Ed Reznik

45k citations
137 papers · 32.7k · 27 hit papers · h-index 59

Impact in

  • Cancer Research top 0.05%
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Breast Cancer Treatment Studies
  • Oncology top 0.1%
    • Cancer Immunotherapy and Biomarkers

Papers in

Ed Reznik

127 papers receiving 32.3k citations

Ed Reznik's Hit Papers

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients 2022 · 432 citations
4320+2+5Years since publication1k2k3k4k

Peers

Ed Reznik
Comparison fields: 5 of 159
  • Cancer Research 8.5k
  • Oncology 7.9k
  • Pulmonary and Respiratory Medicine 6k
  • Molecular Biology 9.4k
  • Genetics 1k
Replace Bernard Kohl with:
Bernard Kohl United States
Roger Kramer United States
Candace Carter United States
Kelinda Tucker United States
Armaz Mariamidze United States
Witold Kycler Poland
Jay Engel United States
Mathieu Latour Canada
Walid Khaled Chatila United States
Fadi Brimo Canada
Ed Reznik relative to Bernard Kohl United States Bernard Kohl's profile →
Citations per field
00.5×1.5×
Bernard Kohl · 1×
Citations per year

Countries citing papers authored by Ed Reznik

Since Specialization
Citations

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

Fields of papers citing papers by Ed Reznik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Immune Landscape of Cancer
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20184385
2
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
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20182633
3
Oncogenic Signaling Pathways in The Cancer Genome Atlas
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20182371
4
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
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20181758
5
Comprehensive Characterization of Cancer Driver Genes and Mutations
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20181748
6
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
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20181634
7
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
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2018824
8
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
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2018771
9
Genomic and Functional Approaches to Understanding Cancer Aneuploidy
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2018768
10
Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
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2018696
11
The long tail of oncogenic drivers in prostate cancer
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2018663
12
Tracking Cancer Evolution Reveals Constrained Routes to Metastases: TRACERx Renal
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2018651
13
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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2018645
14
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
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2016617
15
Pathogenic Germline Variants in 10,389 Adult Cancers
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2018617
16
Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
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2018598
17
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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2018580
18
Integrative Genomic Analysis of Cholangiocarcinoma Identifies Distinct IDH-Mutant Molecular Profiles
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2017516
19
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
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2018470
20
Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
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2018457

About Ed Reznik

Ed Reznik is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 137 papers that have together received 32.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (47 papers), Cancer Genomics and Diagnostics (36 papers), Cancer, Hypoxia, and Metabolism (18 papers), Cancer Immunotherapy and Biomarkers (9 papers), Mitochondrial Function and Pathology (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Cancer Research (8.5k citations), Oncology (7.9k citations), Pulmonary and Respiratory Medicine (6k citations), Molecular Biology (9.4k citations) and Genetics (1k citations). Ed Reznik has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chris Sander, A. Ari Hakimi, Satish K. Tickoo, William E. Lee, Daniel Segrè, Εlad Noor, Bülent Arman Aksoy, Yasin Şenbabaoğlu, Eric Minwei Liu and Martin L. Miller. Their work appears in journals such as Cell Reports, Cell, Cancer Cell, The Journal of Urology and European Urology Focus.

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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