Stephen Yip

11.7k total citations
150 papers, 2.8k citations indexed

About

Stephen Yip is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Stephen Yip has authored 150 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 54 papers in Cancer Research and 44 papers in Oncology. Recurrent topics in Stephen Yip's work include Cancer Genomics and Diagnostics (43 papers), Glioma Diagnosis and Treatment (33 papers) and Lung Cancer Treatments and Mutations (19 papers). Stephen Yip is often cited by papers focused on Cancer Genomics and Diagnostics (43 papers), Glioma Diagnosis and Treatment (33 papers) and Lung Cancer Treatments and Mutations (19 papers). Stephen Yip collaborates with scholars based in Canada, United States and United Kingdom. Stephen Yip's co-authors include David N. Louis, Michael Jansen, Derek Wong, Steven J.M. Jones, Marco A. Marra, Amy Lum, Adrian Levine, Janessa Laskin, Jasleen Grewal and Robin Coope and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stephen Yip

140 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Yip Canada 30 1.0k 757 655 567 565 150 2.8k
In Ah Kim South Korea 29 1.1k 1.0× 757 1.0× 874 1.3× 617 1.1× 987 1.7× 162 3.0k
Bassam Abdulkarim Canada 32 1.3k 1.2× 878 1.2× 1.2k 1.8× 882 1.6× 1.2k 2.0× 98 3.7k
Jae‐Kyung Won South Korea 31 1.0k 1.0× 852 1.1× 683 1.0× 503 0.9× 879 1.6× 134 3.4k
Harri Sihto Finland 33 1.0k 1.0× 965 1.3× 562 0.9× 258 0.5× 1.8k 3.1× 80 3.8k
Peter Riegman Netherlands 31 1.9k 1.8× 924 1.2× 766 1.2× 336 0.6× 513 0.9× 70 3.8k
Delphine Loussouarn France 28 976 1.0× 629 0.8× 574 0.9× 337 0.6× 694 1.2× 76 2.3k
Dongsheng Gu China 37 901 0.9× 905 1.2× 514 0.8× 389 0.7× 867 1.5× 106 4.2k
Chih‐Yi Hsu Taiwan 24 979 1.0× 355 0.5× 527 0.8× 285 0.5× 478 0.8× 92 2.0k
Klaus Beiske Norway 35 938 0.9× 366 0.5× 691 1.1× 589 1.0× 1.2k 2.2× 119 4.1k
Arvind Rao United States 32 884 0.9× 761 1.0× 625 1.0× 737 1.3× 1.4k 2.4× 131 4.0k

Countries citing papers authored by Stephen Yip

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Yip

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Yip. A scholar is included among the top collaborators of Stephen Yip 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 Stephen Yip. Stephen Yip 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.
Carter, Michael D., Shaan Dudani, Jonathan M. Loree, et al.. (2024). Novel Approach to Proficiency Testing Highlights Key Practice Variations in Cancer Biomarker Delivery. SHILAP Revista de lepidopterología. 5(1). 1–10. 4 indexed citations
2.
Titmuss, Emma, Robert J. Vanner, David F. Schaeffer, et al.. (2024). Clonal Hematopoiesis of Indeterminate Potential and its Association with Treatment Outcomes and Adverse Events in Patients with Solid Tumors. Cancer Research Communications. 5(1). 66–73. 2 indexed citations
3.
Naso, Julia, Stephen Yip, Curtis Hughesman, et al.. (2024). Confirmation of Recurrent Lung Cancer Following Resection Using Liquid Biopsy, a Proof-of-Concept Real-World Study. Current Oncology. 31(7). 4052–4062. 1 indexed citations
5.
Ronsley, Rebecca, Joanna Triscott, Joseph Stanek, et al.. (2023). Outcomes of a radiation sparing approach in medulloblastoma by subgroup in young children: an institutional review. Child s Nervous System. 39(8). 2095–2104. 3 indexed citations
6.
Das, Sunit, Sébastien Perreault, Stephen Yip, et al.. (2023). INNV-35. IMPLEMENTATION OF A NATIONAL ADOLESCENT AND YOUNG ADULT MOLECULAR TUMOR BOARD: REPORT FROM THE CANADIAN AYA NEURO-ONCOLOGY NETWORK. Neuro-Oncology. 25(Supplement_5). v164–v164.
7.
Li, Kelly, Ian Bosdet, Stephen Yip, et al.. (2023). Real-World Clinical Outcomes for Patients with EGFR and HER2 Exon 20 Insertion-Mutated Non-Small-Cell Lung Cancer. Current Oncology. 30(8). 7099–7111. 1 indexed citations
8.
Cheema, Parneet, Shantanu Banerji, Normand Blais, et al.. (2023). Canadian Consensus Recommendations on the Management of KRAS G12C-Mutated NSCLC. Current Oncology. 30(7). 6473–6496. 1 indexed citations
10.
Husereau, Don, Yvonne Bombard, Tracy Stockley, et al.. (2023). Future Role of Health Technology Assessment for Genomic Medicine in Oncology: A Canadian Laboratory Perspective. Current Oncology. 30(11). 9660–9669. 3 indexed citations
11.
McGuire, Anna, Melissa K. McConechy, Barbara Melosky, et al.. (2022). The Clinically Actionable Molecular Profile of Early versus Late-Stage Non-Small Cell Lung Cancer, an Individual Age and Sex Propensity-Matched Pair Analysis. Current Oncology. 29(4). 2630–2643. 7 indexed citations
12.
Park, Paul C., Kyle C. Kurek, John F. DeCoteau, et al.. (2022). CAP-ACP Workload Model for Advanced Diagnostics in Precision Medicine. American Journal of Clinical Pathology. 158(1). 105–111. 2 indexed citations
13.
Rebchuk, Alexander D., Armaghan Alam, Peter Gooderham, et al.. (2022). Survival and Recurrence Outcomes Following Adjuvant Radiotherapy for Grade 2 Intracranial Meningiomas: 13-Year Experience in a Tertiary-Care Center. World Neurosurgery. 161. e748–e756. 4 indexed citations
15.
Yip, Stephen, Barbara Melosky, Cheryl Ho, et al.. (2022). Disparate Time-to-Treatment and Varied Incidence of Actionable Non-Small Cell Lung Cancer Molecular Alterations in British Columbia: A Historical Cohort Study. Current Oncology. 30(1). 145–156. 2 indexed citations
16.
Rebchuk, Alexander D., et al.. (2022). The impact of brain invasion criteria on the incidence and distribution of WHO grade 1, 2, and 3 meningiomas. Neuro-Oncology. 24(9). 1524–1532. 9 indexed citations
17.
Alex, Deepu, Ian Bosdet, Curtis Hughesman, et al.. (2021). MET exon 14 skipping mutation positive non-small cell lung cancer: Response to systemic therapy. Lung Cancer. 154. 142–145. 17 indexed citations
18.
Johnston, Karissa, et al.. (2020). Costs of in-house genomic profiling and implications for economic evaluation: a case example of non-small cell lung cancer (NSCLC). Journal of Medical Economics. 23(10). 1123–1129. 15 indexed citations
19.
Boroujeni, Amir Momeni, Robert Wolber, Stephen Yip, et al.. (2020). Targeted RNA expression profiling identifies high-grade endometrial stromal sarcoma as a clinically relevant molecular subtype of uterine sarcoma. Modern Pathology. 34(5). 1008–1016. 33 indexed citations
20.
Grewal, Jasleen, Peter Eirew, Martin Jones, et al.. (2017). Detection and genomic characterization of a mammary-like adenocarcinoma. Molecular Case Studies. 3(6). a002170–a002170. 10 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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