Qin Chu

5.1k total citations · 4 hit papers
111 papers, 3.8k citations indexed

About

Qin Chu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Animal Science and Zoology. According to data from OpenAlex, Qin Chu has authored 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 19 papers in Computational Theory and Mathematics and 18 papers in Animal Science and Zoology. Recurrent topics in Qin Chu's work include Computational Drug Discovery Methods (19 papers), Animal Nutrition and Physiology (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Qin Chu is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Animal Nutrition and Physiology (13 papers) and Genetic and phenotypic traits in livestock (12 papers). Qin Chu collaborates with scholars based in China, Singapore and United States. Qin Chu's co-authors include Yu Chen, Feng Zhu, Lin Tao, Peng Zhang, Yinghong Li, Ying Tan, Xian Zeng, Feng Xu, Zhe Shi and Xin Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Qin Chu

99 papers receiving 3.7k citations

Hit Papers

Therapeutic target database 2020: enric... 2011 2026 2016 2021 2019 2017 2011 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qin Chu China 26 2.0k 1.2k 491 454 289 111 3.8k
Jianfeng Pei China 34 3.2k 1.6× 2.4k 2.1× 510 1.0× 482 1.1× 221 0.8× 88 5.3k
Peng Zhang China 39 3.0k 1.5× 786 0.7× 288 0.6× 315 0.7× 149 0.5× 209 5.6k
Lei Xu China 38 4.1k 2.0× 2.0k 1.7× 299 0.6× 605 1.3× 151 0.5× 223 6.8k
Ming‐Wei Wang China 41 3.5k 1.7× 522 0.5× 247 0.5× 290 0.6× 144 0.5× 313 6.5k
Jianxin Chen China 30 2.6k 1.3× 356 0.3× 470 1.0× 267 0.6× 796 2.8× 138 4.4k
Douglas E. V. Pires Australia 35 5.1k 2.5× 2.3k 2.0× 492 1.0× 613 1.4× 232 0.8× 93 8.8k
Yang Cao China 29 2.0k 1.0× 524 0.5× 255 0.5× 278 0.6× 129 0.4× 186 4.2k
Weiwei Xue China 41 3.3k 1.6× 1.0k 0.9× 222 0.5× 280 0.6× 88 0.3× 177 5.7k
Chanin Nantasenamat Thailand 46 3.1k 1.5× 1.5k 1.3× 111 0.2× 301 0.7× 95 0.3× 173 5.9k
Xiaomin Luo China 42 5.1k 2.5× 2.9k 2.6× 490 1.0× 685 1.5× 122 0.4× 251 8.4k

Countries citing papers authored by Qin Chu

Since Specialization
Citations

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

Fields of papers citing papers by Qin Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Chu. A scholar is included among the top collaborators of Qin Chu 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 Qin Chu. Qin Chu 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
2.
Shao, Ying, et al.. (2025). NeoTImmuML: a machine learning-based prediction model for human tumor neoantigen immunogenicity. Frontiers in Immunology. 16. 1681396–1681396.
3.
5.
Chu, Qin, et al.. (2024). Efficacy and safety of acupuncture for pain relief: a systematic review and meta-analysis. Supportive Care in Cancer. 32(12). 780–780. 2 indexed citations
6.
Chen, Xia, Cheng Chang, Haihong Wang, et al.. (2023). Effects of Age on Compounds, Metabolites and Meat Quality in Beijing-You Chicken Breast Meat. Animals. 13(21). 3419–3419. 10 indexed citations
7.
Zhao, Cong, et al.. (2023). Multilayer Three‐Dimensional Woven Silver Nanowire Networks for Absorption‐Dominated Electromagnetic Interference Shielding. Advanced Materials Interfaces. 10(11). 7 indexed citations
8.
Liu, Binhong, et al.. (2023). Microstructured Polyelectrolyte Elastomer‐Based Ionotronic Sensors with High Sensitivities and Excellent Stability for Artificial Skins. Advanced Materials. 36(11). e2310429–e2310429. 75 indexed citations
9.
Zhang, Wei, et al.. (2023). Top management team characteristics, technological innovation and firm's greenwashing: Evidence from China's heavy-polluting industries. Technological Forecasting and Social Change. 191. 122522–122522. 85 indexed citations breakdown →
10.
Shen, Wan Xiang, Xian Zeng, Feng Zhu, et al.. (2021). Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations. Nature Machine Intelligence. 3(4). 334–343. 101 indexed citations
11.
Zhu, Xiaolong, et al.. (2020). Growth control of ZnTe epitaxial thin films on Si (111). Vacuum. 179. 109464–109464. 4 indexed citations
12.
Zeng, Xian, Peng Zhang, Weidong He, et al.. (2017). NPASS: natural product activity and species source database for natural product research, discovery and tool development. Nucleic Acids Research. 46(D1). D1217–D1222. 162 indexed citations
13.
Li, Yinghong, Peng Zhang, Jing Tang, et al.. (2017). Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics. Nucleic Acids Research. 46(D1). D1121–D1127. 418 indexed citations breakdown →
14.
Chu, Qin, Jian Zhang, Τahir Usman, et al.. (2017). Association of SNP rs80659072 in the ZRS with polydactyly in Beijing You chickens. PLoS ONE. 12(10). e0185953–e0185953. 7 indexed citations
15.
Yang, Bao, et al.. (2016). A novel paclitaxel-loaded poly(D,L-lactide-co-glycolide)-Tween 80 copolymer nanoparticle overcoming multidrug resistance for lung cancer treatment. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Chu, Qin, et al.. (2015). D-α-tocopherol polyethylene glycol succinate-based derivative nanoparticles as a novel carrier for paclitaxel delivery. SHILAP Revista de lepidopterología. 6 indexed citations
17.
Chu, Qin. (2013). Analysis of Genetic Relationship between Color Cocoon Silkworm Varieties by SSR Markers. Hunan Agricultural Sciences. 1 indexed citations
18.
Sun, Dongxiao, Yan Xie, Qin Chu, et al.. (2011). Short communication: Distribution of recessive genetic defect carriers in Chinese Holstein. Journal of Dairy Science. 94(11). 5695–5698. 8 indexed citations
19.
Chu, Qin, et al.. (2002). Neuron-Specific Enolase in Cell Damage after Retinal Ischemia-Reperfusion Injury in Rats. Investigative Ophthalmology & Visual Science. 43(13). 3614–3614. 1 indexed citations
20.
Chu, Qin, et al.. (1998). [Epidemiological analysis of HIV infection status in the population at high risk].. PubMed. 19(2). 81–3. 2 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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