Lisette Stork

2.0k total citations
10 papers, 22 citations indexed

About

Lisette Stork is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, Lisette Stork has authored 10 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Lisette Stork's work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). Lisette Stork is often cited by papers focused on Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). Lisette Stork collaborates with scholars based in United States, Spain and Switzerland. Lisette Stork's co-authors include Scott Kopetz, Ying Li, Robert Rosenberg, Iris Simón, Ramón Salazar, Dipen M. Maru, Josep Tabernero, Justine Peeters, Zhi-Qin Jiang and George J. Chang and has published in prestigious journals such as Journal of Clinical Oncology.

In The Last Decade

Lisette Stork

9 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisette Stork United States 3 19 11 10 4 3 10 22
Anna Allavena Italy 3 16 0.8× 13 1.2× 11 1.1× 4 1.0× 6 2.0× 4 34
Mohamed Rezal Abdul Aziz Malaysia 2 22 1.2× 11 1.0× 10 1.0× 3 0.8× 6 2.0× 3 28
Yasemin Dincer Germany 2 10 0.5× 5 0.5× 8 0.8× 4 1.0× 2 0.7× 2 30
César Rázuri Peru 3 10 0.5× 11 1.0× 15 1.5× 5 1.3× 1 0.3× 6 22
Sladjana Filipovic Serbia 3 21 1.1× 7 0.6× 7 0.7× 7 1.8× 3 1.0× 12 29
Pablo Kalfayan Argentina 3 7 0.4× 15 1.4× 10 1.0× 2 0.5× 5 1.7× 8 19
Thibaud Koessler Switzerland 3 18 0.9× 8 0.7× 11 1.1× 2 0.5× 1 0.3× 16 22
Matteo Papandrea Italy 2 17 0.9× 13 1.2× 4 0.4× 5 1.3× 1 0.3× 3 22
Marianne Dubard-Gault United States 3 8 0.4× 9 0.8× 10 1.0× 3 0.8× 10 3.3× 7 23
Marko Miladinov Serbia 4 12 0.6× 6 0.5× 6 0.6× 2 0.5× 1 0.3× 7 27

Countries citing papers authored by Lisette Stork

Since Specialization
Citations

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

Fields of papers citing papers by Lisette Stork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisette Stork

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

All Works

10 of 10 papers shown
1.
Cardoso, Fátima, Martine Piccart, Emiel J. Rutgers, et al.. (2017). Standard anthracycline-based vs. docetaxel-capecitabine in early breast cancer: Results from the chemotherapy randomization (R-C) of EORTC 10041/ BIG 3-04 MINDACT phase III trial.. Journal of Clinical Oncology. 35(15_suppl). 516–516. 3 indexed citations
2.
Whitworth, Pat W., Peter D. Beitsch, James Pellicane, et al.. (2015). Functional subtyping with BluePrint 80-gene profile to identify distinct triple-positive subtypes with and without trastuzumab/chemosensitivity.. Journal of Clinical Oncology. 33(28_suppl). 114–114.
3.
Salazar, Ramón, Jaume Capdevila, Robert Rosenberg, et al.. (2014). Comparison of ColoPrint risk classification with clinical risk in the prospective PARSC trial.. Journal of Clinical Oncology. 32(3_suppl). 465–465. 3 indexed citations
4.
Beitsch, Peter D., Lisette Stork, Femke De Snoo, Justine Peeters, & Pat W. Whitworth. (2014). Biomarker panel (TheraPrint) analyzed as a predictor of response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.. Journal of Clinical Oncology. 32(15_suppl). 1026–1026. 2 indexed citations
5.
Cox, Charles E., Peter Blumencranz, Ruben A. Saez, et al.. (2014). MINT: Multi-institutional, neoadjuvant therapy MammaPrint project.. Journal of Clinical Oncology. 32(15_suppl). TPS1137–TPS1137. 1 indexed citations
6.
Salazar, Ramón, Jaume Capdevila, Robert Rosenberg, et al.. (2014). Comparison of ColoPrint risk classification with clinical risk in the prospective PARSC trial.. Journal of Clinical Oncology. 32(15_suppl). 3562–3562. 1 indexed citations
7.
García‐Carbonero, Rocio, et al.. (2014). Concordance of ColoPrint and MSI-print classification in paired endoscopic-surgical specimens of stage I-III colorectal cancer (CRC).. Journal of Clinical Oncology. 32(3_suppl). 501–501. 1 indexed citations
8.
Kopetz, Scott, Zhi-Qin Jiang, Michael J. Overman, et al.. (2013). Genomic classifier (ColoPrint) to predict outcome and chemotherapy benefit in stage II and III colon cancer patients.. Journal of Clinical Oncology. 31(15_suppl). 3612–3612. 7 indexed citations
9.
Salazar, Ramón, Josep Tabernero, Vı́ctor Moreno, et al.. (2012). Validation of a genomic classifier (ColoPrint) for predicting outcome in the T3-MSS subgroup of stage II colon cancer patients.. Journal of Clinical Oncology. 30(15_suppl). 3510–3510. 2 indexed citations
10.
Wu, Xiwei, Paul Frankel, Harry Gao, et al.. (2012). Correlation between miRNA (miR) and gene expression profiles (GEP) and response to neoadjuvant chemotherapy (NT) in patients with locally advanced and inflammatory breast cancer (BC).. Journal of Clinical Oncology. 30(15_suppl). 10545–10545. 2 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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