Charles P.‐C. Suh

792 total citations
74 papers, 597 citations indexed

About

Charles P.‐C. Suh is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Charles P.‐C. Suh has authored 74 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Insect Science, 40 papers in Plant Science and 26 papers in Molecular Biology. Recurrent topics in Charles P.‐C. Suh's work include Insect-Plant Interactions and Control (32 papers), Insect Resistance and Genetics (23 papers) and Research in Cotton Cultivation (19 papers). Charles P.‐C. Suh is often cited by papers focused on Insect-Plant Interactions and Control (32 papers), Insect Resistance and Genetics (23 papers) and Research in Cotton Cultivation (19 papers). Charles P.‐C. Suh collaborates with scholars based in United States, Germany and India. Charles P.‐C. Suh's co-authors include David B. Orr, John W. Van Duyn, D. W. Spurgeon, John K. Westbrook, Chenghai Yang, Jesus F. Esquivel, W. Clint Hoffmann, Yubin Lan, Thomas W. Sappington and Gregory A. Sword and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Planta.

In The Last Decade

Charles P.‐C. Suh

68 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles P.‐C. Suh United States 12 397 275 186 123 98 74 597
Nesreen M. Abd El-Ghany Egypt 11 211 0.5× 175 0.6× 93 0.5× 72 0.6× 65 0.7× 21 381
P. D. Kamala Jayanthi India 17 544 1.4× 344 1.3× 107 0.6× 87 0.7× 125 1.3× 110 798
Christine Shyu United States 8 326 0.8× 723 2.6× 312 1.7× 76 0.6× 106 1.1× 13 856
Jianfeng Liu China 12 251 0.6× 258 0.9× 117 0.6× 55 0.4× 123 1.3× 67 499
Fang‐Hua Liu China 15 336 0.8× 277 1.0× 156 0.8× 106 0.9× 159 1.6× 38 699
Kongming Wu China 18 850 2.1× 520 1.9× 749 4.0× 201 1.6× 188 1.9× 53 1.3k
Luís Fonseca Portugal 15 271 0.7× 510 1.9× 89 0.5× 201 1.6× 66 0.7× 39 645
Logan M. Higgins United States 5 116 0.3× 196 0.7× 190 1.0× 141 1.1× 104 1.1× 5 523
Mirian Fernandes Furtado Michereff Brazil 13 344 0.9× 234 0.9× 62 0.3× 48 0.4× 191 1.9× 27 446
David J. Hearn United States 18 232 0.6× 291 1.1× 256 1.4× 64 0.5× 400 4.1× 29 860

Countries citing papers authored by Charles P.‐C. Suh

Since Specialization
Citations

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

Fields of papers citing papers by Charles P.‐C. Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles P.‐C. Suh. 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 Charles P.‐C. Suh. The network helps show where Charles P.‐C. Suh may publish in the future.

Co-authorship network of co-authors of Charles P.‐C. Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Charles P.‐C. Suh. A scholar is included among the top collaborators of Charles P.‐C. Suh 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 Charles P.‐C. Suh. Charles P.‐C. Suh 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
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Perkin, Lindsey, Tanya A. Wagner, Jinggao Liu, et al.. (2024). Nematode-resistance loci in upland cotton genomes are associated with structural differences. G3 Genes Genomes Genetics. 14(9). 2 indexed citations
3.
Yang, Chenghai, Bradley K. Fritz, & Charles P.‐C. Suh. (2024). Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft. Precision Agriculture. 25(6). 2831–2852. 1 indexed citations
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Perkin, Lindsey, et al.. (2023). A New qPCR Assay for the Rapid Diagnosis of Anthonomus grandis Subspecies. Insects. 14(11). 845–845. 1 indexed citations
7.
Yang, Chenghai & Charles P.‐C. Suh. (2023). Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication. Computers and Electronics in Agriculture. 213. 108268–108268. 5 indexed citations
8.
Perkin, Lindsey, et al.. (2023). Amplicon Sequencing of Plant Material Links Cotton Fleahopper to Host Plants. ˜The œjournal of cotton science/Journal of cotton science. 27(1). 43–51. 2 indexed citations
9.
Suh, Charles P.‐C., et al.. (2023). Field Evaluation of Cotton Expressing Mpp51Aa2 as a Management Tool for Cotton Fleahoppers, Pseudatomoscelis seriatus (Reuter). Toxins. 15(11). 644–644. 5 indexed citations
10.
Suh, Charles P.‐C., et al.. (2023). Choice and No-Choice Feeding Assays of Cotton Fleahoppers (Pseudatomoscelis seriatus) on Cotton Expressing the Mpp51Aa2 Protein. Agronomy. 14(1). 84–84. 1 indexed citations
11.
Perkin, Lindsey, Sheina B. Sim, Amanda R. Stahlke, et al.. (2022). Insight into weevil biology from a reference quality genome of the boll weevil, Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae). G3 Genes Genomes Genetics. 13(2). 4 indexed citations
12.
Pandeya, Devendra, LeAnne M. Campbell, Lorraine S. Puckhaber, Charles P.‐C. Suh, & Keerti S. Rathore. (2022). Gossypol and related compounds are produced and accumulate in the aboveground parts of the cotton plant, independent of roots as the source. Planta. 257(1). 21–21. 3 indexed citations
13.
Dickens, C. Michael, Lindsey Perkin, Charles P.‐C. Suh, et al.. (2021). Population genomics and phylogeography of the boll weevil,Anthonomus grandisBoheman (Coleoptera: Curculionidae), in the United States, northern Mexico, and Argentina. Evolutionary Applications. 14(7). 1778–1793. 10 indexed citations
14.
Perkin, Lindsey, Brenda Oppert, Sara E. Duke, & Charles P.‐C. Suh. (2021). Assessment of DNA Integrity From Trap-Captured Boll Weevil (Coleoptera: Curculionidae) for Use in a New PCR-Based Diagnostic Tool. Journal of Economic Entomology. 114(3). 1321–1328. 4 indexed citations
15.
Helms, Anjel M., et al.. (2021). Foliar herbivory increases sucrose concentration in bracteal extrafloral nectar of cotton. PLoS ONE. 16(10). e0258836–e0258836. 4 indexed citations
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Esquivel, Jesus F., D. W. Spurgeon, & Charles P.‐C. Suh. (2004). Longevity of overwintered boll weevils (Coleoptera: Curculionidae) on pre-fruiting cotton. ˜The œjournal of cotton science/Journal of cotton science. 8(1). 11 indexed citations
18.
Spurgeon, D. W., Jesus F. Esquivel, & Charles P.‐C. Suh. (2004). Population Patterns of Mexican Corn Rootworm (Coleoptera: Chrysomelidae) Adults Indicated by Different Sampling Methods. Journal of Economic Entomology. 97(2). 687–694. 3 indexed citations
19.
Suh, Charles P.‐C., D. W. Spurgeon, & John K. Westbrook. (2002). Influence of Feeding Status and Physiological Condition on Supercooling Points of Adult Boll Weevils (Coleoptera: Curculionidae). Environmental Entomology. 31(5). 754–758. 16 indexed citations
20.
Suh, Charles P.‐C., David B. Orr, & John W. Van Duyn. (2000). Effect of Insecticides on <I>Trichogramma exiguum</I> (Trichogrammatidae: Hymenoptera) Preimaginal Development and Adult Survival. Journal of Economic Entomology. 93(3). 577–583. 118 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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2026