Sharon W. Lin

535 total citations
11 papers, 445 citations indexed

About

Sharon W. Lin is a scholar working on Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sharon W. Lin has authored 11 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sharon W. Lin's work include Estrogen and related hormone effects (2 papers), Menopause: Health Impacts and Treatments (2 papers) and Stress Responses and Cortisol (1 paper). Sharon W. Lin is often cited by papers focused on Estrogen and related hormone effects (2 papers), Menopause: Health Impacts and Treatments (2 papers) and Stress Responses and Cortisol (1 paper). Sharon W. Lin collaborates with scholars based in United States. Sharon W. Lin's co-authors include Kelvin J.A. Davies, Robert E. Pacifici, W. King Engel, Valerie Askanas, Janis McFerrin, Pietro Fratta, Allen Taylor, Koko Murakami, Lily C. Hsu and Akira Yoshida and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Sharon W. Lin

11 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon W. Lin United States 8 220 100 73 70 47 11 445
Angela Cassese Italy 14 381 1.7× 65 0.7× 79 1.1× 133 1.9× 44 0.9× 17 657
Yuriko Minegishi Japan 16 320 1.5× 77 0.8× 64 0.9× 77 1.1× 38 0.8× 32 704
Soung Jung Kim South Korea 14 400 1.8× 116 1.2× 49 0.7× 78 1.1× 41 0.9× 16 637
Hak Joo Lee United States 14 370 1.7× 122 1.2× 44 0.6× 195 2.8× 49 1.0× 20 826
Nathalie Roudier France 10 344 1.6× 44 0.4× 91 1.2× 161 2.3× 39 0.8× 12 534
Andrew L. Cangelosi United States 9 454 2.1× 72 0.7× 68 0.9× 115 1.6× 74 1.6× 11 702
Shiro Okuno Japan 14 300 1.4× 34 0.3× 58 0.8× 105 1.5× 141 3.0× 22 551
Sudhir Marathe United States 11 486 2.2× 58 0.6× 106 1.5× 116 1.7× 66 1.4× 14 762
Susanna Baqué Spain 13 489 2.2× 101 1.0× 138 1.9× 150 2.1× 125 2.7× 16 783
Zachary Spicer United States 12 401 1.8× 55 0.6× 46 0.6× 59 0.8× 69 1.5× 14 645

Countries citing papers authored by Sharon W. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sharon W. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon W. Lin

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

All Works

11 of 11 papers shown
1.
Maria, Naomi S. Sta, Leslie A. Khawli, Sharon W. Lin, et al.. (2021). Spatio-temporal biodistribution of 89Zr-oxine labeled huLym-1-A-BB3z-CAR T-cells by PET imaging in a preclinical tumor model. Scientific Reports. 11(1). 15077–15077. 14 indexed citations
2.
Wong, Angela, et al.. (2013). Age Increase of Estrogen Receptor-α (ERα) in Cortical Astrocytes Impairs Neurotrophic Support in Male and Female Rats. Endocrinology. 154(6). 2101–2113. 26 indexed citations
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Chen, Li, Shigang Xiong, Hongyun She, et al.. (2006). Iron Causes Interactions of TAK1, p21ras, and Phosphatidylinositol 3-Kinase in Caveolae to Activate IκB Kinase in Hepatic Macrophages. Journal of Biological Chemistry. 282(8). 5582–5588. 57 indexed citations
5.
Fratta, Pietro, W. King Engel, Janis McFerrin, et al.. (2005). Proteasome Inhibition and Aggresome Formation in Sporadic Inclusion-Body Myositis and in Amyloid-β Precursor Protein-Overexpressing Cultured Human Muscle Fibers. American Journal Of Pathology. 167(2). 517–526. 93 indexed citations
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Hsu, Lily C., Wen-Chung Chang, Sharon W. Lin, & Akira Yoshida. (1995). Cloning and Characterization of Genes Encoding Four Additional Human Aldehyde Dehydrogenase Isozymes. Advances in experimental medicine and biology. 372. 159–168. 7 indexed citations
9.
Murakami, Koko, et al.. (1990). Lens proteasome shows enhanced rates of degradation of hydroxyl radical modified alpha-crystallin. Free Radical Biology and Medicine. 8(3). 217–222. 60 indexed citations
10.
Lin, Sharon W., et al.. (1988). Superoxide dismutase is preferentially degraded by a proteolytic system from red blood cells following oxidative modification by hydrogen peroxide. Free Radical Biology and Medicine. 5(5-6). 335–339. 87 indexed citations
11.
Pacifici, Robert E., Sharon W. Lin, & Kelvin J.A. Davies. (1988). The Measurement of Protein Degradation in Response to Oxidative Stress. PubMed. 49. 531–535. 4 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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