Jeffry Simko

39.2k citations
149 papers · 26.7k · 21 hit papers · h-index 52

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Prostate Cancer Treatment and Research
    • Prostate Cancer Diagnosis and Treatment
    • Ferroptosis and cancer prognosis

Papers in

Jeffry Simko

147 papers receiving 26.3k citations

Jeffry Simko's Hit Papers

Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer 2023 · 92 citations
920+2+5Years since publication50010001.5k2.0k2.5k

Peers

Jeffry Simko
Comparison fields: 5 of 164
  • Cancer Research 7.9k
  • Pulmonary and Respiratory Medicine 7.9k
  • Oncology 5.3k
  • Molecular Biology 12.2k
  • Immunology 1.7k
Replace Glen Kristiansen with:
Glen Kristiansen Germany
Niall M. Corcoran Australia
Nguyen Viet Tien United States
Sébastien Gilbert Canada
Mathieu Latour Canada
Pheroze Tamboli United States
Ginette McKercher Canada
Francesco Facciolo Italy
Fadi Brimo Canada
Vincenzo Cardinale Italy
Jeffry Simko relative to Glen Kristiansen Germany Glen Kristiansen's profile →
Citations per field
00.5×1.5×1.8×
Glen Kristiansen · 1×
Citations per year

Countries citing papers authored by Jeffry Simko

Since Specialization
Citations

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

Fields of papers citing papers by Jeffry Simko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeffry Simko, 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 Jeffry Simko Line = papers co-authored together Jeffry Simko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
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20182602
2
The Molecular Taxonomy of Primary Prostate Cancer
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20152435
3
Oncogenic Signaling Pathways in The Cancer Genome Atlas
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20182334
4
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
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20181720
5
Comprehensive Characterization of Cancer Driver Genes and Mutations
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20181714
6
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
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20181617
7
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
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2018810
8
Genomic and Functional Approaches to Understanding Cancer Aneuploidy
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2018749
9
Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
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2018685
10
Pathogenic Germline Variants in 10,389 Adult Cancers
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2018606
11
Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
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2018583
12
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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2018569
13
A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling
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2014522
14
The 2019 International Society of Urological Pathology (ISUP) Consensus Conference on Grading of Prostatic Carcinoma
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2020493
15
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
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2018456
16
Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
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2018451
17
The Immune Landscape of Cancer
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2019449
18 2018392
19
Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
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2018372
20
Comprehensive Characterization of Cancer Driver Genes and Mutations
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2018372

About Jeffry Simko

Jeffry Simko is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 149 papers that have together received 26.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (58 papers), Cancer Genomics and Diagnostics (26 papers), Prostate Cancer Treatment and Research (25 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Genetic factors in colorectal cancer (7 papers), Bladder and Urothelial Cancer Treatments (6 papers), Cancer-related Molecular Pathways (6 papers) and Urologic and reproductive health conditions (6 papers). The work is most often cited by research in Cancer Research (7.9k citations), Pulmonary and Respiratory Medicine (7.9k citations), Oncology (5.3k citations), Molecular Biology (12.2k citations) and Immunology (1.7k citations). Jeffry Simko has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter R. Carroll, Janet E. Cowan, Matthew R. Cooperberg, John V. Kurhanewicz, Katsuto Shinohara, June M. Chan, Thomas M. Wheeler, Mark G. Swanson, Kayvan R. Keshari and Z. Laura Tabatabai. Their work appears in journals such as Cell Reports, Cell, The Journal of Urology, The Prostate and European Urology Oncology.

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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