Shan Lin

2.3k total citations
25 papers, 1.9k citations indexed

About

Shan Lin is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Shan Lin has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in Shan Lin's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Aluminum Alloy Microstructure Properties (5 papers). Shan Lin is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Aluminum Alloy Microstructure Properties (5 papers). Shan Lin collaborates with scholars based in Japan, South Korea and China. Shan Lin's co-authors include David J. Thomas, Miroslav Stýblo, Walter Cullen, Ilona Jaspers, Zuzana Drobná, Nobuyuki Takahashi, Teruo Kawada, Tsuyoshi Goto, Shizuka Hirai and Melinda A. Beck and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and FEBS Letters.

In The Last Decade

Shan Lin

25 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Lin Japan 14 1.1k 783 653 342 173 25 1.9k
Yan Yuan China 26 866 0.8× 885 1.1× 736 1.1× 185 0.5× 84 0.5× 57 2.2k
Aihua Zhang China 25 506 0.5× 458 0.6× 938 1.4× 207 0.6× 58 0.3× 109 1.9k
Lora L. Arnold United States 30 1.4k 1.2× 1.3k 1.6× 868 1.3× 424 1.2× 68 0.4× 82 2.7k
Khaled Hossain Bangladesh 31 475 0.4× 612 0.8× 654 1.0× 264 0.8× 101 0.6× 81 2.1k
Zoltán Gregus Hungary 30 635 0.6× 674 0.9× 682 1.0× 495 1.4× 70 0.4× 87 2.4k
Karin Engström Sweden 27 575 0.5× 833 1.1× 531 0.8× 353 1.0× 130 0.8× 44 1.7k
Mayukh Banerjee United States 20 736 0.7× 545 0.7× 538 0.8× 184 0.5× 56 0.3× 57 1.4k
Sarfaraz Ahmad United States 29 368 0.3× 667 0.9× 776 1.2× 483 1.4× 137 0.8× 107 2.8k
Kirk T. Kitchin United States 29 1.6k 1.4× 1.4k 1.8× 1.3k 1.9× 520 1.5× 70 0.4× 90 3.2k
Libia Vega Mexico 25 1.4k 1.3× 1.2k 1.5× 870 1.3× 350 1.0× 53 0.3× 68 2.9k

Countries citing papers authored by Shan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Lin. A scholar is included among the top collaborators of Shan Lin 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 Shan Lin. Shan Lin 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.
Ji, Zheng, et al.. (2023). Geometric Primitive-Guided UAV Path Planning for High-Quality Image-Based Reconstruction. Remote Sensing. 15(10). 2632–2632. 5 indexed citations
2.
Lin, Shan, Hiroshi Okuda, Jinguo Li, et al.. (2023). Nanostructure distribution in multilayered Al alloy sheets analyzed by quantitative small-angle X-ray scattering tomography. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 547. 165173–165173. 1 indexed citations
3.
Yang, Lan, et al.. (2022). Nucleus-selective codelivery of proteins and drugs for synergistic antitumor therapy. Chemical Science. 13(35). 10342–10348. 8 indexed citations
4.
Lin, Shan, et al.. (2021). Nanostructure Distribution and Strengthening Mechanisms in the Interface Regions of Al–Zn/Al–Mg Multilayered Composites. MATERIALS TRANSACTIONS. 62(5). 603–609. 3 indexed citations
5.
Lin, Shan, Hiroshi Okuda, Yukihiro Nishikawa, et al.. (2021). Nondestructive Nanostructure Analysis of Al/Al–Zn Interdiffusion Layer by Quantitative SAXS Tomography. MATERIALS TRANSACTIONS. 62(11). 1673–1676. 2 indexed citations
6.
He, Xiao, Lan Yang, Shan Lin, et al.. (2021). Clickable amino acid derivative tuned self-assembly of antigen and adjuvant for cancer immunotherapy. Journal of Controlled Release. 337. 306–316. 9 indexed citations
7.
He, Xiao, et al.. (2021). Oral delivery of antioxidant enzymes for effective treatment of inflammatory disease. Biomaterials. 271. 120753–120753. 63 indexed citations
8.
9.
Okuda, Hiroshi, et al.. (2019). Two dimensional anomalous small-angle scattering measurements at the Mg K absorption edge for nanostructure analysis in concentrated Al-Mg alloys. Applied Physics Express. 12(7). 75503–75503. 3 indexed citations
10.
Lin, Shan, et al.. (2014). The Effect of Volume Fraction of β-SiC on the Microstructures and Bending Strengths of β-SiC/Cu Composites. Advanced materials research. 1030-1032. 201–204. 1 indexed citations
11.
Lin, Shan, Shizuka Hirai, Tsuyoshi Goto, et al.. (2013). Auraptene suppresses inflammatory responses in activated RAW264 macrophages by inhibiting p38 mitogen‐activated protein kinase activation. Molecular Nutrition & Food Research. 57(7). 1135–1144. 24 indexed citations
12.
Takahashi, Nobuyuki, Shan Lin, Tsuyoshi Goto, et al.. (2013). DHA attenuates postprandial hyperlipidemia via activating PPARα in intestinal epithelial cells. Journal of Lipid Research. 54(12). 3258–3268. 39 indexed citations
13.
Hirai, Shizuka, Young‐Il Kim, Shan Lin, et al.. (2013). Involvement of mast cells in adipose tissue fibrosis. American Journal of Physiology-Endocrinology and Metabolism. 306(3). E247–E255. 47 indexed citations
14.
Takahashi, Nobuyuki, Shan Lin, Tsuyoshi Goto, et al.. (2011). Auraptene regulates gene expression involved in lipid metabolism through PPARα activation in diabetic obese mice. Molecular Nutrition & Food Research. 55(12). 1791–1797. 35 indexed citations
15.
Ando, Chieko, Nobuyuki Takahashi, Shizuka Hirai, et al.. (2009). Luteolin, a food‐derived flavonoid, suppresses adipocyte‐dependent activation of macrophages by inhibiting JNK activation. FEBS Letters. 583(22). 3649–3654. 72 indexed citations
16.
Stýblo, Miroslav, Zuzana Drobná, Ilona Jaspers, Shan Lin, & David J. Thomas. (2002). The role of biomethylation in toxicity and carcinogenicity of arsenic: a research update.. Environmental Health Perspectives. 110(suppl 5). 767–771. 326 indexed citations
17.
Lin, Shan, Qing Shi, Miroslav Stýblo, et al.. (2002). A Novel S-Adenosyl-l-methionine:Arsenic(III) Methyltransferase from Rat Liver Cytosol. Journal of Biological Chemistry. 277(13). 10795–10803. 283 indexed citations
18.
Thomas, David J., Miroslav Stýblo, & Shan Lin. (2001). The Cellular Metabolism and Systemic Toxicity of Arsenic. Toxicology and Applied Pharmacology. 176(2). 127–144. 469 indexed citations
19.
Lin, Shan, Luz M. Del Razo, Miroslav Stýblo, et al.. (2001). Arsenicals Inhibit Thioredoxin Reductase in Cultured Rat Hepatocytes. Chemical Research in Toxicology. 14(3). 305–311. 125 indexed citations
20.
Lin, Shan, Walter Cullen, & David J. Thomas. (1999). Methylarsenicals and Arsinothiols Are Potent Inhibitors of Mouse Liver Thioredoxin Reductase. Chemical Research in Toxicology. 12(10). 924–930. 163 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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