Linshan Xie

718 total citations · 1 hit paper
8 papers, 471 citations indexed

About

Linshan Xie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linshan Xie has authored 8 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linshan Xie's work include Receptor Mechanisms and Signaling (4 papers), Artificial Intelligence in Healthcare (1 paper) and Photoreceptor and optogenetics research (1 paper). Linshan Xie is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Artificial Intelligence in Healthcare (1 paper) and Photoreceptor and optogenetics research (1 paper). Linshan Xie collaborates with scholars based in China, United States and United Kingdom. Linshan Xie's co-authors include Houchao Tao, Suwen Zhao, Sanaz Darbalaei, Wenqing Shui, Qing Liu, Shanshan Qin, Qingtong Zhou, Elita Yuliantie, Yiran Wu and Yi Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Magnetic Resonance in Medicine.

In The Last Decade

Linshan Xie

7 papers receiving 469 citations

Hit Papers

G protein-coupled receptors: structure- and function-base... 2021 2026 2022 2024 2021 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
Linshan Xie China 6 328 159 59 52 50 8 471
Elita Yuliantie Australia 6 381 1.2× 179 1.1× 52 0.9× 55 1.1× 98 2.0× 9 495
Huibing Zhang China 17 556 1.7× 299 1.9× 81 1.4× 63 1.2× 43 0.9× 23 829
Sanaz Darbalaei China 6 420 1.3× 198 1.2× 62 1.1× 59 1.1× 107 2.1× 8 526
Laerte Oliveira Brazil 14 469 1.4× 184 1.2× 44 0.7× 54 1.0× 41 0.8× 28 546
Qingning Yuan China 12 347 1.1× 203 1.3× 52 0.9× 43 0.8× 39 0.8× 23 517
Ravi Kumar Verma Singapore 15 401 1.2× 195 1.2× 32 0.5× 50 1.0× 19 0.4× 27 506
Mark Wigglesworth United Kingdom 13 428 1.3× 189 1.2× 28 0.5× 49 0.9× 32 0.6× 38 670
Qingya Shen China 11 394 1.2× 179 1.1× 58 1.0× 25 0.5× 29 0.6× 23 514
Mauricio Esguerra Sweden 9 487 1.5× 164 1.0× 57 1.0× 102 2.0× 16 0.3× 12 563
Youwen Zhuang China 12 661 2.0× 323 2.0× 94 1.6× 58 1.1× 40 0.8× 18 896

Countries citing papers authored by Linshan Xie

Since Specialization
Citations

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

Fields of papers citing papers by Linshan Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linshan Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Linshan Xie. A scholar is included among the top collaborators of Linshan Xie 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 Linshan Xie. Linshan Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Xie, Linshan. (2024). Pima Indian Diabetes Database and Machine Learning Models for Diabetes Prediction. Highlights in Science Engineering and Technology. 88. 97–103. 3 indexed citations
2.
Xie, Linshan, et al.. (2023). GLP-1R Signaling and Functional Molecules in Incretin Therapy. Molecules. 28(2). 751–751. 24 indexed citations
3.
Xie, Linshan, Wenye Geng, Haidong Kan, et al.. (2022). A study of viral respiratory tract infections based on new smart terminals. SHILAP Revista de lepidopterología. 5. 35–36.
4.
Zhao, Fei, Zhihao Zhu, Linshan Xie, et al.. (2022). Two‐Dimensional Detergent Expansion Strategy for Membrane Protein Studies. Chemistry - A European Journal. 28(44). e202201388–e202201388. 12 indexed citations
5.
Hu, Tao, Guoxun Zheng, Dongxiang Xue, et al.. (2021). Rational Remodeling of Atypical Scaffolds for the Design of Photoswitchable Cannabinoid Receptor Tools. Journal of Medicinal Chemistry. 64(18). 13752–13765. 12 indexed citations
6.
Yang, Dehua, Qingtong Zhou, Shanshan Qin, et al.. (2021). G protein-coupled receptors: structure- and function-based drug discovery. Signal Transduction and Targeted Therapy. 6(1). 7–7. 395 indexed citations breakdown →
7.
Xiao, Linfang, Yilong Liu, Yujiao Zhao, et al.. (2021). Partial Fourier reconstruction of complex MR images using complex‐valued convolutional neural networks. Magnetic Resonance in Medicine. 87(2). 999–1014. 14 indexed citations
8.
Xie, Linshan, Chaowei Zhong, Zixuan Fang, et al.. (2018). Microwave dielectric properties of Li<sub>2</sub>O–<i>x</i>MgO–ZnO–B<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub> glass-ceramics (<i>x</i> = 30–50 wt.%). Journal of the Ceramic Society of Japan. 126(3). 163–169. 11 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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