Jay Engel
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 16
- Breast Cancer Treatment Studies 6
- Cancer-related molecular mechanisms research 2
-
- Spectroscopy Techniques in Biomedical and Chemical Research 5
- Co-authors
- Francisco E Perera (4 shared papers)Varagur Venkatesan (3 shared papers)Ronald L. Holliday (2 shared papers)Murray J. Girotti (1 shared paper)David P. Girvan (1 shared paper)Tari A. King (1 shared paper)Anat Kornecki (1 shared paper)Andrea F. Eisen (1 shared paper)
- Journals
- Cell Reports (12 papers)Cell (11 papers)Cancer Cell (5 papers)Cell Systems (3 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Jay Engel
48 papers receiving 34.5k citations
Jay Engel's Hit Papers
Peers
Comparison fields: 5 of 147
- Cancer Research 8.3k
- Oncology 9.9k
- Pulmonary and Respiratory Medicine 6k
- Molecular Biology 9.9k
- Genetics 958
Countries citing papers authored by Jay Engel
This map shows the geographic impact of Jay Engel'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 Jay Engel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Engel more than expected).
Fields of papers citing papers by Jay Engel
This network shows the impact of papers produced by Jay Engel. 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 Jay Engel. The network helps show where Jay Engel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Engel, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5244 |
| 2 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4385 |
| 3 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2633 |
| 4 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2540 |
| 5 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 6 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Hit paper breakdown → | 2017 | 1951 |
| 7 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 8 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 9 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 10 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 11 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 771 |
| 12 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 13 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 14 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 15 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
| 16 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 580 |
| 17 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 470 |
| 18 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 457 |
| 19 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 455 |
| 20 | Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas Hit paper breakdown → | 2018 | 431 |
About Jay Engel
Jay Engel is a scholar working on Cancer Research, Biophysics, Molecular Biology, Artificial Intelligence and Oncology, having authored 49 papers that have together received 35k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Breast Cancer Treatment Studies (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), AI in cancer detection (5 papers), RNA Research and Splicing (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (8.3k citations), Oncology (9.9k citations), Pulmonary and Respiratory Medicine (6k citations), Molecular Biology (9.9k citations) and Genetics (958 citations). Jay Engel has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Francisco E Perera, Varagur Venkatesan, Ronald L. Holliday, Murray J. Girotti, David P. Girvan, Tari A. King, Anat Kornecki, Andrea F. Eisen, Muriel Brackstone and Edward W. Yu. Their work appears in journals such as Cell Reports, Cell, Cancer Cell, Cell Systems and International Journal of Computer Assisted Radiology and Surgery.
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.