Stanley Y. Shaw

1.1k total citations · 1 hit paper
15 papers, 710 citations indexed

About

Stanley Y. Shaw is a scholar working on Epidemiology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Stanley Y. Shaw has authored 15 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Stanley Y. Shaw's work include Microscopic Colitis (3 papers), Vitamin D Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Stanley Y. Shaw is often cited by papers focused on Microscopic Colitis (3 papers), Vitamin D Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Stanley Y. Shaw collaborates with scholars based in United States, Switzerland and Russia. Stanley Y. Shaw's co-authors include Khoa Tran, Ramnik J. Xavier, Robert Clarke, Rhea Sumpter, Douglas R. Green, Sanae Shoji-Kawata, Yongjie Wei, Julien Puyal, Yang Liu and Vanessa Ginet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and PLoS ONE.

In The Last Decade

Stanley Y. Shaw

15 papers receiving 703 citations

Hit Papers

Autosis is a Na + ,K + -ATPase–regulated form of cell dea... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Autosis is a Na + ,K + -ATPase–regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia–ischemia
    2013 453 citations Yang Liu, Sanae Shoji-Kawata et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley Y. Shaw United States 9 366 337 90 73 71 15 710
Eric Chan China 13 170 0.5× 241 0.7× 91 1.0× 87 1.2× 126 1.8× 21 729
Mara Gallí United States 9 329 0.9× 273 0.8× 268 3.0× 33 0.5× 43 0.6× 12 1.0k
Vincenzo Castronovo Belgium 13 156 0.4× 393 1.2× 64 0.7× 53 0.7× 54 0.8× 27 1.0k
Chen‐Ou Zhang United States 20 300 0.8× 417 1.2× 69 0.8× 103 1.4× 256 3.6× 44 1.2k
Vreni Schneider Switzerland 11 315 0.9× 357 1.1× 50 0.6× 165 2.3× 25 0.4× 13 952
Hua Yuan China 10 378 1.0× 323 1.0× 52 0.6× 67 0.9× 7 0.1× 32 791
Françoise Van den Bergh United States 18 146 0.4× 476 1.4× 34 0.4× 141 1.9× 194 2.7× 31 886
Zuocheng Yang China 15 161 0.4× 748 2.2× 139 1.5× 74 1.0× 48 0.7× 55 1.2k
Weng‐Lang Yang United States 16 107 0.3× 402 1.2× 187 2.1× 75 1.0× 24 0.3× 25 737
Virginie M.S. Betin United Kingdom 11 374 1.0× 356 1.1× 65 0.7× 155 2.1× 6 0.1× 15 716

Countries citing papers authored by Stanley Y. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Stanley Y. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanley Y. Shaw. 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 Stanley Y. Shaw. The network helps show where Stanley Y. Shaw may publish in the future.

Co-authorship network of co-authors of Stanley Y. Shaw

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

All Works

15 of 15 papers shown
1.
Simon, Tracey G., Uri Kartoun, Andrew T. Chan, et al.. (2017). Meld-Na Score Predicts Major Cardiovascular Events, in Individuals With Nonalcoholic Fatty Liver Disease. Gastroenterology. 152(5). S1054–S1054. 1 indexed citations
2.
Simon, Tracey G., Uri Kartoun, Hui Zheng, et al.. (2017). Model for end‐stage liver disease Na Score predicts incident major cardiovascular events in patients with nonalcoholic fatty liver disease. Hepatology Communications. 1(5). 429–438. 8 indexed citations
3.
Vafai, Scott B., Emily Mevers, Jianming Zhang, et al.. (2016). Natural Product Screening Reveals Naphthoquinone Complex I Bypass Factors. PLoS ONE. 11(9). e0162686–e0162686. 19 indexed citations
4.
Xu, Yuxin, David J. Ashline, Li Liu, et al.. (2014). The glycosylation-dependent interaction of perlecan core protein with LDL: implications for atherosclerosis. Journal of Lipid Research. 56(2). 266–276. 24 indexed citations
5.
Ananthakrishnan, Ashwin N., Andrew Cagan, Vivian S. Gainer, et al.. (2014). Mo1263 Higher Plasma Vitamin D is Associated With Reduced Risk of Clostridium difficile Infection in Patients With Inflammatory Bowel Disease. Gastroenterology. 146(5). S–601. 1 indexed citations
6.
Ananthakrishnan, Ashwin N., Tianxi Cai, Guergana Savova, et al.. (2013). Improving Case Definition of Crohnʼs Disease and Ulcerative Colitis in Electronic Medical Records Using Natural Language Processing. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
7.
Liao, Katherine P., Dorothée Diogo, Jing Cui, et al.. (2013). The association between low density lipoprotein (LDL) and RA genetic factors with LDL levels in rheumatoid arthritis and non-RA controls. PubMed Central. 21 indexed citations
8.
Ananthakrishnan, Ashwin N., Su–Chun Cheng, Tianxi Cai, et al.. (2013). Association Between Reduced Plasma 25-Hydroxy Vitamin D and Increased Risk of Cancer in Patients With Inflammatory Bowel Diseases. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations
9.
Ananthakrishnan, Ashwin N., Vivian S. Gainer, Tianxi Cai, et al.. (2013). 221 Psychiatric Co-Morbidity Is Associated With Increased Risk of Surgery in Crohns Disease. Gastroenterology. 144(5). S–48. 10 indexed citations
10.
Shaw, Stanley Y., Khoa Tran, Adam Castoreno, et al.. (2013). Selective Modulation of Autophagy, Innate Immunity, and Adaptive Immunity by Small Molecules. ACS Chemical Biology. 8(12). 2724–2733. 49 indexed citations
11.
Liu, Yang, Sanae Shoji-Kawata, Rhea Sumpter, et al.. (2013). Autosis is a Na + ,K + -ATPase–regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia–ischemia. Proceedings of the National Academy of Sciences. 110(51). 20364–20371. 453 indexed citations breakdown →
12.
Liao, Katherine P., Tianxi Cai, Vivian S. Gainer, et al.. (2013). Lipid and Lipoprotein Levels and Trend in Rheumatoid Arthritis Compared to the General Population. Arthritis Care & Research. 65(12). 2046–2050. 61 indexed citations
13.
Chen, Howard H., Yan Feng, Ming Zhang, et al.. (2011). Protective effect of the apoptosis-sensing nanoparticle AnxCLIO-Cy5.5. Nanomedicine Nanotechnology Biology and Medicine. 8(3). 291–298. 8 indexed citations
14.
Shaw, Stanley Y.. (2009). Molecular imaging in cardiovascular disease: targets and opportunities. Nature Reviews Cardiology. 6(9). 569–579. 27 indexed citations
15.
Low, Adrian F., Sekar Kathiresan, Brendan M. Everett, et al.. (2005). Aging syndrome genes and premature coronary artery disease. BMC Medical Genetics. 6(1). 38–38. 22 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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