Alexis Sharp
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 16
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 1
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- RNA Research and Splicing 3
- Gene expression and cancer classification 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Simon Kung (1 shared paper)Mark A. Frye (1 shared paper)Susan L. McElroy (1 shared paper)Scott J. Crow (1 shared paper)David A. Mrazek (1 shared paper)Joanna M. Biernacka (1 shared paper)Marin Veldić (1 shared paper)Julie M. Cunningham (1 shared paper)
- Journals
- Cell Reports (12 papers)Cell (10 papers)Cancer Cell (5 papers)Cell Systems (3 papers)Immunity (2 papers)
- Partner nations
- United States
In The Last Decade
Alexis Sharp
34 papers receiving 27k citations
Alexis Sharp's Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 7k
- Oncology 7.2k
- Pulmonary and Respiratory Medicine 5k
- Molecular Biology 7.7k
- Genetics 943
Countries citing papers authored by Alexis Sharp
This map shows the geographic impact of Alexis Sharp'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 Alexis Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Sharp more than expected).
Fields of papers citing papers by Alexis Sharp
This network shows the impact of papers produced by Alexis Sharp. 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 Alexis Sharp. The network helps show where Alexis Sharp may publish in the future.
Co-authors
The 9 scholars most cited alongside Alexis Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4385 |
| 2 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2633 |
| 3 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2464 |
| 4 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 5 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 6 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 7 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 8 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 9 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 771 |
| 10 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 11 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 12 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 13 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
| 14 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 580 |
| 15 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 470 |
| 16 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 457 |
| 17 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 455 |
| 18 | Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas Hit paper breakdown → | 2018 | 431 |
| 19 | lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer Hit paper breakdown → | 2018 | 394 |
| 20 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 384 |
About Alexis Sharp
Alexis Sharp is a scholar working on Cancer Research, Molecular Biology, Oncology, Cell Biology and Otorhinolaryngology, having authored 34 papers that have together received 27.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), RNA Research and Splicing (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Gene expression and cancer classification (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), AI in cancer detection (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (7k citations), Oncology (7.2k citations), Pulmonary and Respiratory Medicine (5k citations), Molecular Biology (7.7k citations) and Genetics (943 citations). Alexis Sharp has collaborated with scholars based in United States. Frequent co-authors include Simon Kung, Mark A. Frye, Susan L. McElroy, Scott J. Crow, David A. Mrazek, Joanna M. Biernacka, Marin Veldić, Julie M. Cunningham and Robert M. Post. Their work appears in journals such as Cell Reports, Cell, Cancer Cell, Cell Systems and Immunity.
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.