Michael Rivera
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
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- Thyroid Cancer Diagnosis and Treatment 25
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- Cancer Genomics and Diagnostics 16
- Co-authors
- Ronald A. Ghossein (14 shared papers)Robert Michael Tuttle (8 shared papers)Ashok R. Shaha (9 shared papers)Julio C. Ricarte‐Filho (5 shared papers)James A. Fagin (5 shared papers)Jeffrey A. Knauf (3 shared papers)Michael R. Tuttle (3 shared papers)Daisuke Nonaka (1 shared paper)
- Journals
- Cell Reports (12 papers)Cell (9 papers)Thyroid (6 papers)Cancer Cell (5 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Michael Rivera
87 papers receiving 27.3k citations
Michael Rivera's Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 6.7k
- Oncology 7.1k
- Endocrinology, Diabetes and Metabolism 2.3k
- Molecular Biology 7.3k
- Pulmonary and Respiratory Medicine 3.5k
Countries citing papers authored by Michael Rivera
This map shows the geographic impact of Michael Rivera'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 Michael Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Rivera more than expected).
Fields of papers citing papers by Michael Rivera
This network shows the impact of papers produced by Michael Rivera. 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 Michael Rivera. The network helps show where Michael Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Rivera, 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 90 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 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 5 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 6 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 7 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 8 | Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Hit paper breakdown → | 2018 | 771 |
| 9 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 10 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 11 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 12 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
| 13 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 580 |
| 14 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 470 |
| 15 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 457 |
| 16 | Mutational Profile of Advanced Primary and Metastatic Radioactive Iodine-Refractory Thyroid Cancers Reveals Distinct Pathogenetic Roles for BRAF, PIK3CA , and AKT1 Hit paper breakdown → | 2009 | 456 |
| 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 Michael Rivera
Michael Rivera is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery, Otorhinolaryngology and Oncology, having authored 90 papers that have together received 27.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (25 papers), Cancer Genomics and Diagnostics (16 papers), Adrenal and Paraganglionic Tumors (7 papers), Head and Neck Cancer Studies (5 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Head and Neck Surgical Oncology (3 papers). The work is most often cited by research in Cancer Research (6.7k citations), Oncology (7.1k citations), Endocrinology, Diabetes and Metabolism (2.3k citations), Molecular Biology (7.3k citations) and Pulmonary and Respiratory Medicine (3.5k citations). Michael Rivera has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Ronald A. Ghossein, Robert Michael Tuttle, Ashok R. Shaha, Julio C. Ricarte‐Filho, James A. Fagin, Jeffrey A. Knauf, Michael R. Tuttle, Daisuke Nonaka, Luis A. Chiriboga and Yunjia Tang. Their work appears in journals such as Cell Reports, Cell, Thyroid, Cancer Cell and The Journal of Clinical Endocrinology & Metabolism.
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.