David Quist

1.2k total citations
10 papers, 684 citations indexed

About

David Quist is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, David Quist has authored 10 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Plant Science and 2 papers in Genetics. Recurrent topics in David Quist's work include Genetically Modified Organisms Research (8 papers), CRISPR and Genetic Engineering (6 papers) and Insect Resistance and Genetics (3 papers). David Quist is often cited by papers focused on Genetically Modified Organisms Research (8 papers), CRISPR and Genetic Engineering (6 papers) and Insect Resistance and Genetics (3 papers). David Quist collaborates with scholars based in United States, Austria and South Africa. David Quist's co-authors include Ignacio H. Chapela, Philippe Grandjean, Steffen Foss Hansen, Malcolm MacGarvin, David Gee, D.A. Stanners, Gitte Nielsen, Jack A. Heinemann, Brigitta Kurenbach and András Székács and has published in prestigious journals such as Nature, International Journal of Molecular Sciences and Environment International.

In The Last Decade

David Quist

10 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Quist United States	7	407	336	105	97	66	10	684
G. J. Persley Netherlands	14	583 1.4×	200 0.6×	70 0.7×	98 1.0×	45 0.7×	66	836
Dominique Cellier France	10	277 0.7×	209 0.6×	97 0.9×	21 0.2×	56 0.8×	16	492
Klaus Ammann Switzerland	12	381 0.9×	175 0.5×	59 0.6×	43 0.4×	35 0.5×	36	554
Hayley Hesseln Canada	18	276 0.7×	219 0.7×	46 0.4×	27 0.3×	31 0.5×	37	813
Sylvie Bonny France	9	365 0.9×	158 0.5×	20 0.2×	113 1.2×	22 0.3×	26	579
Seth James Wechsler United States	10	318 0.8×	171 0.5×	40 0.4×	70 0.7×	20 0.3×	15	562
Suzanne Sharrock United Kingdom	17	603 1.5×	164 0.5×	37 0.4×	182 1.9×	8 0.1×	54	1.0k
Jeremy Sweet United Kingdom	14	524 1.3×	586 1.7×	73 0.7×	17 0.2×	30 0.5×	28	955
Daniela Soleri United States	17	605 1.5×	143 0.4×	220 2.1×	237 2.4×	9 0.1×	41	881
Anna Kristina Edenbrandt Sweden	13	396 1.0×	149 0.4×	56 0.5×	30 0.3×	18 0.3×	24	697

Countries citing papers authored by David Quist

Since Specialization

Citations

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

Fields of papers citing papers by David Quist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Quist

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

All Works

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10 of 10 papers shown

1.

Schmid, Sebastian, Alex Shimura Yamashita, David Quist, et al.. (2024). ERK signaling promotes resistance to TRK kinase inhibition in NTRK fusion-driven glioma mouse models. Cell Reports. 43(10). 114829–114829. 1 indexed citations

2.

Hochegger, Rupert, et al.. (2014). Mutation Scanning in a Single and a Stacked Genetically Modified (GM) Event by Real-Time PCR and High Resolution Melting (HRM) Analysis. International Journal of Molecular Sciences. 15(11). 19898–19923. 10 indexed citations

3.

Brandes, Christian, et al.. (2013). Evaluation of Adh1 alleles and transgenic soybean seeds using Scorpion PCR and HRM analysis. European Food Research and Technology. 237(2). 125–135. 4 indexed citations

4.

Gee, David, Philippe Grandjean, Steffen Foss Hansen, et al.. (2013). Late lessons from early warnings: science, precaution, innovation. 196 indexed citations

5.

Heinemann, Jack A., Brigitta Kurenbach, & David Quist. (2011). Molecular profiling — a tool for addressing emerging gaps in the comparative risk assessment of GMOs. Environment International. 37(7). 1285–1293. 31 indexed citations

6.

Quist, David. (2011). Direktoratet for Naturforvaltning. 12 indexed citations

7.

Székács, András, David Quist, Eszter Takács, et al.. (2011). Inter-laboratory comparison of Cry1Ab toxin quantification inMON 810maize by enzyme-immunoassay. Food and Agricultural Immunology. 23(2). 99–121. 16 indexed citations

8.

Quist, David & Ignacio H. Chapela. (2002). Suspect evidence of transgenic contamination/Maize transgene results in Mexico are artefacts (see editorial footnote). Nature. 416(6881). 602–602. 44 indexed citations

9.

Quist, David & Ignacio H. Chapela. (2001). Transgenic DNA introgressed into traditional maize landraces in Oaxaca, Mexico. Nature. 414(6863). 541–543. 366 indexed citations

10.

Quist, David & Ignacio H. Chapela. (2001). Transgenic DNA introgressed into traditional maize in Oaxaca, Mexico. 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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