David G. Clark

6.0k total citations
94 papers, 4.5k citations indexed

About

David G. Clark is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David G. Clark has authored 94 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 43 papers in Molecular Biology and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David G. Clark's work include Plant Physiology and Cultivation Studies (33 papers), Postharvest Quality and Shelf Life Management (24 papers) and Plant biochemistry and biosynthesis (15 papers). David G. Clark is often cited by papers focused on Plant Physiology and Cultivation Studies (33 papers), Postharvest Quality and Shelf Life Management (24 papers) and Plant biochemistry and biosynthesis (15 papers). David G. Clark collaborates with scholars based in United States, Netherlands and United Kingdom. David G. Clark's co-authors include Harry J. Klee, Thomas A. Colquhoun, Denise M. Tieman, Beverly A. Underwood, Kenichi Shibuya, Terril A. Nell, Michelle L. Jones, Charles A. Sims, Andrew J. Simkin and Joo Young Kim and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and The Plant Cell.

In The Last Decade

David G. Clark

89 papers receiving 4.2k 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 G. Clark United States 33 3.0k 2.3k 775 562 460 94 4.5k
Mark G. Taylor United States 21 2.8k 0.9× 2.1k 0.9× 186 0.2× 576 1.0× 379 0.8× 33 3.8k
Irina Orlova United States 16 1.3k 0.4× 2.4k 1.0× 634 0.8× 346 0.6× 443 1.0× 20 3.4k
C. Peter Constabel Canada 36 3.1k 1.0× 3.0k 1.3× 551 0.7× 671 1.2× 311 0.7× 73 5.3k
Eyal Fridman Israel 29 2.1k 0.7× 1.9k 0.8× 255 0.3× 202 0.4× 356 0.8× 45 3.5k
P. D. S. Caligari United Kingdom 35 3.0k 1.0× 1.1k 0.5× 459 0.6× 312 0.6× 580 1.3× 174 3.9k
Denise M. Tieman United States 47 5.8k 1.9× 3.5k 1.5× 286 0.4× 932 1.7× 804 1.7× 76 7.4k
Fadi Chen China 44 5.2k 1.8× 4.5k 1.9× 637 0.8× 399 0.7× 272 0.6× 335 6.8k
Hely Häggman Finland 31 2.4k 0.8× 2.0k 0.9× 312 0.4× 562 1.0× 226 0.5× 112 3.3k
Mathilde Causse France 55 6.5k 2.2× 3.1k 1.3× 236 0.3× 587 1.0× 530 1.2× 121 7.8k
David F. Hildebrand United States 46 4.7k 1.6× 3.1k 1.3× 483 0.6× 274 0.5× 531 1.2× 170 6.6k

Countries citing papers authored by David G. Clark

Since Specialization
Citations

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

Fields of papers citing papers by David G. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Clark. A scholar is included among the top collaborators of David G. Clark 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 G. Clark. David G. Clark 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.
Clark, David G., et al.. (2024). Kenaf: Opportunities for an Ancient Fiber Crop. Agronomy. 14(7). 1542–1542. 6 indexed citations
2.
Zhang, Wenming, et al.. (2024). The discovery of indazapyroxamet: a novel 3‐pyridinyl insecticide targeting piercing/sucking insectsa. Pest Management Science. 81(5). 2419–2423. 3 indexed citations
3.
Clark, David G., et al.. (2019). Effects of Light Quality on Vegetative Cutting and In Vitro Propagation of Coleus (Plectranthus scutellarioides). HortScience. 54(5). 926–935. 20 indexed citations
4.
Gilbert, Jessica L., Salvador A. Gezan, Melissa Pisaroglo de Carvalho, et al.. (2015). Identifying Breeding Priorities for Blueberry Flavor Using Biochemical, Sensory, and Genotype by Environment Analyses. PLoS ONE. 10(9). e0138494–e0138494. 83 indexed citations
5.
Jaworski, Elizabeth, et al.. (2014). PhDAHP1 is required for floral volatile benzenoid/phenylpropanoid biosynthesis in Petunia × hybrida cv ‘Mitchell Diploid’. Phytochemistry. 103. 22–31. 16 indexed citations
6.
Robacker, Carol D., et al.. (2014). Ploidy Levels and Pollen Stainability of Lantana camara Cultivars and Breeding Lines. HortScience. 49(10). 1271–1276. 11 indexed citations
7.
Gilbert, Jessica L., Michael L. Schwieterman, Thomas A. Colquhoun, David G. Clark, & James W. Olmstead. (2013). Potential for Increasing Southern Highbush Blueberry Flavor Acceptance by Breeding for Major Volatile Components. HortScience. 48(7). 835–843. 26 indexed citations
8.
Tieman, Denise M., Peter Bliss, Lauren M. McIntyre, et al.. (2012). The Chemical Interactions Underlying Tomato Flavor Preferences. Current Biology. 22(11). 1035–1039. 278 indexed citations
9.
Colquhoun, Thomas A., Joo Young Kim, Michael L. Schwieterman, et al.. (2012). A peroxisomally localized acyl-activating enzyme is required for volatile benzenoid formation in a Petunia×hybrida cv. ‘Mitchell Diploid’ flower. Journal of Experimental Botany. 63(13). 4821–4833. 51 indexed citations
10.
Clark, David G., et al.. (2012). Using Mind Genomics® to Identify Essential Elements of a Flower Product. HortScience. 47(11). 1658–1665. 4 indexed citations
11.
Colquhoun, Thomas A., et al.. (2010). PhMYB4 fine-tunes the floral volatile signature of Petunia×hybrida through PhC4H. Journal of Experimental Botany. 62(3). 1133–1143. 120 indexed citations
12.
Shibuya, Kenichi & David G. Clark. (2006). Ethylene. Journal of Crop Improvement. 18(1-2). 391–412. 9 indexed citations
13.
Krizek, Donald T., Robert A. Saftner, Eun‐Hee Park, et al.. (2006). (176) Yield Data from 2005 and Instrumental and Sensory Evaluation of Tomato Fruits from Plants Grown in High Tunnels at Beltsville, Md., or Obtained from Commercial Sources. HortScience. 41(4). 1083A–1083. 5 indexed citations
14.
Barrett, James E., et al.. (2003). Uniconazole Application to Container Medium Surface Prior to Planting Bedding Plants. HortScience. 38(2). 169–172. 4 indexed citations
15.
Gubrium, Erika, et al.. (2000). Reproduction and Horticultural Performance of Transgenic Ethylene-insensitive Petunias. Journal of the American Society for Horticultural Science. 125(3). 277–281. 43 indexed citations
16.
Clark, David G., et al.. (2000). 469 Multi-faceted Approaches to Genetic Engineering of Petunia × hybrida for Delayed Leaf Senescence. HortScience. 35(3). 474F–475. 1 indexed citations
17.
Barrett, James E., et al.. (1999). Paclobutrazol Distribution following Application to Two Media as Determined by Bioassay. HortScience. 34(6). 1099–1102. 14 indexed citations
18.
Barrett, J., et al.. (1999). Inhibiting Growth of Flowering Crops with Ancymidol and Paclobutrazol in Subirrigation Water. HortScience. 34(6). 1103–1105. 21 indexed citations
19.
Barrett, J., et al.. (1998). Influence of Media Components on Efficacy of Paclobutrazol in Inhibiting Growth of Broccoli and Petunia. HortScience. 33(5). 852–856. 16 indexed citations
20.
Clark, David G., et al.. (1997). Application of Growth Retardants in Subirrigation Water. HortScience. 32(3). 509C–509. 1 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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Rankless by CCL
2026