Lingling Shu

1.1k total citations
35 papers, 596 citations indexed

About

Lingling Shu is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Lingling Shu has authored 35 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Hematology. Recurrent topics in Lingling Shu's work include Peroxisome Proliferator-Activated Receptors (6 papers), Immune Cell Function and Interaction (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Lingling Shu is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Immune Cell Function and Interaction (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Lingling Shu collaborates with scholars based in China, Hong Kong and Czechia. Lingling Shu's co-authors include Aimin Xu, Ruby L.C. Hoo, Karen S.L. Lam, Xiaoping Wu, Boya Liao, Yong Pan, Weida Wang, Paul M. Vanhoutte, Stefan R. Bornstein and Siyuan He and has published in prestigious journals such as Nature Communications, Blood and Diabetes.

In The Last Decade

Lingling Shu

33 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Shu China 14 274 125 119 87 81 35 596
Xueling Cui China 15 382 1.4× 73 0.6× 61 0.5× 113 1.3× 41 0.5× 41 631
Hao Guo China 17 304 1.1× 119 1.0× 103 0.9× 79 0.9× 69 0.9× 61 678
Xiang Lin China 13 249 0.9× 73 0.6× 77 0.6× 153 1.8× 30 0.4× 27 686
Qinyan Yang China 12 278 1.0× 144 1.2× 51 0.4× 87 1.0× 42 0.5× 32 633
Qi Long China 17 447 1.6× 77 0.6× 87 0.7× 116 1.3× 51 0.6× 44 787
Yongjun Fang China 17 479 1.7× 273 2.2× 60 0.5× 77 0.9× 63 0.8× 75 852
Shou‐Ching Shih United States 13 464 1.7× 218 1.7× 89 0.7× 140 1.6× 81 1.0× 14 849
Haixing Jiang China 14 211 0.8× 149 1.2× 142 1.2× 85 1.0× 22 0.3× 53 562

Countries citing papers authored by Lingling Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Shu. A scholar is included among the top collaborators of Lingling Shu 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 Lingling Shu. Lingling Shu 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.
Zhang, Zixuan, Jingjing Li, Lingling Shu, et al.. (2025). Chchd10: A Novel Metabolic Sensor Modulating Adipose Tissue Homeostasis. Advanced Science. 12(15). e2408763–e2408763.
2.
You, Zhongsheng, et al.. (2024). FABP4 facilitates epithelial-mesenchymal transition via elevating CD36 expression in glioma cells. Neoplasia. 57. 101050–101050. 4 indexed citations
3.
Huang, Han-Ying, et al.. (2024). Cytidine triphosphate synthase 1-mediated metabolic reprogramming promotes proliferation and drug resistance in multiple myeloma. Heliyon. 10(13). e33001–e33001. 3 indexed citations
4.
Xu, Xiangdong, Yuxuan Zhang, Chengcheng Ma, et al.. (2024). IFITM3 promotes glioblastoma stem cell-mediated angiogenesis via regulating JAK/STAT3/bFGF signaling pathway. Cell Death and Disease. 15(1). 45–45. 13 indexed citations
5.
Wang, Baile, Leigang Jin, Kelvin H. M. Kwok, et al.. (2023). Fibroblastic reticular cells in lymph node potentiate white adipose tissue beiging through neuro-immune crosstalk in male mice. Nature Communications. 14(1). 1213–1213. 12 indexed citations
6.
Huang, Han-Ying, Yang Li, Yang Liu, et al.. (2023). A new autophagy-related nomogram and mechanism in multiple myeloma. Genes & Diseases. 11(5). 101120–101120. 1 indexed citations
7.
Jiang, Lixiang, et al.. (2023). A Scalable, Off-the-Shelf, and Cost-Effective NK Cell Manufacturing Platform for Developing NK Cell-Based Immunotherapy. Blood. 142(Supplement 1). 6800–6800. 1 indexed citations
8.
Li, Yang, et al.. (2023). TSC22D3 as an immune-related prognostic biomarker for acute myeloid leukemia. iScience. 26(8). 107451–107451. 6 indexed citations
9.
10.
Chen, Fan, Lingling Shu, Xinming Yang, et al.. (2022). Pivotal role of cytosolic phospholipase PLA2G4A in the pathogenesis of FLT3-ITD-mutated acute myeloid leukemia. Genes & Diseases. 10(1). 22–25. 2 indexed citations
11.
Li, Jinyuan, Shuzhao Chen, Yang Li, et al.. (2022). Comprehensive Profiling Analysis of CD209 in Malignancies Reveals the Therapeutic Implication for Tumor Patients Infected With SARS-CoV-2. Frontiers in Genetics. 13. 883234–883234. 2 indexed citations
12.
Liu, Yang, Xiangdong Xu, Yuxuan Zhang, et al.. (2022). Paradoxical role of β8 integrin on angiogenesis and vasculogenic mimicry in glioblastoma. Cell Death and Disease. 13(6). 536–536. 14 indexed citations
13.
Shu, Lingling, Jinyuan Li, Shuzhao Chen, et al.. (2021). Bone Marrow Adipocyte Shapes Metabolism and Immunity in Tumor Microenvironment to Promote Multiple Myeloma. Blood. 138(Supplement 1). 892–892. 5 indexed citations
14.
Shu, Lingling, Yang Liu, Jinyuan Li, et al.. (2021). Landscape Profiling Analysis of DPP4 in Malignancies: Therapeutic Implication for Tumor Patients With Coronavirus Disease 2019. Frontiers in Oncology. 11. 624899–624899. 12 indexed citations
15.
Huang, Han-Ying, Yun Wang, Weida Wang, et al.. (2021). A prognostic survival model based on metabolism-related gene expression in plasma cell myeloma. Leukemia. 35(11). 3212–3222. 18 indexed citations
16.
Shu, Lingling, Ling Zhong, Yang Xiao, et al.. (2020). Neutrophil elastase triggers the development of autoimmune diabetes by exacerbating innate immune responses in pancreatic islets of non-obese diabetic mice. Clinical Science. 134(13). 1679–1696. 15 indexed citations
17.
Liao, Boya, Leiluo Geng, Fang Zhang, et al.. (2020). Adipocyte fatty acid-binding protein exacerbates cerebral ischaemia injury by disrupting the blood–brain barrier. European Heart Journal. 41(33). 3169–3180. 79 indexed citations
18.
Wang, Yun, et al.. (2020). Systematic Construction and Validation of a Metabolic Risk Model for Prognostic Prediction in Acute Myelogenous Leukemia. Frontiers in Oncology. 10. 540–540. 13 indexed citations
19.
Shu, Lingling, Ruby L.C. Hoo, Xiaoping Wu, et al.. (2017). A-FABP mediates adaptive thermogenesis by promoting intracellular activation of thyroid hormones in brown adipocytes. Nature Communications. 8(1). 14147–14147. 83 indexed citations
20.
Hoo, Ruby L.C., Lingling Shu, Kenneth K.Y. Cheng, et al.. (2017). Adipocyte Fatty Acid Binding Protein Potentiates Toxic Lipids-Induced Endoplasmic Reticulum Stress in Macrophages via Inhibition of Janus Kinase 2-dependent Autophagy. Scientific Reports. 7(1). 40657–40657. 19 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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