Wenbing Ding

742 total citations
63 papers, 498 citations indexed

About

Wenbing Ding is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Wenbing Ding has authored 63 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 23 papers in Insect Science and 19 papers in Plant Science. Recurrent topics in Wenbing Ding's work include Insect Resistance and Genetics (20 papers), Insect-Plant Interactions and Control (17 papers) and Neurobiology and Insect Physiology Research (13 papers). Wenbing Ding is often cited by papers focused on Insect Resistance and Genetics (20 papers), Insect-Plant Interactions and Control (17 papers) and Neurobiology and Insect Physiology Research (13 papers). Wenbing Ding collaborates with scholars based in China, United States and Canada. Wenbing Ding's co-authors include Youzhi Li, Hualiang He, Lin Qiu, Xiaoyi Wei, Ping Tian, Rui Huang, Jin Xue, Qiao Gao, Liangxiong Xu and Zhongshi Zhou and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience and Molecules.

In The Last Decade

Wenbing Ding

56 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenbing Ding China 14 255 190 150 112 75 63 498
Wenxin Xue China 15 285 1.1× 320 1.7× 149 1.0× 100 0.9× 62 0.8× 34 606
Bingye Xue United States 14 195 0.8× 116 0.6× 277 1.8× 61 0.5× 55 0.7× 31 553
Wolfgang Schuehly Austria 16 228 0.9× 192 1.0× 106 0.7× 68 0.6× 137 1.8× 32 684
João Benhur Mokochinski Brazil 11 157 0.6× 166 0.9× 140 0.9× 72 0.6× 24 0.3× 21 547
Mi Yeon Chung South Korea 16 226 0.9× 187 1.0× 77 0.5× 62 0.6× 38 0.5× 26 532
Nianbai Fang United States 13 202 0.8× 115 0.6× 147 1.0× 87 0.8× 52 0.7× 34 389
Bo Hu China 19 808 3.2× 353 1.9× 449 3.0× 47 0.4× 46 0.6× 57 1.1k
Daping Gong China 9 259 1.0× 279 1.5× 210 1.4× 344 3.1× 265 3.5× 29 684
Takako Aboshi Japan 12 164 0.6× 216 1.1× 274 1.8× 19 0.2× 40 0.5× 32 483

Countries citing papers authored by Wenbing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wenbing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbing Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbing Ding. A scholar is included among the top collaborators of Wenbing Ding 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 Wenbing Ding. Wenbing Ding 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.
Zhu, Li, et al.. (2025). Carotid Plaque-RADS Score Combined with Pericarotid Fat Density—An Incremental Prediction Model for Stroke Recurrence. Academic Radiology. 32(8). 4807–4817. 1 indexed citations
2.
Zhu, Yujun, Qiao Gao, Wenbing Ding, et al.. (2025). Doublesex knockout via CRISPR/Cas9 disrupts fertility and sexual dimorphism of wings in the rice stem borer, Chilo suppressalis. Insect Biochemistry and Molecular Biology. 182. 104356–104356.
3.
4.
Zeng, Zhi Jiang, Hualiang He, Lin Qiu, et al.. (2024). Heterocyclic pseudoguaianolide oligomers and seco-pseudoguaianolide derivatives from the inflorescence of Ambrosia artemisiifolia. Phytochemistry. 231. 114354–114354. 1 indexed citations
5.
Wu, Ling, Yongqi Li, Wenbing Ding, et al.. (2024). Functional roles of nicotinic acetylcholine receptors in dinotefuran and flupyrimin toxicity and their sublethal effects on Sogatella furcifera (Hemiptera: Delphacidae). Journal of Economic Entomology. 117(6). 2618–2627. 1 indexed citations
6.
Gao, Xin, Yu‐Feng Lin, Zhengbing Zhang, et al.. (2024). Storage protein SfSP8 mediates larval starvation tolerance of Spodoptera frugiperda. Molecular Biology Reports. 51(1). 843–843. 1 indexed citations
7.
Wu, Shuang, Wenbing Ding, Hualiang He, et al.. (2023). Identification of the transcription factor E74A gene from Chilo suppressalis which is essential for vitellogenesis. Entomological Research. 53(3). 119–129. 3 indexed citations
8.
Qiu, Lin, Qiao Gao, Hualiang He, et al.. (2023). Transcriptomic Analysis Reveals the Detoxification Mechanism of Chilo suppressalis in Response to the Novel Pesticide Cyproflanilide. International Journal of Molecular Sciences. 24(6). 5461–5461. 7 indexed citations
9.
Wang, Qian, Man Zhou, Wenbing Ding, et al.. (2022). Securing Liveness Detection for Voice Authentication via Pop Noises. IEEE Transactions on Dependable and Secure Computing. 20(2). 1702–1718. 14 indexed citations
10.
Wu, Shuang, Yan Tang, Wenbing Ding, et al.. (2022). RNA interference knockdown of insulin receptor inhibits ovarian development in Chilo suppressalis. Molecular Biology Reports. 49(12). 11765–11773. 4 indexed citations
11.
Jiang, Ziyue Karen, et al.. (2020). Self-Supervised Spoofing Audio Detection Scheme. 4223–4227. 10 indexed citations
12.
Qiu, Lin, Li He, Xiaoping Tan, et al.. (2020). Identification and phylogenetics of Spodoptera frugiperda chemosensory proteins based on antennal transcriptome data. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 34. 100680–100680. 24 indexed citations
13.
Hu, Kui, Ping Tian, Lu Yang, et al.. (2019). Knockdown of Methoprene-Tolerant Arrests Ovarian Development in the Sogatella furcifera (Hemiptera: Delphacidae). Journal of Insect Science. 19(6). 14 indexed citations
14.
Tian, Ping, Yan Tang, Lu Yang, et al.. (2019). Molecular Characterization of Vitellogenin and Its Receptor in Sogatella furcifera, and Their Function in Oocyte Maturation. Frontiers in Physiology. 10. 1532–1532. 28 indexed citations
15.
Qiu, Lin, et al.. (2018). Transcriptomics reveal the molecular underpinnings of chemosensory proteins in Chlorops oryzae. BMC Genomics. 19(1). 890–890. 13 indexed citations
16.
Ding, Wenbing, Ye Li, Guanhua Li, et al.. (2016). New 30-Noroleanane Triterpenoid Saponins from Holboellia coriacea Diels. Molecules. 21(6). 734–734. 3 indexed citations
17.
Sun, Kai, et al.. (2014). EPG analysis of feeding behavior of Sogatella furcifera (Hemiptera: Delphacidae) on different rice varieties.. Acta Entomologica Sinica. 57(3). 335–342. 1 indexed citations
18.
Ding, Wenbing, Zi‐Hua Jiang, Ping Wu, Liangxiong Xu, & Xiaoyi Wei. (2012). Resin glycosides from the aerial parts of Operculina turpethum. Phytochemistry. 81. 165–174. 22 indexed citations
19.
Ding, Wenbing, et al.. (2009). Strong polarity components of Pogostemon cablin (Blance) Benth.. Redai yaredai zhiwu xuebao. 17(6). 610–616. 1 indexed citations
20.
Zhang, Jing, Bo Wang, Zhifeng Xiao, et al.. (2008). Olfactory ensheathing cells promote proliferation and inhibit neuronal differentiation of neural progenitor cells through activation of Notch signaling. Neuroscience. 153(2). 406–413. 21 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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