Thomas Sierocinski

20 papers receiving 895 citations

Thomas Sierocinski's Hit Papers

Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy 2013 · 427 citations
4270+4+8Years since publication100200300400

Peers

Thomas Sierocinski
Comparison fields: 5 of 86
  • Cancer Research 275
  • Nature and Landscape Conservation 209
  • Aquatic Science 95
  • Pulmonary and Respiratory Medicine 388
  • Ecology 232
Replace Oliver P. Günther with:
Oliver P. Günther Canada
James R. Faulkner United States
Ram Thapa United States
Syuiti Abe Japan
Jing‐Woei Li Hong Kong
P. De Angelis Norway
Gyula Kovács Hungary
Mónica Martínez‐Fernández Spain
Fred Immermann United States
Edwin S. Iversen United States
Thomas Sierocinski relative to Oliver P. Günther Canada Oliver P. Günther's profile →
Citations per field
00.5×6.2×
Oliver P. Günther · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Thomas Sierocinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Sierocinski Line = papers co-authored together Thomas Sierocinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy
Hit paper breakdown →
2013427
2 2011161
3 2013101
4 201290
5 201437
6 202017
7 201417
8 201315
9 201213
10 20206
11 20086
12 20176
13 20112
14 20142
15 20232
16 20141
17 20121
18 20121
19 20121
20 20131

About Thomas Sierocinski

Thomas Sierocinski is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Nature and Landscape Conservation, having authored 20 papers that have together received 907 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Cancer, Lipids, and Metabolism (4 papers), Fish Ecology and Management Studies (4 papers), Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Fermentation and Sensory Analysis (2 papers), Physiological and biochemical adaptations (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cancer Research (275 citations), Nature and Landscape Conservation (209 citations), Aquatic Science (95 citations), Pulmonary and Respiratory Medicine (388 citations) and Ecology (232 citations). Thomas Sierocinski has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Kristina M. Miller, Scott G. Hinch, Paul Pavlidis, Elai Davicioni, Ken M. Jeffries, Mercedeh Ghadessi, Nicholas Erho, Ismael A. Vergara, Timothy J. Triche and Zaid Haddad. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute, Ecology Of Freshwater Fish, Evolutionary Applications and In Silico Biology.

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.

Explore authors with similar magnitude of impact