William E. Grizzle

63.3k citations
529 papers · 48.1k · 21 hit papers · h-index 98

Impact in

  • Cancer Research top 0.05%
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 0.1%

Papers in

    • Cancer Genomics and Diagnostics 40
    • Cancer-related Molecular Pathways 28
    • Pancreatic and Hepatic Oncology Research 20

William E. Grizzle

524 papers receiving 46.8k citations

William E. Grizzle's Hit Papers

The Immune Landscape of Cancer 2019 · 449 citations
4490+2+5Years since publication50010001.5k2.0k2.5k

Peers

William E. Grizzle
Comparison fields: 5 of 191
  • Cancer Research 12.3k
  • Oncology 10.1k
  • Molecular Biology 24.4k
  • Immunology 5.2k
  • Pulmonary and Respiratory Medicine 6.6k
Replace Masaki Mori with:
Masaki Mori Japan
Thomas E. Carey United States
Erik Larsson Sweden
Thomas J. Giordano United States
Dave S.�B. Hoon United States
Fadlo Raja Khuri United States
William G. Richards United States
Samir Hanash United States
Michael Anthony Hollingsworth United States
Hanina H. Hibshoosh United States
William E. Grizzle relative to Masaki Mori Japan Masaki Mori's profile →
Citations per field
00.5×1.5×
Masaki Mori · 1×
Citations per year

Countries citing papers authored by William E. Grizzle

Since Specialization
Citations

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

Fields of papers citing papers by William E. Grizzle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Grizzle. 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 William E. Grizzle. The network helps show where William E. Grizzle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 529 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
Oncogenic Signaling Pathways in The Cancer Genome Atlas
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20182334
3
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
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20181720
4
Comprehensive Characterization of Cancer Driver Genes and Mutations
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20181714
5
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
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20181617
6
A Novel Nanoparticle Drug Delivery System: The Anti-inflammatory Activity of Curcumin Is Enhanced When Encapsulated in Exosomes
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20101432
7
Treatment of Brain Inflammatory Diseases by Delivering Exosome Encapsulated Anti-inflammatory Drugs From the Nasal Region to the Brain
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20111235
8
Detection of high incidence of K-ras oncogenes during human colon tumorigenesis
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1987935
9
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
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2018810
10
Genomic and Functional Approaches to Understanding Cancer Aneuploidy
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2018749
11
Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
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2018685
12
Standard Operating Procedures for Serum and Plasma Collection: Early Detection Research Network Consensus Statement Standard Operating Procedure Integration Working Group
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2008626
13
Pathogenic Germline Variants in 10,389 Adult Cancers
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2018606
14
Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
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2018583
15
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
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2018569
16
Modern Age Pathology of Pulmonary Arterial Hypertension
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2012537
17 2008530
18 2009470
19
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
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2018456
20
Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
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2018451

About William E. Grizzle

William E. Grizzle is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 529 papers that have together received 48.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (40 papers), Molecular Biology Techniques and Applications (35 papers), Cancer-related Molecular Pathways (28 papers), Ethics in Clinical Research (26 papers), Genetic factors in colorectal cancer (21 papers), RNA modifications and cancer (21 papers), Immunotherapy and Immune Responses (21 papers) and Pancreatic and Hepatic Oncology Research (20 papers). The work is most often cited by research in Cancer Research (12.3k citations), Oncology (10.1k citations), Molecular Biology (24.4k citations), Immunology (5.2k citations) and Pulmonary and Respiratory Medicine (6.6k citations). William E. Grizzle has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Huang‐Ge Zhang, Cunren Liu, Xiaoyu Xiang, Xiaoying Zhuang, Russell B. Myers, Huang-Ge Zhang, Upender Manne, Dongmei Sun, Yuelong Liu and Cecil R. Stockard. Their work appears in journals such as Clinical Cancer Research, Biopreservation and Biobanking, International Journal of Cancer, Cancer Research and Cell Reports.

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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