Jacob D. Wickham

3.0k total citations · 1 hit paper
43 papers, 2.3k citations indexed

About

Jacob D. Wickham is a scholar working on Insect Science, Ecology and Plant Science. According to data from OpenAlex, Jacob D. Wickham has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Insect Science, 29 papers in Ecology and 10 papers in Plant Science. Recurrent topics in Jacob D. Wickham's work include Forest Insect Ecology and Management (27 papers), Insect-Plant Interactions and Control (12 papers) and Entomopathogenic Microorganisms in Pest Control (12 papers). Jacob D. Wickham is often cited by papers focused on Forest Insect Ecology and Management (27 papers), Insect-Plant Interactions and Control (12 papers) and Entomopathogenic Microorganisms in Pest Control (12 papers). Jacob D. Wickham collaborates with scholars based in China, United States and Russia. Jacob D. Wickham's co-authors include A. Paul Alivisatos, Xiaogang Peng, Jianghua Sun, Stephen A. Teale, Jocelyn G. Millar, Lawrence M. Hanks, Min Lu, Lilin Zhao, Zhichun Xu and Longwa Zhang and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

In The Last Decade

Jacob D. Wickham

41 papers receiving 2.2k citations

Hit Papers

Kinetics of II-VI and III-V Colloidal Semiconductor Nanoc... 1998 2026 2007 2016 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob D. Wickham China 16 1.4k 931 527 408 315 43 2.3k
Isamu Shimizu Japan 33 2.2k 1.5× 2.4k 2.5× 351 0.7× 149 0.4× 146 0.5× 243 3.7k
Shuang Zhang China 24 537 0.4× 190 0.2× 94 0.2× 142 0.3× 120 0.4× 88 1.8k
A. Perrard France 22 415 0.3× 300 0.3× 643 1.2× 153 0.4× 70 0.2× 46 1.9k
Jiyu Xu China 18 374 0.3× 250 0.3× 240 0.5× 54 0.1× 97 0.3× 48 1.1k
Johannes Frisch Germany 26 1.1k 0.8× 2.4k 2.6× 65 0.1× 86 0.2× 249 0.8× 94 3.3k
L.H.C. Andrade Brazil 28 1.2k 0.8× 475 0.5× 214 0.4× 20 0.0× 99 0.3× 145 2.3k
G. Allard France 27 695 0.5× 1.1k 1.2× 45 0.1× 88 0.2× 159 0.5× 101 2.2k
Zoran Ristić Serbia 32 1.2k 0.9× 692 0.7× 86 0.2× 70 0.2× 455 1.4× 118 3.4k
Dongzhen Li China 26 892 0.6× 1.2k 1.3× 241 0.5× 53 0.1× 46 0.1× 130 2.0k
Martin Pfeiffer Germany 55 2.9k 2.0× 9.7k 10.4× 81 0.2× 374 0.9× 481 1.5× 154 11.4k

Countries citing papers authored by Jacob D. Wickham

Since Specialization
Citations

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

Fields of papers citing papers by Jacob D. Wickham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob D. Wickham. 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 Jacob D. Wickham. The network helps show where Jacob D. Wickham may publish in the future.

