Yiming Yan

814 total citations
28 papers, 465 citations indexed

About

Yiming Yan is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Yiming Yan has authored 28 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Yiming Yan's work include interferon and immune responses (8 papers), Herpesvirus Infections and Treatments (5 papers) and RNA Research and Splicing (5 papers). Yiming Yan is often cited by papers focused on interferon and immune responses (8 papers), Herpesvirus Infections and Treatments (5 papers) and RNA Research and Splicing (5 papers). Yiming Yan collaborates with scholars based in China, United States and Belgium. Yiming Yan's co-authors include Qingmei Xie, Wencheng Lin, Weiguo Chen, Xihong Li, Jianxin Song, Huanmin Zhang, Hongxin Li, Xinheng Zhang, Jian Peng and Li Guo and has published in prestigious journals such as Neuron, Journal of Virology and Frontiers in Immunology.

In The Last Decade

Yiming Yan

27 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiming Yan China 12 230 97 93 86 83 28 465
Yongqing Zeng China 15 259 1.1× 164 1.7× 46 0.5× 54 0.6× 98 1.2× 66 646
Ranran Liu China 21 391 1.7× 120 1.2× 91 1.0× 70 0.8× 121 1.5× 48 1.0k
Junda Shen China 11 231 1.0× 81 0.8× 50 0.5× 34 0.4× 50 0.6× 36 482
Zhengrong Tao China 11 209 0.9× 48 0.5× 36 0.4× 47 0.5× 47 0.6× 39 435
Donghyun Shin South Korea 16 349 1.5× 135 1.4× 29 0.3× 128 1.5× 66 0.8× 79 844
Ganqiu Lan China 14 256 1.1× 85 0.9× 35 0.4× 29 0.3× 91 1.1× 53 554
Zhengchang Wu China 11 169 0.7× 89 0.9× 56 0.6× 16 0.2× 60 0.7× 50 359
Yuhang Sun China 13 139 0.6× 55 0.6× 40 0.4× 34 0.4× 197 2.4× 26 540
Hammad Qamar China 11 218 0.9× 30 0.3× 21 0.2× 84 1.0× 36 0.4× 19 389

