Xilin Shen

875 total citations · 1 hit paper
30 papers, 580 citations indexed

About

Xilin Shen is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xilin Shen has authored 30 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Oncology. Recurrent topics in Xilin Shen's work include Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (5 papers) and Ferroptosis and cancer prognosis (3 papers). Xilin Shen is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (5 papers) and Ferroptosis and cancer prognosis (3 papers). Xilin Shen collaborates with scholars based in China, United States and Thailand. Xilin Shen's co-authors include Shufang Zhang, Hongwei Wu, Renjie Liang, Yanmei Ma, Yi Hong, Xianzhu Zhang, Jing Li, Chang Xie, Wei Sun and Xudong Yao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Xilin Shen

28 papers receiving 579 citations

Hit Papers

High-efficient engineerin... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xilin Shen China 12 206 154 73 64 58 30 580
Ségolène Ferratge France 6 237 1.2× 87 0.6× 68 0.9× 64 1.0× 84 1.4× 7 476
Qizhi Qin United States 14 183 0.9× 86 0.6× 56 0.8× 53 0.8× 89 1.5× 27 553
Yi‐Lei Wu Taiwan 12 199 1.0× 105 0.7× 95 1.3× 46 0.7× 71 1.2× 22 503
Yu Chai China 14 311 1.5× 104 0.7× 81 1.1× 81 1.3× 71 1.2× 39 698
Quitterie C. Larrouture United States 10 221 1.1× 204 1.3× 66 0.9× 31 0.5× 65 1.1× 20 578
Sooyeon Lee Germany 11 262 1.3× 65 0.4× 101 1.4× 51 0.8× 83 1.4× 17 647
Meng‐Yin Yang Taiwan 11 142 0.7× 61 0.4× 47 0.6× 74 1.2× 84 1.4× 43 474
Zhenyan Li China 14 200 1.0× 46 0.3× 64 0.9× 68 1.1× 52 0.9× 54 483
Barbara Dietel Germany 16 185 0.9× 76 0.5× 75 1.0× 205 3.2× 70 1.2× 37 659
Shuping Gao Switzerland 9 200 1.0× 107 0.7× 81 1.1× 36 0.6× 105 1.8× 12 515

Countries citing papers authored by Xilin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xilin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xilin Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xilin Shen. A scholar is included among the top collaborators of Xilin Shen 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 Xilin Shen. Xilin Shen 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.
Liang, Xinxiu, Han Han, Xilin Shen, et al.. (2025). Hair Mercury Levels, Serum n-3 Fatty Acids, and Pregnancy Glucose Outcomes Among Women From a Fertility Center. The Journal of Clinical Endocrinology & Metabolism. 1 indexed citations
2.
Chen, Zhipeng, Jiawei Song, Mingming Liu, et al.. (2025). Arachidonic acid fuels inflammation by unlocking macrophage protein phosphatase 5 after myocardial infarction. European Heart Journal. 47(4). 503–518. 1 indexed citations
3.
Han, Han, Xilin Shen, Paige L. Williams, et al.. (2025). Association of urinary phthalate metabolite concentrations with inflammatory biomarker levels among pregnant women. Environmental Research. 279(Pt 2). 121911–121911.
4.
Shen, Xilin, Paige L. Williams, Jennifer B. Ford, et al.. (2025). Effect Modification of Serum Omega-3 Fatty Acids on the Associations between Urinary Phthalate Biomarkers Mixture and Pregnancy Outcomes among Women Seeking Fertility Care. Environmental Health Perspectives. 133(6). 67005–67005. 1 indexed citations
5.
Shen, Xilin, Ya‐Ming Hou, Xueer Wang, et al.. (2025). A deep learning model for characterizing protein-RNA interactions from sequences at single-base resolution. Patterns. 6(1). 101150–101150. 1 indexed citations
6.
Collins, Evan, Sami Obaïd, Xilin Shen, et al.. (2024). Mapping the structure-function relationship along macroscale gradients in the human brain. Nature Communications. 15(1). 7063–7063. 3 indexed citations
7.
Shen, Xilin & Xiangchun Li. (2024). Deep-learning methods for unveiling large-scale single-cell transcriptomes. Cancer Biology and Medicine. 20(12). 972–980. 3 indexed citations
8.
Shen, Hongru, Jianghua Wu, Xilin Shen, et al.. (2023). An efficient context-aware approach for whole-slide image classification. iScience. 26(12). 108175–108175. 3 indexed citations
9.
Shen, Hongru, Jilei Liu, Jiani Hu, et al.. (2023). Generative pretraining from large-scale transcriptomes for single-cell deciphering. iScience. 26(5). 106536–106536. 24 indexed citations
10.
Wen, Ya, Yishan Chen, Weiliang Wu, et al.. (2023). Hyperplastic Human Macromass Cartilage for Joint Regeneration. Advanced Science. 10(26). e2301833–e2301833. 12 indexed citations
11.
Shen, Xilin, Hongru Shen, Dan Wu, et al.. (2022). Scalable batch-correction approach for integrating large-scale single-cell transcriptomes. Briefings in Bioinformatics. 23(5). 3 indexed citations
12.
Wu, Dan, Hongru Shen, Xilin Shen, et al.. (2022). Prediction of Two Molecular Subtypes of Gastric Cancer Based on Immune Signature. Frontiers in Genetics. 12. 793494–793494. 9 indexed citations
14.
Ni, Fei-Da, Yiqing Wu, Yun Huang, et al.. (2022). BNC1 deficiency-triggered ferroptosis through the NF2-YAP pathway induces primary ovarian insufficiency. Nature Communications. 13(1). 5871–5871. 90 indexed citations
15.
Xie, Chang, Renjie Liang, Jinchun Ye, et al.. (2022). High-efficient engineering of osteo-callus organoids for rapid bone regeneration within one month. Biomaterials. 288. 121741–121741. 125 indexed citations breakdown →
16.
Shen, Xilin, Bingbing Wu, Wei Jiang, et al.. (2022). Scale bar of aging trajectories for screening personal rejuvenation treatments. Computational and Structural Biotechnology Journal. 20. 5750–5760. 5 indexed citations
17.
Zhang, Xianzhu, Wei Jiang, Chang Xie, et al.. (2022). Msx1+ stem cells recruited by bioactive tissue engineering graft for bone regeneration. Nature Communications. 13(1). 5211–5211. 92 indexed citations
18.
Shen, Hongru, Xilin Shen, Dan Wu, et al.. (2021). A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings. Briefings in Bioinformatics. 23(2). 9 indexed citations
19.
Shen, Hongru, Yang Li, Xilin Shen, et al.. (2021). Miscell: An efficient self-supervised learning approach for dissecting single-cell transcriptome. iScience. 24(11). 103200–103200. 7 indexed citations
20.
Ma, Yanmei, et al.. (2020). The Involvement of Mitochondrial Biogenesis in Selenium Reduced Hyperglycemia-Aggravated Cerebral Ischemia Injury. Neurochemical Research. 45(8). 1888–1901. 22 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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