Qiao‐Ping Wang

6.1k total citations
51 papers, 2.4k citations indexed

About

Qiao‐Ping Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, Qiao‐Ping Wang has authored 51 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Insect Science. Recurrent topics in Qiao‐Ping Wang's work include Neurobiology and Insect Physiology Research (11 papers), Adipose Tissue and Metabolism (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Qiao‐Ping Wang is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Adipose Tissue and Metabolism (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). Qiao‐Ping Wang collaborates with scholars based in China, Australia and United States. Qiao‐Ping Wang's co-authors include Zhao‐Rong Lun, Xing‐Quan Zhu, G. Gregory Neely, Anxing Li, Xiao‐Guang Chen, De‐Hua Lai, Xiaoguang Chen, Herbert Herzog, Zhongdao Wu and Stephen J. Simpson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Qiao‐Ping Wang

49 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiao‐Ping Wang China 23 683 660 483 395 276 51 2.4k
Doris Cully United States 24 552 0.8× 1.1k 1.7× 216 0.4× 516 1.3× 573 2.1× 38 2.9k
James P. McCarter United States 34 408 0.6× 1.1k 1.7× 505 1.0× 695 1.8× 78 0.3× 62 3.8k
Geórgia C. Atella Brazil 32 561 0.8× 878 1.3× 739 1.5× 168 0.4× 410 1.5× 156 3.0k
Zafar Iqbal Pakistan 29 219 0.3× 797 1.2× 125 0.3× 91 0.2× 180 0.7× 267 3.2k
Tim A. Day United States 32 289 0.4× 894 1.4× 288 0.6× 1.4k 3.5× 509 1.8× 81 3.3k
Sílvia González Monteiro Brazil 26 324 0.5× 494 0.7× 535 1.1× 182 0.5× 38 0.1× 271 2.8k
Paola Roncada Italy 33 125 0.2× 1.0k 1.6× 202 0.4× 161 0.4× 96 0.3× 118 3.0k
Sophie Tesseraud France 42 150 0.2× 1.2k 1.9× 164 0.3× 373 0.9× 120 0.4× 118 4.7k
Zhiliang Wu Japan 38 164 0.2× 1.1k 1.7× 66 0.1× 625 1.6× 503 1.8× 141 4.1k
Diyan Li China 33 201 0.3× 2.3k 3.5× 124 0.3× 180 0.5× 127 0.5× 253 4.1k

Countries citing papers authored by Qiao‐Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qiao‐Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiao‐Ping Wang. 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 Qiao‐Ping Wang. The network helps show where Qiao‐Ping Wang may publish in the future.