Countries citing papers authored by Yiming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Yan. A scholar is included among the top collaborators of Yiming Yan 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 Yiming Yan. Yiming Yan 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, Sheng, Yiming Yan, Shuang Gao, et al.. (2023). Proteomic profiling of purified avian leukosis virus subgroup J particles. Veterinary Microbiology. 284. 109821–109821. 1 indexed citations
2.
Long, Zhen, Yiming Yan, Jingyu Wang, et al.. (2023). Cortical somatostatin long-range projection neurons and interneurons exhibit divergent developmental trajectories. Neuron. 112(4). 558–573.e8. 11 indexed citations
3.
Yan, Yiming, Xiaohan Li, Ulrike Schümann, et al.. (2023). Developmental deficits of MGE-derived interneurons in the Cntnap2 knockout mouse model of autism spectrum disorder. Frontiers in Cell and Developmental Biology. 11. 1112062–1112062. 8 indexed citations
4.
Chen, Weiguo, Xiangyu Zhang, Huanmin Zhang, et al.. (2022). Semen extracellular vesicles mediate vertical transmission of subgroup J avian leukosis virus. Virologica Sinica. 37(2). 284–294. 11 indexed citations
5.
Zhang, Xinheng, Liyi Chen, Zhihong Liao, et al.. (2022). TCP1 mediates gp37 of avian leukosis virus subgroup J to inhibit autophagy through activating AKT in DF-1 cells. Veterinary Microbiology. 271. 109472–109472. 2 indexed citations
6.
Wu, Zhiqiang, Weiguo Chen, Huanmin Zhang, et al.. (2021). Anti-CD81 antibody blocks vertical transmission of avian leukosis virus subgroup J. Veterinary Microbiology. 264. 109293–109293. 4 indexed citations
7.
Yan, Yiming, Xinheng Zhang, Feng Chen, et al.. (2021). gga-miR-200b-3p promotes avian leukosis virus subgroup J replication via targeting dual-specificity phosphatase 1. Veterinary Microbiology. 264. 109278–109278. 3 indexed citations
8.
Yan, Yiming, Huihua Zhang, Shuang Gao, et al.. (2021). Differential DNA Methylation and Gene Expression Between ALV-J-Positive and ALV-J-Negative Chickens. Frontiers in Veterinary Science. 8. 659840–659840. 7 indexed citations
9.
Song, Jianxin, Yong Shao, Yiming Yan, et al.. (2021). Characterization of volatile profiles of three colored quinoas based on GC-IMS and PCA. LWT. 146. 111292–111292. 79 indexed citations
10.
Zhao, Fang, et al.. (2020). Determination of Crizotinib in Mouse Tissues by LC-MS/MS and Its Application to a Tissue Distribution Study. International Journal of Analytical Chemistry. 2020. 1–10. 5 indexed citations
11.
Lin, Wencheng, Yijie Liu, Yiming Yan, et al.. (2020). gga-miR-200b-3p Promotes Macrophage Activation and Differentiation via Targeting Monocyte to Macrophage Differentiation-Associated in HD11 Cells. Frontiers in Immunology. 11. 563143–563143. 8 indexed citations
12.
Zhang, Xinheng, Zhihong Liao, Yu‐Jen Wu, et al.. (2020). gga‑microRNA‑375 negatively regulates the cell cycle and proliferation by targeting Yes‑associated protein 1 in DF‑1 cells. Experimental and Therapeutic Medicine. 20(1). 530–542. 4 indexed citations
13.
Liao, Zhihong, Xinheng Zhang, Ai–Jun Li, et al.. (2019). Knockout of Atg5 inhibits proliferation and promotes apoptosis of DF-1 cells. In Vitro Cellular & Developmental Biology - Animal. 55(5). 341–348. 10 indexed citations
14.
Zhang, Xinheng, Yiming Yan, Wencheng Lin, et al.. (2019). Circular RNA Vav3 sponges gga-miR-375 to promote epithelial-mesenchymal transition. RNA Biology. 16(1). 118–132. 34 indexed citations
15.
Cao, Guangtian, et al.. (2019). Bacillus licheniformis , a potential probiotic, inhibits obesity by modulating colonic microflora in C57BL/6J mice model. Journal of Applied Microbiology. 127(3). 880–888. 31 indexed citations
16.
Lin, Wencheng, Yiming Yan, Huanmin Zhang, et al.. (2018). Avian Leukosis Virus Subgroup J Attenuates Type I Interferon Production Through Blocking IκB Phosphorylation. Frontiers in Microbiology. 9. 1089–1089. 12 indexed citations
17.
Li, Hongxin, Xiaolin Liu, Yiming Yan, et al.. (2018). Avian Influenza Virus Subtype H9N2 Affects Intestinal Microbiota, Barrier Structure Injury, and Inflammatory Intestinal Disease in the Chicken Ileum. Viruses. 10(5). 270–270. 63 indexed citations
18.
Huang, Jianfei, Yiming Yan, Huanmin Zhang, et al.. (2017). Efficacy of an autophagy-targeted DNA vaccine against avian leukosis virus subgroup J. Vaccine. 35(5). 808–813. 15 indexed citations
19.
Zhang, Xinheng, Zhuanqiang Yan, Xinjian Li, et al.. (2016). GADD45β, an anti-tumor gene, inhibits avian leukosis virus subgroup J replication in chickens. Oncotarget. 7(42). 68883–68893. 16 indexed citations
20.
Ji, Jun, Yiming Yan, Wencheng Lin, et al.. (2015). Role of gga-miR-221 and gga-miR-222 during Tumour Formation in Chickens Infected by Subgroup J Avian Leukosis Virus. Viruses. 7(12). 6538–6551. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026