Ryan K. van Laar

2.8k total citations
34 papers, 2.1k citations indexed

About

Ryan K. van Laar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ryan K. van Laar has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Ryan K. van Laar's work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Diagnosis and Treatment (4 papers). Ryan K. van Laar is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Diagnosis and Treatment (4 papers). Ryan K. van Laar collaborates with scholars based in United States, Australia and Netherlands. Ryan K. van Laar's co-authors include Andrew J. Holloway, David D.L. Bowtell, Gordon K. Smyth, Melissa J. Peart, Paul A. Marks, Victoria M. Richon, Ricky W. Johnstone, Richard W. Tothill, Arno Floore and Dileepa Diyagama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Ryan K. van Laar

34 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan K. van Laar United States 18 1.1k 821 508 410 225 34 2.1k
Catherine I. Dumur United States 34 1.7k 1.6× 1.0k 1.3× 342 0.7× 693 1.7× 446 2.0× 94 3.4k
Meg R. Gerstenblith United States 17 1.2k 1.1× 929 1.1× 246 0.5× 113 0.3× 254 1.1× 35 2.1k
Alan W. Lau United States 19 1.5k 1.4× 638 0.8× 123 0.2× 211 0.5× 165 0.7× 20 2.1k
Rosaria Orlandi Italy 27 1.5k 1.4× 599 0.7× 89 0.2× 385 0.9× 525 2.3× 61 2.7k
David A. Alcorta United States 25 1.4k 1.3× 594 0.7× 71 0.1× 240 0.6× 417 1.9× 38 2.6k
P J Stambrook United States 28 1.6k 1.5× 774 0.9× 147 0.3× 454 1.1× 120 0.5× 60 2.3k
Stacy W. Blain United States 18 2.5k 2.4× 1.4k 1.7× 326 0.6× 463 1.1× 207 0.9× 29 3.4k
Takefumi Komiya United States 21 599 0.6× 999 1.2× 161 0.3× 187 0.5× 127 0.6× 95 1.8k
Alexandra Bell United Kingdom 10 704 0.7× 689 0.8× 144 0.3× 218 0.5× 100 0.4× 13 1.3k
Katerina Pardali Sweden 18 1.5k 1.4× 647 0.8× 187 0.4× 298 0.7× 350 1.6× 28 2.2k

Countries citing papers authored by Ryan K. van Laar

Since Specialization
Citations

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

Fields of papers citing papers by Ryan K. van Laar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan K. van Laar. 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 Ryan K. van Laar. The network helps show where Ryan K. van Laar may publish in the future.

Co-authorship network of co-authors of Ryan K. van Laar

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan K. van Laar. A scholar is included among the top collaborators of Ryan K. van Laar 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 Ryan K. van Laar. Ryan K. van Laar 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.
Love, Christopher G., et al.. (2024). RNA-seq validation of microRNA expression signatures for precision melanoma diagnosis and prognostic stratification. BMC Medical Genomics. 17(1). 256–256. 3 indexed citations
2.
Laar, Ryan K. van, et al.. (2023). Validation of a microRNA liquid biopsy assay for diagnosis and risk stratification of invasive cutaneous melanoma. British Journal of Dermatology. 189(3). 292–301. 16 indexed citations
3.
Laar, Ryan K. van, et al.. (2019). Characterisation and validation of Mel38; A multi-tissue microRNA signature of cutaneous melanoma. PLoS ONE. 14(2). e0211504–e0211504. 6 indexed citations
4.
Laar, Ryan K. van, et al.. (2018). A plasma microRNA biomarker of melanoma as a personalised assessment of treatment response. Melanoma Research. 29(1). 19–22. 6 indexed citations
5.
Wu, Jenny, Joshua Epstein, Jeremy A. Ross, et al.. (2017). Abstract 2772: BCL-2 family expression profiling may identify distinct molecular subtypes of multiple myeloma with increased susceptibility to single agent Venetoclax. Cancer Research. 77(13_Supplement). 2772–2772. 1 indexed citations
6.
7.
Laar, Ryan K. van, Nathan Brown, Joseph Ramsey, et al.. (2014). Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use. BMC Medical Genomics. 7(1). 25–25. 30 indexed citations
8.
Sturtz, Lori A., et al.. (2014). Gene expression differences in adipose tissue associated with breast tumorigenesis. Adipocyte. 3(2). 107–114. 32 indexed citations
9.
Laar, Ryan K. van. (2012). Genomic signatures for predicting survival and adjuvant chemotherapy benefit in patients with non-small-cell lung cancer. BMC Medical Genomics. 5(1). 30–30. 33 indexed citations
10.
Laar, Ryan K. van. (2011). Design and Multiseries Validation of a Web-Based Gene Expression Assay for Predicting Breast Cancer Recurrence and Patient Survival. Journal of Molecular Diagnostics. 13(3). 297–304. 10 indexed citations
11.
Laar, Ryan K. van. (2010). An online gene expression assay for determining adjuvant therapy eligibility in patients with stage 2 or 3 colon cancer. British Journal of Cancer. 103(12). 1852–1857. 19 indexed citations
12.
Laar, Ryan K. van, Xiaojun Ma, Daphne de Jong, et al.. (2009). Implementation of a novel microarray‐based diagnostic test for cancer of unknown primary. International Journal of Cancer. 125(6). 1390–1397. 41 indexed citations
13.
Kok, Marleen, Sabine C. Linn, Ryan K. van Laar, et al.. (2008). Comparison of gene expression profiles predicting progression in breast cancer patients treated with tamoxifen. Breast Cancer Research and Treatment. 113(2). 275–283. 53 indexed citations
14.
Bridgewater, John, Ryan K. van Laar, Arno Floore, & Laura van’t Veer. (2008). Gene expression profiling may improve diagnosis in patients with carcinoma of unknown primary. British Journal of Cancer. 98(8). 1425–1430. 78 indexed citations
15.
Glas, Annuska M., Laurent Knoops, Leonie Delahaye, et al.. (2007). Gene-Expression and Immunohistochemical Study of Specific T-Cell Subsets and Accessory Cell Types in the Transformation and Prognosis of Follicular Lymphoma. Journal of Clinical Oncology. 25(4). 390–398. 197 indexed citations
16.
Capella, Matías, Ryan K. van Laar, Corrie A.M. Marijnen, et al.. (2007). Prognosis prediction of stage II colon cancer by gene expression profiling. Annals of Oncology. 18. 2 indexed citations
17.
Ritchie, Matthew E., Dileepa Diyagama, Ryan K. van Laar, et al.. (2006). Empirical array quality weights in the analysis of microarray data. BMC Bioinformatics. 7(1). 261–261. 231 indexed citations
18.
Eckhardt, Bedrich L., Belinda S. Parker, Ryan K. van Laar, et al.. (2005). Genomic Analysis of a Spontaneous Model of Breast Cancer Metastasis to Bone Reveals a Role for the Extracellular Matrix. Molecular Cancer Research. 3(1). 1–13. 180 indexed citations
19.
Tothill, Richard W., Adam Kowalczyk, Danny Rischin, et al.. (2005). An Expression-Based Site of Origin Diagnostic Method Designed for Clinical Application to Cancer of Unknown Origin. Cancer Research. 65(10). 4031–4040. 153 indexed citations
20.
Holloway, Andrew J., Ryan K. van Laar, Richard W. Tothill, & David D.L. Bowtell. (2002). Options available—from start to finish—for obtaining data from DNA microarrays II. Nature Genetics. 32(S4). 481–489. 170 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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