Co-authorship network of co-authors of Jacob D. Wickham

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob D. Wickham. A scholar is included among the top collaborators of Jacob D. Wickham 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 Jacob D. Wickham. Jacob D. Wickham 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.
Zhang, Qinghe, et al.. (2025). Silencing the β-glucan recognition protein enhanced the pathogenicity of Cordyceps fumosorose against Hyphantria cunea Drury larvae. Pesticide Biochemistry and Physiology. 211. 106415–106415. 1 indexed citations
2.
3.
Zhi, Liang, Min Zhou, Shengnan Zhang, et al.. (2024). Distribution, Residue Dynamics, and Insecticidal Efficacy of Trunk-Injected Emamectin Benzoate in Pecan Trees. Forests. 15(3). 535–535. 3 indexed citations
5.
Wu, Mengting, et al.. (2024). Swift regulation of nicotinic acetylcholine receptors (nAChRs) and glutathione S-transferase (GST) enables the rapid detoxification of thiacloprid in pine sawyer beetles. Pesticide Biochemistry and Physiology. 203. 105996–105996. 3 indexed citations
6.
Sun, Jing, Wenjing Zhang, Yifan Pan, et al.. (2024). HcGr76 responds to fructose and chlorogenic acid and is involved in regulation of peptide expression in the midgut of Hyphantria cunea larvae. Pest Management Science. 80(11). 5672–5683. 1 indexed citations
7.
Fan, Jianting, et al.. (2023). Electrophysiological and Behavioral Responses of Batocera horsfieldi Hope to Volatiles from Pistacia chinensis Bunge. Insects. 14(12). 911–911. 5 indexed citations
8.
Cooperband, Miriam F., et al.. (2023). Factors Guiding the Orientation of Nymphal Spotted Lanternfly, Lycorma delicatula. Insects. 14(3). 279–279. 8 indexed citations
9.
Sun, Jianghua, et al.. (2023). Emerald Ash Borer Management and Research: Decades of Damage and Still Expanding. Annual Review of Entomology. 69(1). 239–258. 22 indexed citations
10.
Yuan, Hang, et al.. (2022). Associated bacteria of a pine sawyer beetle confer resistance to entomopathogenic fungi via fungal growth inhibition. Environmental Microbiome. 17(1). 47–47. 24 indexed citations
11.
Liu, Fang‐Hua, et al.. (2020). An invasive beetle–fungus complex is maintained by fungal nutritional-compensation mediated by bacterial volatiles. The ISME Journal. 14(11). 2829–2842. 18 indexed citations
12.
Wickham, Jacob D., Rong Tang, Yujing Zhang, et al.. (2020). First description and comparison of the morphological and ultramicro characteristics of the antennal sensilla of two fir longhorn beetles. PLoS ONE. 15(10). e0241115–e0241115. 7 indexed citations
13.
Zhang, Bin, Lilin Zhao, Jing Ning, et al.. (2020). miR-31-5p regulates cold acclimation of the wood-boring beetle Monochamus alternatus via ascaroside signaling. BMC Biology. 18(1). 184–184. 21 indexed citations
14.
Zhao, Lilin, Faheem Ahmad, Min Lu, et al.. (2018). Ascarosides Promote the Prevalence of Ophiostomatoid Fungi and an Invasive Pathogenic Nematode, Bursaphelenchus xylophilus. Journal of Chemical Ecology. 44(7-8). 701–710. 20 indexed citations
15.
Cheng, Chihang, Jacob D. Wickham, Li Chen, et al.. (2018). Bacterial microbiota protect an invasive bark beetle from a pine defensive compound. Microbiome. 6(1). 132–132. 74 indexed citations
16.
Xu, Tian, Hiroe Yasui, Stephen A. Teale, et al.. (2017). Identification of a male-produced sex-aggregation pheromone for a highly invasive cerambycid beetle, Aromia bungii. Scientific Reports. 7(1). 7330–7330. 31 indexed citations
18.
Xu, Tian, Jacob D. Wickham, Yi Chen, et al.. (2015). Identification of a Male-Produced Pheromone Component of the Citrus Longhorned Beetle, Anoplophora chinensis. PLoS ONE. 10(8). e0134358–e0134358. 28 indexed citations
19.
Wickham, Jacob D., Wen Lu, Jin Tao, et al.. (2015). Prionic Acid: An Effective Sex Attractant for an Important Pest of Sugarcane,Dorysthenes granulosus(Coleoptera: Cerambycidae: Prioninae). Journal of Economic Entomology. 109(1). 484–486. 7 indexed citations
20.
Teale, Stephen A., Jacob D. Wickham, Feiping Zhang, et al.. (2011). A Male-Produced Aggregation Pheromone of Monochamus alternatus (Coleoptera: Cerambycidae), a Major Vector of Pine Wood Nematode. Journal of Economic Entomology. 104(5). 1592–1598. 92 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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