Michael R. Angelo
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Molecular Biology top 1%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Breast Cancer Treatment Studies 2
-
- Gene expression and cancer classification 4
- Co-authors
- Jill P. Mesirov (5 shared papers)Eric S. Lander (5 shared papers)Todd R. Golub (5 shared papers)Pablo Tamayo (5 shared papers)Michael M. Reich (4 shared papers)Sayan Mukherjee (3 shared papers)Sridhar Ramaswamy (3 shared papers)Ryan M. Rifkin (3 shared papers)
- Journals
- Cancer Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Michael R. Angelo
17 papers receiving 6.5k citations
Michael R. Angelo's Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 444
- Molecular Biology 2.7k
- Pathology and Forensic Medicine 557
- Cancer Research 279
- Oncology 239
Countries citing papers authored by Michael R. Angelo
This map shows the geographic impact of Michael R. Angelo'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 R. Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Angelo more than expected).
Fields of papers citing papers by Michael R. Angelo
This network shows the impact of papers produced by Michael R. Angelo. 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 R. Angelo. The network helps show where Michael R. Angelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael R. Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning Hit paper breakdown → | 2002 | 2036 |
| 2 | Prediction of central nervous system embryonal tumour outcome based on gene expression Hit paper breakdown → | 2002 | 1945 |
| 3 | Multiclass cancer diagnosis using tumor gene expression signatures Hit paper breakdown → | 2001 | 1591 |
| 4 | 2001 | 565 | |
| 5 | 2021 | 214 | |
| 6 | 2001 | 208 | |
| 7 | 2008 | 58 | |
| 8 | 2003 | 53 | |
| 9 | 2022 | 53 | |
| 10 | 2025 | 28 | |
| 11 | 2022 | 26 | |
| 12 | 2000 | 20 | |
| 13 | 2025 | 16 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2026 | 1 |
About Michael R. Angelo
Michael R. Angelo is a scholar working on Cancer Research, Molecular Biology, Neurology, Genetics and Cell Biology, having authored 17 papers that have together received 6.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Breast Cancer Treatment Studies (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Hemoglobin structure and function (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (444 citations), Molecular Biology (2.7k citations), Pathology and Forensic Medicine (557 citations), Cancer Research (279 citations) and Oncology (239 citations). Michael R. Angelo has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Jill P. Mesirov, Eric S. Lander, Todd R. Golub, Pablo Tamayo, Michael M. Reich, Sayan Mukherjee, Sridhar Ramaswamy, Ryan M. Rifkin, Chen‐Hsiang Yeang and Tomaso Poggio. Their work appears in journals such as Cancer Cell, Proceedings of the National Academy of Sciences, Nature Medicine, Methods in enzymology on CD-ROM/Methods in enzymology and Nature Methods.
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.