Xiaolin He

5.9k total citations · 1 hit paper
85 papers, 4.2k citations indexed

About

Xiaolin He is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaolin He has authored 85 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Immunology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaolin He's work include Axon Guidance and Neuronal Signaling (5 papers), Signaling Pathways in Disease (5 papers) and Hair Growth and Disorders (4 papers). Xiaolin He is often cited by papers focused on Axon Guidance and Neuronal Signaling (5 papers), Signaling Pathways in Disease (5 papers) and Hair Growth and Disorders (4 papers). Xiaolin He collaborates with scholars based in China, United States and Canada. Xiaolin He's co-authors include Xiaohong Chen, K. Christopher García, Heli Liu, Po‐Han Chen, Pamela J. Focia, Dar‐Chone Chow, Xuliang Jiang, Mingyao Liu, James A. Dias and Stefan Rose‐John and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaolin He

81 papers receiving 4.1k citations

Hit Papers

YAP/TAZ Are Mechanoregulators of TGF-β-Smad Signaling and... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin He China 35 1.7k 672 623 507 464 85 4.2k
Peter Dockery Ireland 43 1.8k 1.1× 800 1.2× 674 1.1× 413 0.8× 450 1.0× 194 6.8k
Xia Li China 29 1.3k 0.8× 482 0.7× 404 0.6× 249 0.5× 198 0.4× 121 3.8k
Yasuhiko Ohta Japan 35 1.0k 0.6× 408 0.6× 534 0.9× 221 0.4× 520 1.1× 233 4.7k
Francis M. Hughes United States 30 2.2k 1.3× 654 1.0× 425 0.7× 191 0.4× 232 0.5× 80 4.0k
Shinji Fushiki Japan 44 2.4k 1.5× 996 1.5× 765 1.2× 586 1.2× 487 1.0× 198 6.3k
Yaqing Wang China 38 1.8k 1.1× 267 0.4× 457 0.7× 280 0.6× 573 1.2× 140 5.1k
Jing Liu China 43 3.2k 1.9× 472 0.7× 441 0.7× 551 1.1× 476 1.0× 286 6.7k
Xavier Dumont Belgium 26 2.2k 1.3× 762 1.1× 426 0.7× 161 0.3× 1.4k 3.1× 47 5.0k
Gianfranco Peluso Italy 48 3.3k 2.0× 476 0.7× 438 0.7× 311 0.6× 556 1.2× 217 8.5k
Tadamichi Shimizu Japan 42 1.3k 0.8× 1.6k 2.3× 466 0.7× 349 0.7× 252 0.5× 279 6.0k

Countries citing papers authored by Xiaolin He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin He. A scholar is included among the top collaborators of Xiaolin He 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 Xiaolin He. Xiaolin He 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
2.
He, Xiaolin, et al.. (2024). Provenancing copper in the middle Shang period through isotopic analysis of metallurgical remains. Journal of Archaeological Science. 168. 106020–106020. 5 indexed citations
3.
Liu, Xiaowei, Xiaolei Ren, Xiaolin He, et al.. (2024). Predicting coronary heart disease in Chinese diabetics using machine learning. Computers in Biology and Medicine. 169. 107952–107952. 29 indexed citations
4.
Yang, Hui, Xiaolei Ren, Xiaolin He, et al.. (2023). A gender specific risk assessment of coronary heart disease based on physical examination data. npj Digital Medicine. 6(1). 136–136. 32 indexed citations
5.
Gao, Yi, et al.. (2023). Material characterization uncovers sophisticated mould-making techniques of the middle-Shang period (14th-13th BCE). Journal of Archaeological Science. 160. 105870–105870. 6 indexed citations
6.
Li, Zhaodong, et al.. (2022). A Case Report of Imatinib-induced Acute Heart Failure and Literature Review. Journal of College of Physicians And Surgeons Pakistan. 32(1). 114–116. 1 indexed citations
7.
He, Xiaolin, Santosh Kumar Goru, Luisa Ulloa Severino, et al.. (2022). Myofibroblast YAP/TAZ activation is a key step in organ fibrogenesis. JCI Insight. 7(4). 52 indexed citations
8.
Amatullah, Hajera, Tatiana Maron‐Gutierrez, Yuexin Shan, et al.. (2020). Protective function of DJ-1/PARK7 in lipopolysaccharide and ventilator-induced acute lung injury. Redox Biology. 38. 101796–101796. 61 indexed citations
9.
He, Xiaolin, et al.. (2019). A new, easily generated mouse model of diabetic kidney fibrosis. Scientific Reports. 9(1). 12549–12549. 9 indexed citations
10.
Liu, Jianmeng, et al.. (2018). Q-switched 1064-nm dymium-doped yttrium aluminum garnet laser irradiation induces skin collagen synthesis by stimulating MAPKs pathway. Lasers in Medical Science. 34(5). 963–971. 9 indexed citations
11.
Zhou, Guangxian, et al.. (2017). Effect of miR-125b on dermal papilla cells of goat secondary hair\nfollicle. Bioline International (Bioline International). 9 indexed citations
12.
He, Xiaolin, Yanbin Xu, Jinliang Chen, et al.. (2017). Evolution of corresponding resistance genes in the water of fish tanks with multiple stresses of antibiotics and heavy metals. Water Research. 124. 39–48. 140 indexed citations
13.
Shi, Bingbo, Qiang Ding, Xiaolin He, et al.. (2016). Tβ4-overexpression based on the piggyBac transposon system in cashmere goats alters hair fiber characteristics. Transgenic Research. 26(1). 77–85. 17 indexed citations
14.
Zhang, Xiao‐Hua, Yanbin Xu, Xiaolin He, et al.. (2016). Occurrence of antibiotic resistance genes in landfill leachate treatment plant and its effluent-receiving soil and surface water. Environmental Pollution. 218. 1255–1261. 107 indexed citations
15.
Chen, Po‐Han, Xiaohong Chen, Zhenghong Lin, Deyu Fang, & Xiaolin He. (2013). The structural basis of R-spondin recognition by LGR5 and RNF43. Genes & Development. 27(12). 1345–1350. 115 indexed citations
16.
Liu, Heli, Z. Sean Juo, Pamela J. Focia, et al.. (2010). Structural Basis of Semaphorin-Plexin Recognition and Viral Mimicry from Sema7A and A39R Complexes with PlexinC1. Cell. 142(5). 749–761. 124 indexed citations
17.
Chen, Xiaohong, et al.. (2008). Structure of macrophage colony stimulating factor bound to FMS: Diverse signaling assemblies of class III receptor tyrosine kinases. Proceedings of the National Academy of Sciences. 105(47). 18267–18272. 64 indexed citations
18.
Wehrman, Tom S., et al.. (2007). Structural and Mechanistic Insights into Nerve Growth Factor Interactions with the TrkA and p75 Receptors. Neuron. 53(1). 25–38. 224 indexed citations
19.
Park, Jong Bae, Glenn Yiu, Shinjiro Kaneko, et al.. (2005). A TNF Receptor Family Member, TROY, Is a Coreceptor with Nogo Receptor in Mediating the Inhibitory Activity of Myelin Inhibitors. Neuron. 45(5). 815–815. 1 indexed citations
20.
He, Xiaolin, J. Fernando Bazán, Gerry McDermott, et al.. (2003). Structure of the Nogo Receptor Ectodomain. Neuron. 38(2). 177–185. 166 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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