Thomas Sierocinski

2.2k total citations · 1 hit paper
20 papers, 907 citations indexed

About

Thomas Sierocinski is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Thomas Sierocinski has authored 20 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Thomas Sierocinski's work include Prostate Cancer Treatment and Research (7 papers), Cancer, Lipids, and Metabolism (4 papers) and Fish Ecology and Management Studies (4 papers). Thomas Sierocinski is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Cancer, Lipids, and Metabolism (4 papers) and Fish Ecology and Management Studies (4 papers). Thomas Sierocinski collaborates with scholars based in Canada, United States and Australia. Thomas Sierocinski's co-authors include Paul Pavlidis, Scott G. Hinch, Kristina M. Miller, Elai Davicioni, Ken M. Jeffries, Nicholas Erho, Ismael A. Vergara, Mercedeh Ghadessi, Christine Buerki and Zaid Haddad and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Thomas Sierocinski

20 papers receiving 895 citations

Hit Papers

Discovery and Validation of a Prostate Cancer Genomic Cla... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Sierocinski Canada 9 388 275 232 209 209 20 907
Syuiti Abe Japan 24 210 0.5× 399 1.5× 186 0.8× 707 3.4× 232 1.1× 84 1.7k
Ram Thapa United States 15 122 0.3× 59 0.2× 53 0.2× 237 1.1× 131 0.6× 51 817
Ann Erlandsson Sweden 15 134 0.3× 77 0.3× 159 0.7× 167 0.8× 104 0.5× 38 813
Oliver P. Günther Canada 14 63 0.2× 74 0.3× 173 0.7× 195 0.9× 140 0.7× 27 716
Cheryl A. Dean Canada 18 128 0.3× 563 2.0× 342 1.5× 810 3.9× 140 0.7× 37 1.9k
Jing‐Woei Li Hong Kong 21 52 0.1× 370 1.3× 284 1.2× 651 3.1× 79 0.4× 39 1.5k
Gyula Kovács Hungary 10 231 0.6× 266 1.0× 75 0.3× 435 2.1× 75 0.4× 40 891
P. De Angelis Norway 17 54 0.1× 182 0.7× 279 1.2× 439 2.1× 119 0.6× 37 1.3k
James R. Faulkner United States 16 520 1.3× 122 0.4× 161 0.7× 104 0.5× 187 0.9× 28 1.4k
Mónica Martínez‐Fernández Spain 17 101 0.3× 257 0.9× 149 0.6× 576 2.8× 41 0.2× 39 1.1k

Countries citing papers authored by Thomas Sierocinski

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sierocinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Sierocinski

