Shan Yang

2.6k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Shan Yang is a scholar working on Genetics, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Shan Yang has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 10 papers in Pathology and Forensic Medicine and 10 papers in Cancer Research. Recurrent topics in Shan Yang's work include BRCA gene mutations in cancer (16 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (10 papers). Shan Yang is often cited by papers focused on BRCA gene mutations in cancer (16 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (10 papers). Shan Yang collaborates with scholars based in United States, China and Hong Kong. Shan Yang's co-authors include Stephen E. Lincoln, Yuya Kobayashi, Robert L. Nussbaum, Edward D. Esplin, Scott T. Michalski, Erin O’Leary, Allison W. Kurian, Scott Topper, Keith Nykamp and Michael J. Anderson and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Cell Reports.

In The Last Decade

Shan Yang

33 papers receiving 1.2k citations

Hit Papers

Prevalence of Germline Variants in Prostate Cancer and Im... 2019 2026 2021 2023 2019 50 100 150 200
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. Prevalence of Germline Variants in Prostate Cancer and Implications for Current Genetic Testing Guidelines
    2019 240 citations Shan Yang, Scott T. Michalski et al. profile →

Peers

Shan Yang
Joseph Vijai United States
Thomas P. Slavin United States
Lisa Golmard France
Jordan Lerner‐Ellis Canada
Judy E. Garber United States
Kerry Kingham United States
Raymond M. Moore United States
Kathryn P. Pennington United States
Sarah M. Nielsen United States
Àlex Teulé Spain
Joseph Vijai United States
Shan Yang
Citations per year, relative to Shan Yang Shan Yang (= 1×) peers Joseph Vijai

Countries citing papers authored by Shan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Yang. A scholar is included among the top collaborators of Shan Yang 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 Yang. Shan Yang 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
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Han, Qiu-Yue, Shan Yang, Jin Cui, et al.. (2024). A DTI-based radiomics model for predicting epidermal growth factor receptor (EGFR) amplification in adult IDH1-wild glioblastomas. Acta Radiologica. 65(10). 1291–1299. 1 indexed citations
3.
Yang, Shan, et al.. (2024). Gastric metastasis of small cell lung carcinoma: Three case reports and review of literature. World Journal of Gastroenterology. 30(31). 3717–3725. 2 indexed citations
4.
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Heald, Brandie, Sarah M. Nielsen, Susan Rojahn, et al.. (2022). Unexpected actionable genetic variants revealed by multigene panel testing of patients with uterine cancer. Gynecologic Oncology. 166(2). 344–350. 7 indexed citations
6.
Ramamurthy, Chethan, Amin H. Nassar, Sarah Abou Alaiwi, et al.. (2022). Prevalence of pathogenic germline cancer risk variants in testicular cancer patients: Identifying high risk groups. Urologic Oncology Seminars and Original Investigations. 40(3). 113.e9–113.e15. 1 indexed citations
7.
Alaiwi, Sarah Abou, Amin H. Nassar, Elio Adib, et al.. (2021). Trans-ethnic variation in germline variants of patients with renal cell carcinoma. Cell Reports. 34(13). 108926–108926. 20 indexed citations
8.
Das, Kingshuk, Stephen E. Lincoln, Nhu Ngo, et al.. (2020). Diagnostic yield of germline genetic testing following tumor testing in prostate cancer patients.. Journal of Clinical Oncology. 38(15_suppl). 1591–1591. 1 indexed citations
9.
Nassar, Amin H., Sarah Abou Alaiwi, Saud H. AlDubayan, et al.. (2019). Prevalence of pathogenic germline cancer risk variants in high-risk urothelial carcinoma. Genetics in Medicine. 22(4). 709–718. 38 indexed citations
10.
Esplin, Edward D., et al.. (2019). Abstract P4-03-06: Limitations of direct-to-consumer genetic screening for HBOC: False negatives, false positives and everything in between. Cancer Research. 79(4_Supplement). P4–3. 4 indexed citations
11.
Alaiwi, Sarah Abou, Amin H. Nassar, Kent W. Mouw, et al.. (2019). Germline variants in urothelial carcinoma: Analysis of pathogenic and likely pathogenic variants in 645 subjects.. Journal of Clinical Oncology. 37(15_suppl). 1528–1528. 2 indexed citations
12.
Samadder, Jewel, Shan Yang, Scott T. Michalski, et al.. (2019). Landscape of germline mutations in hepatobiliary carcinoma: Unrealized risk, untapped clinical trial opportunities.. Journal of Clinical Oncology. 37(4_suppl). 236–236.
13.
Yang, Shan, Scott T. Michalski, Stephen E. Lincoln, et al.. (2019). Comprehensive germline panel testing across cancer types: Diagnostic yield and clinical utility in 100,000 patient dataset.. Journal of Clinical Oncology. 37(15_suppl). e13013–e13013. 1 indexed citations
14.
Yang, Shan, Jennifer E. Axilbund, Erin O’Leary, et al.. (2018). Underdiagnosis of Hereditary Breast and Ovarian Cancer in Medicare Patients: Genetic Testing Criteria Miss the Mark. Annals of Surgical Oncology. 25(10). 2925–2931. 50 indexed citations
15.
Kobayashi, Yuya, Shan Yang, Keith Nykamp, et al.. (2017). Pathogenic variant burden in the ExAC database: an empirical approach to evaluating population data for clinical variant interpretation. Genome Medicine. 9(1). 13–13. 129 indexed citations
16.
O’Leary, Erin, Jennifer Holle, Scott T. Michalski, et al.. (2017). Expanded Gene Panel Use for Women With Breast Cancer: Identification and Intervention Beyond Breast Cancer Risk. Annals of Surgical Oncology. 24(10). 3060–3066. 47 indexed citations
17.
Lincoln, Stephen E., Shan Yang, Melissa Cline, et al.. (2017). Consistency ofBRCA1andBRCA2Variant Classifications Among Clinical Diagnostic Laboratories. JCO Precision Oncology. 1(1). 1–10. 22 indexed citations
18.
Lincoln, Stephen E., Yuya Kobayashi, Michael J. Anderson, et al.. (2015). A Systematic Comparison of Traditional and Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Genes in More Than 1000 Patients. Journal of Molecular Diagnostics. 17(5). 533–544. 146 indexed citations
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Zhang, Shuxiang, et al.. (2014). Equivocal Association of RAD51 Polymorphisms with Risk of Esophageal Squamous Cell Carcinoma in a Chinese Population. Asian Pacific Journal of Cancer Prevention. 15(2). 763–767. 7 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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