaskar Thyagarajan, et al.. (2009). Generation of Site-Specific Retargeting Platform Cell Lines for Drug Discovery Using phiC31 and R4 Integrases. SLAS DISCOVERY. 14(10). 1207–1215. 22 indexed citations
2.
Piper, David R., William J. Frazee, Elizabeth A. Frey, et al.. (2008). Development of the Predictor hERG Fluorescence Polarization Assay Using a Membrane Protein Enrichment Approach. Assay and Drug Development Technologies. 6(2). 213–223. 37 indexed citations
3.
4.
Beckler, Gregory S., et al.. (2003). In Vitro Translation Using Rabbit Reticulocyte Lysate. Humana Press eBooks. 37. 215–232. 20 indexed citations
5.
Thompson, David V., et al.. (2003). Impacto de la asociación de cultivos en la densidad de insectos hemípteros entomófagos. 28(7). 415–420. 7 indexed citations
6.
Shaw, Peter, et al.. (1997). Reconstitution Premixes for Assays Using Purified Recombinant Human Cytochrome P450, NADPH-Cytochrome P450 Reductase, and Cytochromeb5. Archives of Biochemistry and Biophysics. 348(1). 107–115. 80 indexed citations
7.
Thompson, David V., et al.. (1990). Efficient site directedin vitromutagenesis using ampicillin selection. Nucleic Acids Research. 18(12). 3439–3443. 46 indexed citations
8.
Franssen, Henk, David V. Thompson, Ken B. Idler, et al.. (1990). Nucleotide sequence of two soybean ENOD2 early nodulin genes encoding Ngm-75. Plant Molecular Biology. 14(1). 103–106. 23 indexed citations
9.
Melchers, Leo S., Michael J. Maroney, Amke den Dulk‐Ras, et al.. (1990). Octopine and nopaline strains of Agrobacterium tumefaciens differ in virulence; molecular characterization of the virF locus. Plant Molecular Biology. 14(2). 249–259. 73 indexed citations
10.
Thompson, David V., Leo S. Melchers, Ken B. Idler, R. A. Schilperoort, & Paul J. J. Hooykaas. (1988). Analysis of the complete nucleotide sequence of theAgrobacterium tumefaciens virB operon. Nucleic Acids Research. 16(10). 4621–4636. 79 indexed citations
11.
Appelbaum, Edward R., David V. Thompson, Kenneth B. Idler, & Nicole Chartrain. (1988). Rhizobium japonicum USDA 191 has two nodD genes that differ in primary structure and function. Journal of Bacteriology. 170(1). 12–20. 70 indexed citations
12.
Merlo, Donald J. & David V. Thompson. (1987). In vitro sodium bisulfite mutagenesis of restriction endonuclease recognition sites. Analytical Biochemistry. 163(1). 79–87. 4 indexed citations
13.
Sekar, Vaithilingam, David V. Thompson, Michael J. Maroney, Roger G. Bookland, & Michael J. Adang. (1987). Molecular cloning and characterization of the insecticidal crystal protein gene of Bacillus thuringiensis var. tenebrionis. Proceedings of the National Academy of Sciences. 84(20). 7036–7040. 85 indexed citations
14.
Melchers, Leo S., David V. Thompson, Ken B. Idler, R. A. Schilperoort, & Paul J. J. Hooykaas. (1986). Nucleotide sequence of the virulence genevirGof theAgrobacterium tumefaciensoctopine Ti plasmid: significant homology betweenvirGand the regulatory genesompR,phoBanddyeofE. coli. Nucleic Acids Research. 14(24). 9933–9942. 59 indexed citations
15.
16.
Barker, Richard F., et al.. (1984). Nucieotide sequence of the maize transposable elementMul. Nucleic Acids Research. 12(15). 5955–5967. 112 indexed citations
17.
Barker, R. F., N. Jarvis, David V. Thompson, L. Sue Loesch‐Fries, & Ted Hall. (1983). Complete nucleotide sequence of alfalfa mosaic virus RNA3. Nucleic Acids Research. 11(9). 2881–2891. 71 indexed citations
18.
Barker, R. F., Ken B. Idler, David V. Thompson, & John D. Kemp. (1983). Nucleotide sequence of the T-DNA region from theA grobacterium tumefaciens octopine Ti plasmid pTi15955. Plant Molecular Biology. 2(6). 335–350. 302 indexed citations
19.
Fox, Irving H., Thomas D. Palella, David V. Thompson, & Charles A. Herring. (1982). Adenosine metabolism: Modification by S-adenosylhomocysteine and 5′-methylthioadenosine. Archives of Biochemistry and Biophysics. 215(1). 302–308. 25 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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