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Sierocinski. A scholar is included among the top collaborators of Thomas Sierocinski 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 Thomas Sierocinski. Thomas Sierocinski 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.
Khandelwal, Aditi, Sandra Zittermann, Thomas Sierocinski, & Celina Montemayor. (2023). RH genotyping by next-generation sequencing. Annals of Blood. 8. 39–39. 2 indexed citations
2.
Sierocinski, Thomas, et al.. (2020). Industrially Applicable De Novo Lager Yeast Hybrids with a Unique Genomic Architecture: Creation and Characterization. Applied and Environmental Microbiology. 87(3). 17 indexed citations
3.
Brimacombe, Cedric A., Thomas Sierocinski, & Matthew S. Dahabieh. (2020). A white-to-opaque-like phenotypic switch in the yeast Torulaspora microellipsoides. Communications Biology. 3(1). 86–86. 6 indexed citations
4.
Siu, Celia, Sam M. Wiseman, Sitanshu Gakkhar, et al.. (2017). Characterization of the human thyroid epigenome. Journal of Endocrinology. 235(2). 153–165. 6 indexed citations
5.
Mitra, Anirban P., Lucia L.C. Lam, Mercedeh Ghadessi, et al.. (2014). Discovery and Validation of Novel Expression Signature for Postcystectomy Recurrence in High-Risk Bladder Cancer. JNCI Journal of the National Cancer Institute. 106(11). 37 indexed citations
6.
Knudsen, Beatrice S., Jeffry Simko, Lucia L.C. Lam, et al.. (2014). Transcriptome-wide analysis of matched biopsy and prostatectomy to measure genomic classifiers of prostate cancer progression and field effect.. Journal of Clinical Oncology. 32(4_suppl). 85–85. 1 indexed citations
8.
Alshalalfa, Mohammed, Anamaria Crisan, Ismael A. Vergara, et al.. (2014). Clinical and genomic analysis of metastatic prostate cancer progression with a background of postoperative biochemical recurrence. British Journal of Urology. 116(4). 556–567. 17 indexed citations
9.
Wiseman, Sam M., Zaid Haddad, Blair Walker, et al.. (2013). Whole-Transcriptome Profiling of Thyroid Nodules Identifies Expression-Based Signatures for Accurate Thyroid Cancer Diagnosis. The Journal of Clinical Endocrinology & Metabolism. 98(10). 4072–4079. 15 indexed citations
10.
Erho, Nicholas, Anamaria Crisan, Ismael A. Vergara, et al.. (2013). Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy. PLoS ONE. 8(6). e66855–e66855. 427 indexed citations breakdown →
11.
Jeffries, Ken M., Scott G. Hinch, Thomas Sierocinski, Paul Pavlidis, & Kristina M. Miller. (2013). Transcriptomic responses to high water temperature in two species of Pacific salmon. Evolutionary Applications. 7(2). 286–300. 101 indexed citations
12.
Ghadessi, Mercedeh, Eric J. Bergstralh, Nicholas Erho, et al.. (2013). Validation of a genomic classifier that predicts metastatic disease progression in men with high-risk pathologic features postprostatectomy.. Journal of Clinical Oncology. 31(6_suppl). 36–36. 1 indexed citations
13.
Vergara, Ismael A., Nicholas Erho, Timothy J. Triche, et al.. (2012). Genomic “Dark Matter” in Prostate Cancer: Exploring the Clinical Utility of ncRNA as Biomarkers. Frontiers in Genetics. 3. 23–23. 13 indexed citations
14.
Jeffries, Ken M., Scott G. Hinch, Thomas Sierocinski, et al.. (2012). Consequences of high temperatures and premature mortality on the transcriptome and blood physiology of wild adult sockeye salmon (Oncorhynchus nerka). Ecology and Evolution. 2(7). 1747–1764. 90 indexed citations
15.
Erho, Nicholas, Ismael A. Vergara, Christine Buerki, et al.. (2012). Development and validation of a digital Gleason score biomarker signature for risk stratification of patients with prostate cancer.. Journal of Clinical Oncology. 30(30_suppl). 40–40. 1 indexed citations
16.
Jenkins, Robert B., Eric J. Bergstralh, Elai Davicioni, et al.. (2012). Validation of a genomic-clinical classifier model for predicting clinical recurrence of patients with localized prostate cancer in a high-risk population.. Journal of Clinical Oncology. 30(5_suppl). 175–175. 1 indexed citations
17.
Crisan, Anamaria, Mercedeh Ghadessi, Christine Buerki, et al.. (2012). Clinical and genomic analysis of metastatic disease progression in a background of biochemical recurrence.. Journal of Clinical Oncology. 30(30_suppl). 90–90. 1 indexed citations
18.
Miller, Kristina M., Shaorong Li, Karia H. Kaukinen, et al.. (2011). Genomic Signatures Predict Migration and Spawning Failure in Wild Canadian Salmon. Science. 331(6014). 214–217. 161 indexed citations
19.
Hammill, Edd, Janelle M. R. Curtis, David A. Patterson, et al.. (2011). Comparison of techniques for correlating survival and gene expression data from wild salmon. Ecology Of Freshwater Fish. 21(2). 189–199. 2 indexed citations
20.
Béchec, Antony Le, Thomas Sierocinski, Dimitri Petritis, et al.. (2008). M@IA: A Modular Open-Source Application for Microarray Workflow and Integrative Datamining. In Silico Biology. 8(1). 63–69. 6 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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