Tyler Kolisnik

690 total citations
10 papers, 173 citations indexed

About

Tyler Kolisnik is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Tyler Kolisnik has authored 10 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Tyler Kolisnik's work include Prostate Cancer Treatment and Research (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Molecular Biology Techniques and Applications (2 papers). Tyler Kolisnik is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Molecular Biology Techniques and Applications (2 papers). Tyler Kolisnik collaborates with scholars based in Canada, New Zealand and United States. Tyler Kolisnik's co-authors include Elai Davicioni, Felix Y. Feng, Nicholas Erho, Mohammed Alshalalfa, Paul L. Nguyen, Mark Bieda, Mahmoud Mostafa, Anna Miller‐Larsson, Donna M. Slater and Voleak Choeurng and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and European Urology.

In The Last Decade

Tyler Kolisnik

9 papers receiving 172 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Kolisnik Canada 5 100 61 59 30 22 10 173
Estefanía Labanca United States 10 58 0.6× 127 2.1× 55 0.9× 46 1.5× 9 0.4× 15 183
Adrien Guérard France 3 44 0.4× 40 0.7× 62 1.1× 28 0.9× 15 0.7× 5 114
Shi-Bing Li China 3 29 0.3× 57 0.9× 51 0.9× 23 0.8× 10 0.5× 5 107
Liang Bu China 10 107 1.1× 97 1.6× 51 0.9× 29 1.0× 8 0.4× 20 218
Qingxiang Yan United States 6 44 0.4× 99 1.6× 52 0.9× 36 1.2× 6 0.3× 7 172
Charlie E. Massie United Kingdom 6 63 0.6× 87 1.4× 54 0.9× 33 1.1× 5 0.2× 8 154
Farshid Siadat Canada 6 154 1.5× 91 1.5× 44 0.7× 16 0.5× 22 1.0× 15 175
Huanqiu Chen China 8 52 0.5× 155 2.5× 110 1.9× 46 1.5× 14 0.6× 18 236

Countries citing papers authored by Tyler Kolisnik

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Kolisnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Kolisnik

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Kolisnik. A scholar is included among the top collaborators of Tyler Kolisnik 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 Tyler Kolisnik. Tyler Kolisnik 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.
Kolisnik, Tyler, et al.. (2024). pyRforest : a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R. Briefings in Functional Genomics. 24. 1 indexed citations
2.
Kolisnik, Tyler, et al.. (2023). MetaFunc: taxonomic and functional analyses of high throughput sequencing for microbiomes. SHILAP Revista de lepidopterología. 4. e4–e4. 4 indexed citations
3.
Kolisnik, Tyler, Sebastian Schmeier, Frank Frizelle, et al.. (2023). Identifying important microbial and genomic biomarkers for differentiating right- versus left-sided colorectal cancer using random forest models. BMC Cancer. 23(1). 647–647. 14 indexed citations
4.
Pleasance, Erin, et al.. (2022). A p53 transcriptional signature in primary and metastatic cancers derived using machine learning. Frontiers in Genetics. 13. 987238–987238. 4 indexed citations
5.
Cooperberg, Matthew R., Nicholas Erho, June M. Chan, et al.. (2018). The Diverse Genomic Landscape of Clinically Low-risk Prostate Cancer. European Urology. 74(4). 444–452. 40 indexed citations
6.
Nguyen, Paul L., Neil E. Martin, Voleak Choeurng, et al.. (2017). Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer. Prostate Cancer and Prostatic Diseases. 20(2). 186–192. 35 indexed citations
7.
Alshalalfa, Mohammed, Gerald W. Verhaegh, Ewan A. Gibb, et al.. (2017). Low PCA3 expression is a marker of poor differentiation in localized prostate tumors: exploratory analysis from 12,076 patients. Oncotarget. 8(31). 50804–50813. 29 indexed citations
8.
Cooperberg, Matthew R., Nicholas Erho, June M. Chan, et al.. (2017). The diverse genomic landscape of low-risk prostate cancer.. Journal of Clinical Oncology. 35(6_suppl). 72–72.
9.
Kolisnik, Tyler, et al.. (2016). Reusable, extensible, and modifiable R scripts and Kepler workflows for comprehensive single set ChIP-seq analysis. BMC Bioinformatics. 17(1). 270–270. 1 indexed citations
10.
Leigh, Richard, Mahmoud Mostafa, Elizabeth M. King, et al.. (2016). An inhaled dose of budesonide induces genes involved in transcription and signaling in the human airways: enhancement of anti‐ and proinflammatory effector genes. Pharmacology Research & Perspectives. 4(4). e00243–e00243. 45 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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