Congcong Yan

1.3k total citations · 1 hit paper
37 papers, 863 citations indexed

About

Congcong Yan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Congcong Yan has authored 37 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Congcong Yan's work include Invertebrate Immune Response Mechanisms (9 papers), Cancer-related molecular mechanisms research (9 papers) and Aquaculture Nutrition and Growth (7 papers). Congcong Yan is often cited by papers focused on Invertebrate Immune Response Mechanisms (9 papers), Cancer-related molecular mechanisms research (9 papers) and Aquaculture Nutrition and Growth (7 papers). Congcong Yan collaborates with scholars based in China and Hong Kong. Congcong Yan's co-authors include Meng Zhou, Siqi Bao, Zicheng Zhang, Jie Sun, Ping Hou, Jianzhong Su, Liangde Xu, Nan Wu, Jiquan Zhang and Yuying Sun and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Gene.

In The Last Decade

Congcong Yan

35 papers receiving 858 citations

Hit Papers

Non-invasive modulation of meningeal lymphatics ameliorat... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congcong Yan China 17 493 387 221 180 162 37 863
Jin Huang China 17 610 1.2× 303 0.8× 190 0.9× 296 1.6× 66 0.4× 71 1.1k
Jing Bao China 13 522 1.1× 237 0.6× 96 0.4× 151 0.8× 133 0.8× 24 831
Xiaomei Li China 19 414 0.8× 268 0.7× 111 0.5× 193 1.1× 94 0.6× 58 844
J. Zha United States 6 321 0.7× 83 0.2× 134 0.6× 198 1.1× 257 1.6× 11 662
Tania Benatar Canada 16 465 0.9× 260 0.7× 73 0.3× 174 1.0× 289 1.8× 29 897
Terhi Jokilehto Finland 12 481 1.0× 475 1.2× 65 0.3× 140 0.8× 52 0.3× 14 797
Eleanor I Ager Australia 17 585 1.2× 226 0.6× 160 0.7× 267 1.5× 130 0.8× 26 1.2k
Yanlin Huang China 16 443 0.9× 219 0.6× 194 0.9× 151 0.8× 99 0.6× 64 815
Michael R. Epis Australia 21 1.1k 2.2× 852 2.2× 116 0.5× 199 1.1× 179 1.1× 26 1.5k
Erwin T. Waas Netherlands 9 629 1.3× 381 1.0× 73 0.3× 355 2.0× 90 0.6× 11 1.1k

Countries citing papers authored by Congcong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congcong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Congcong Yan. A scholar is included among the top collaborators of Congcong 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 Congcong Yan. Congcong 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.
2.
Wu, Zixuan, Congcong Yan, Yujie Liu, et al.. (2024). Membrane-bound trehalase enhances cadmium tolerance by regulating cell apoptosis in Neocaridina denticulata sinensis. The Science of The Total Environment. 944. 173798–173798. 3 indexed citations
3.
Yan, Congcong, et al.. (2024). Non-invasive modulation of meningeal lymphatics ameliorates ageing and Alzheimer’s disease-associated pathology and cognition in mice. Nature Communications. 15(1). 1453–1453. 48 indexed citations breakdown →
4.
5.
Yan, Congcong, Xiaojuan Hu, Xiaoyan Liu, et al.. (2023). Upregulation of SLC12A3 and SLC12A9 Mediated by the HCP5/miR-140-5p Axis Confers Aggressiveness and Unfavorable Prognosis in Uveal Melanoma. Laboratory Investigation. 103(3). 100022–100022. 6 indexed citations
6.
Zhang, Yibo, et al.. (2023). Multi-Omics Deep-Learning Prediction of Homologous Recombination Deficiency-Like Phenotype Improved Risk Stratification and Guided Therapeutic Decisions in Gynecological Cancers. IEEE Journal of Biomedical and Health Informatics. 29(3). 1861–1871. 13 indexed citations
7.
Jiang, Dan, Congcong Yan, Chun Yang, et al.. (2023). Metabolomic analysis of aqueous humor reveals potential metabolite biomarkers for differential detection of macular edema. Eye and Vision. 10(1). 14–14. 8 indexed citations
8.
Yan, Congcong, et al.. (2022). Genome-wide identification and expression profiling of Wnt gene family in Neocaridina denticulata sinensis. Gene. 854. 147122–147122. 4 indexed citations
10.
Li, Ke, Congcong Yan, Chenghao Li, et al.. (2021). Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data. Molecular Therapy — Nucleic Acids. 27. 404–411. 12 indexed citations
11.
Bao, Siqi, Ke Li, Congcong Yan, et al.. (2021). Deep learning-based advances and applications for single-cell RNA-sequencing data analysis. Briefings in Bioinformatics. 23(1). 23 indexed citations
12.
Zhang, Zicheng, Congcong Yan, Ke Li, et al.. (2021). Pan-cancer characterization of lncRNA modifiers of immune microenvironment reveals clinically distinct de novo tumor subtypes. npj Genomic Medicine. 6(1). 52–52. 18 indexed citations
13.
Liu, Yujie, Congcong Yan, Yongzhao Zhou, et al.. (2021). Transcriptomic analysis of Neocaridina denticulate sinensis hepatopancreas indicates immune changes after copper exposure. Fish & Shellfish Immunology. 121. 23–30. 13 indexed citations
14.
Liu, Yujie, et al.. (2020). Transcriptome analysis of Neocaridina denticulate sinensis under copper exposure. Gene. 764. 145098–145098. 20 indexed citations
15.
Sun, Yuying, Mengfei Liu, Congcong Yan, et al.. (2020). CRISPR/Cas9-mediated deletion of β, β-carotene 9′, 10′-oxygenase gene (EcBCO2) from Exopalaemon carinicauda. International Journal of Biological Macromolecules. 151. 168–177. 20 indexed citations
16.
Sun, Jie, Zicheng Zhang, Siqi Bao, et al.. (2020). Identification of tumor immune infiltration-associated lncRNAs for improving prognosis and immunotherapy response of patients with non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 8(1). e000110–e000110. 218 indexed citations
17.
Hou, Ping, Siqi Bao, Dandan Fan, et al.. (2020). Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma. Briefings in Bioinformatics. 22(4). 21 indexed citations
18.
Zhao, Hengqiang, Shanshan Gu, Siqi Bao, et al.. (2020). Mechanistically derived patient-level framework for precision medicine identifies a personalized immune prognostic signature in high-grade serous ovarian cancer. Briefings in Bioinformatics. 22(3). 11 indexed citations
19.
Sun, Yuying, Congcong Yan, Mengfei Liu, et al.. (2019). CRISPR/Cas9-mediated deletion of one carotenoid isomerooxygenase gene (EcNinaB-X1) from Exopalaemon carinicauda. Fish & Shellfish Immunology. 97. 421–431. 17 indexed citations
20.
Yan, Congcong, J. Yuan, Jiajia Xu, et al.. (2019). Ubiquitin-specific peptidase 39 regulates the process of proliferation and migration of human ovarian cancer via p53/p21 pathway and EMT. Medical Oncology. 36(11). 95–95. 25 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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