Yun Ding

2.6k total citations
36 papers, 1.5k citations indexed

About

Yun Ding is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yun Ding has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Yun Ding's work include Genomics and Phylogenetic Studies (8 papers), Neurobiology and Insect Physiology Research (7 papers) and Animal Behavior and Reproduction (5 papers). Yun Ding is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Neurobiology and Insect Physiology Research (7 papers) and Animal Behavior and Reproduction (5 papers). Yun Ding collaborates with scholars based in China, United States and Denmark. Yun Ding's co-authors include Qi Zhou, Wen Wang, Guojie Zhang, Shuang Yang, David L. Stern, Yue Zhang, Ruoping Zhao, Xin Li, Guo-Huang Fan and Shiyu Xu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yun Ding

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Ding China 19 819 438 353 263 196 36 1.5k
Masafumi Nozawa Japan 17 745 0.9× 541 1.2× 445 1.3× 195 0.7× 165 0.8× 44 1.8k
Jeremy Lynch United States 19 894 1.1× 520 1.2× 185 0.5× 250 1.0× 343 1.8× 50 1.5k
I. Rozenboim Israel 32 665 0.8× 581 1.3× 175 0.5× 335 1.3× 232 1.2× 99 3.3k
Yan‐Qun Liu China 21 824 1.0× 613 1.4× 124 0.4× 208 0.8× 443 2.3× 113 1.7k
Bingzhong Ren China 17 441 0.5× 346 0.8× 143 0.4× 212 0.8× 368 1.9× 74 1.1k
Yasushi Kanamori Japan 21 642 0.8× 233 0.5× 271 0.8× 336 1.3× 294 1.5× 25 1.4k
Mark Band United States 22 651 0.8× 628 1.4× 274 0.8× 190 0.7× 51 0.3× 49 1.6k
Dong‐Dong Wu China 29 1.5k 1.8× 1.1k 2.5× 361 1.0× 196 0.7× 117 0.6× 132 2.9k
Franco Giorgi Italy 23 649 0.8× 385 0.9× 187 0.5× 131 0.5× 306 1.6× 93 1.5k
Hugues Parrinello France 25 1.5k 1.8× 694 1.6× 526 1.5× 390 1.5× 335 1.7× 49 2.4k

Countries citing papers authored by Yun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ding. A scholar is included among the top collaborators of Yun 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 Yun Ding. Yun 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.
Chen, Yu‐Chieh, et al.. (2025). High-resolution single-cell analyses reveal evolutionary constraints and evolvability of sexual circuits in Drosophila. Proceedings of the National Academy of Sciences. 122(47). e2516083122–e2516083122. 1 indexed citations
2.
Ding, Yun & Joshua L. Lillvis. (2025). Neural evolution of complex motor behaviors: insights from Drosophila courtship song. Current Opinion in Neurobiology. 95. 103131–103131.
3.
Morantte, Ianessa, et al.. (2024). A modular circuit coordinates the diversification of courtship strategies. Nature. 635(8037). 142–150. 11 indexed citations
4.
Ding, Yun, et al.. (2024). Changes in the cellular makeup of motor patterning circuits drive courtship song evolution in Drosophila. Current Biology. 34(11). 2319–2329.e6. 13 indexed citations
5.
Duan, Yulong, Jie Lian, Lilong Wang, et al.. (2021). Variation in Soil Microbial Communities Along an Elevational Gradient in Alpine Meadows of the Qilian Mountains, China. Frontiers in Microbiology. 12. 684386–684386. 28 indexed citations
6.
Zhang, Jie, Yun Ding, Shan Yu, et al.. (2021). Different Fertilizers Applied Alter Fungal Community Structure in Rhizospheric Soil of Cassava (Manihot esculenta Crantz) and Increase Crop Yield. Frontiers in Microbiology. 12. 663781–663781. 13 indexed citations
7.
Huang, Guangping, Xiao Wang, Yibo Hu, et al.. (2020). Diet drives convergent evolution of gut microbiomes in bamboo-eating species. Science China Life Sciences. 64(1). 88–95. 58 indexed citations
8.
Ding, Yun, Joshua L. Lillvis, Jessica Cande, et al.. (2019). Neural Evolution of Context-Dependent Fly Song. Current Biology. 29(7). 1089–1099.e7. 64 indexed citations
9.
Stern, David L., Justin Crocker, Yun Ding, et al.. (2017). Genetic and Transgenic Reagents for Drosophila simulans , D. mauritiana , D. yakuba , D. santomea , and D. virilis. G3 Genes Genomes Genetics. 7(4). 1339–1347. 38 indexed citations
10.
Chen, Yuan, Anastasia P. Litvintseva, Thomas G. Mitchell, et al.. (2015). Next generation multilocus sequence typing (NGMLST) and the analytical software program MLSTEZ enable efficient, cost-effective, high-throughput, multilocus sequencing typing. Fungal Genetics and Biology. 75. 64–71. 29 indexed citations
11.
Ding, Yun, et al.. (2014). Immunohistochemical localization of Pax6 in the developing tooth germ of mice. Journal of Molecular Histology. 45(4). 373–379. 12 indexed citations
12.
Liu, Yunsong, Hao Liu, Ming Gu, et al.. (2014). The effect of simvastatin on chemotactic capability of SDF-1α and the promotion of bone regeneration. Biomaterials. 35(15). 4489–4498. 95 indexed citations
13.
Xiang, Zhonghuai, Xin Li, Fangyin Dai, et al.. (2013). Comparative methylomics between domesticated and wild silkworms implies possible epigenetic influences on silkworm domestication. BMC Genomics. 14(1). 646–646. 40 indexed citations
14.
Chen, Yuan, Yun Ding, Wen Wang, et al.. (2011). Evolution of vertebrate central nervous system is accompanied by novel expression changes of duplicate genes. Journal of genetics and genomics. 38(12). 577–584. 6 indexed citations
15.
Zhan, Zhiqing, Yun Ding, Rui-Lin Zhao, et al.. (2011). Rapid Functional Divergence of a Newly Evolved Polyubiquitin Gene in Drosophila and Its Role in the Trade-off between Male Fecundity and Lifespan. Molecular Biology and Evolution. 29(5). 1407–1416. 10 indexed citations
16.
Ding, Yun, Li Zhao, Shuang Yang, et al.. (2010). A Young Drosophila Duplicate Gene Plays Essential Roles in Spermatogenesis by Regulating Several Y-Linked Male Fertility Genes. PLoS Genetics. 6(12). e1001255–e1001255. 60 indexed citations
17.
Zhou, Qi, Guojie Zhang, Yue Zhang, et al.. (2008). On the origin of new genes in Drosophila. Genome Research. 18(9). 1446–1455. 197 indexed citations
18.
Mines, Marjelo A., Yun Ding, & Guo-Huang Fan. (2007). The Many Roles of Chemokine Receptors in Neurodegenerative Disorders: Emerging New Therapeutical Strategies. Current Medicinal Chemistry. 14(23). 2456–2470. 49 indexed citations
19.
Ding, Yun, Li Zhang, J. Shawn Goodwin, et al.. (2007). Plectin regulates the signaling and trafficking of the HIV-1 co-receptor CXCR4 and plays a role in HIV-1 infection. Experimental Cell Research. 314(3). 590–602. 21 indexed citations
20.

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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