Co-authorship network of co-authors of Qiao‐Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiao‐Ping Wang. A scholar is included among the top collaborators of Qiao‐Ping Wang 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 Qiao‐Ping Wang. Qiao‐Ping Wang 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.
Wang, Qiao‐Ping, Anqi Li, Bei Wang, et al.. (2025). Sucralose uses reward pathways to promote acute caloric intake. Neuropeptides. 110. 102502–102502. 2 indexed citations
2.
Li, Shasha, Anqi Li, Zhiying Liu, et al.. (2024). Glutamine enhances sucrose taste through a gut microbiota-gut-brain axis in Drosophila. Life Sciences. 339. 122415–122415. 1 indexed citations
3.
Wang, Qiao‐Ping, et al.. (2024). Elastic Deep Sparse Self-Representation Subspace Clustering Network. Neural Processing Letters. 56(2). 5 indexed citations
4.
Li, Anqi, Shasha Li, Xinyuan Zhao, et al.. (2023). Nutritional geometry framework of sucrose taste in Drosophila. Journal of genetics and genomics. 50(4). 233–240. 4 indexed citations
5.
Wang, Bei, Arabella Wan, Xinyuan Zhao, et al.. (2023). Identification of indocyanine green as a STT3B inhibitor against mushroom α-amanitin cytotoxicity. Nature Communications. 14(1). 2241–2241. 18 indexed citations
6.
Lin, Ziyou, Arabella Wan, Lei Sun, et al.. (2022). N6-methyladenosine demethylase FTO enhances chemo-resistance in colorectal cancer through SIVA1-mediated apoptosis. Molecular Therapy. 31(2). 517–534. 56 indexed citations
7.
Liu, Xiu, Qiao‐Ping Wang, Chunjie Sha, et al.. (2021). Two novel human anti-CD25 antibodies with antitumor activity inversely related to their affinity and in vitro activity. Scientific Reports. 11(1). 22966–22966. 13 indexed citations
8.
Lau, Man-Tat, John Manion, Jamie B. Littleboy, et al.. (2019). Molecular dissection of box jellyfish venom cytotoxicity highlights an effective venom antidote. Nature Communications. 10(1). 1655–1655. 37 indexed citations
9.
Liu, Chuanlan, Lihua Dong, Zhen Sun, et al.. (2018). Esculentoside A suppresses breast cancer stem cell growth through stemness attenuation and apoptosis induction by blocking IL‐6/STAT3 signaling pathway. Phytotherapy Research. 32(11). 2299–2311. 34 indexed citations
10.
Yang, Guang, Sean J. Humphrey, Danielle Murashige, et al.. (2018). RagC phosphorylation autoregulates mTOR complex 1. The EMBO Journal. 38(3). 25 indexed citations
11.
Wahl, Devin, Samantha M. Solon‐Biet, Qiao‐Ping Wang, et al.. (2018). Comparing the Effects of Low-Protein and High-Carbohydrate Diets and Caloric Restriction on Brain Aging in Mice. Cell Reports. 25(8). 2234–2243.e6. 100 indexed citations
12.
Oyston, Lisa J., Yong Lin, Thang M. Khuong, et al.. (2018). Neuronal Lamin regulates motor circuit integrity and controls motor function and lifespan. SHILAP Revista de lepidopterología. 2(9). 225–232. 14 indexed citations
13.
Loh, Kim, Lei Zhang, Amanda E. Brandon, et al.. (2017). Insulin controls food intake and energy balance via NPY neurons. Molecular Metabolism. 6(6). 574–584. 122 indexed citations
14.
Wong, Adam Chun-Nin, Qiao‐Ping Wang, Juliano Morimoto, et al.. (2017). Gut Microbiota Modifies Olfactory-Guided Microbial Preferences and Foraging Decisions in Drosophila. Current Biology. 27(15). 2397–2404.e4. 140 indexed citations
15.
Wang, Qiao‐Ping, Yong Lin, Yana A. Wilson, et al.. (2016). Sucralose Promotes Food Intake through NPY and a Neuronal Fasting Response. Cell Metabolism. 24(1). 75–90. 81 indexed citations
16.
Wang, Qiao‐Ping, Zhongdao Wu, Jie Wei, Robert L. Owen, & Zhao-Rong Lun. (2011). Human Angiostrongylus cantonensis: an update. European Journal of Clinical Microbiology & Infectious Diseases. 31(4). 389–395. 152 indexed citations
17.
Neely, G. Gregory, Alex C. Keene, Peter Duchek, et al.. (2011). TrpA1 Regulates Thermal Nociception in Drosophila. PLoS ONE. 6(8). e24343–e24343. 130 indexed citations
18.
Wang, Qiao‐Ping, Taemi Kawahara, & David Horn. (2010). Histone deacetylases play distinct roles in telomeric VSG expression site silencing in African trypanosomes. Molecular Microbiology. 77(5). 1237–1245. 59 indexed citations
19.
Feng, Tingting, et al.. (2009). Expression and Identification of Immunological Activities of the HIV‐gp120N‐Human Interferon Gamma Fusion Protein. The Anatomical Record. 292(3). 381–386. 4 indexed citations
20.
Lun, Zhao‐Rong, Qiao‐Ping Wang, Xiao‐Guang Chen, Anxing Li, & Xing‐Quan Zhu. (2007). Streptococcus suis: an emerging zoonotic pathogen. The Lancet Infectious Diseases. 7(3). 201–209. 418 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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