Andrew B. Nobel
- Molecular Biology top 1%
- Cancer Research top 0.1%
- Oncology top 0.5%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Charles M. PerouJoel S. ParkerJ. S. MarronAnne‐Lise Børresen‐DaleStephanie GeislerDavid BotsteinPer Eystein LønningThérese Sørlie
- Topics
- Gene expression and cancer classification (27 papers)Statistical Methods and Inference (10 papers)Bioinformatics and Genomic Networks (10 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Andrew B. Nobel
75 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 5.4k
- Cancer Research 4.9k
- Oncology 4.1k
- Genetics 1.5k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Andrew B. Nobel
This map shows the geographic impact of Andrew B. Nobel'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 Andrew B. Nobel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew B. Nobel more than expected).
Fields of papers citing papers by Andrew B. Nobel
This network shows the impact of papers produced by Andrew B. Nobel. 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 Andrew B. Nobel. The network helps show where Andrew B. Nobel may publish in the future.
Co-authorship network of co-authors of Andrew B. Nobel
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew B. Nobel. A scholar is included among the top collaborators of Andrew B. Nobel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew B. Nobel. Andrew B. Nobel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Memoryless Sequences for General Losses | 0 |
| 4 | 12 | |
| 5 | 3 | |
| 6 | HT-eQTL: Integrative eQTL Analysis in a Large Number of Human Tissues | 1 |
| 7 | 1 | |
| 8 | 86 | |
| 9 | 18 | |
| 10 | 90 | |
| 11 | Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypesbreakdown → | 3093 |
| 12 | 25 | |
| 13 | 51 | |
| 14 | 97 | |
| 15 | 10 | |
| 16 | 251 | |
| 17 | 122 | |
| 18 | 63 | |
| 19 | Autozygosity mapping of autosomal recessive non-syndromic sensorineural hearing loss (ARNSSNHL) | 1 |
| 20 | 1 |
About Andrew B. Nobel
Andrew B. Nobel is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 86 papers that have together received 10.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (27 papers), Statistical Methods and Inference (10 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Cancer Research (4.9k citations), Oncology (4.1k citations) and Molecular Biology (5.4k citations). Andrew B. Nobel has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Charles M. Perou, Joel S. Parker, J. S. Marron, Anne‐Lise Børresen‐Dale, Stephanie Geisler, David Botstein, Per Eystein Lønning, Thérese Sørlie, Hilde Johnsen and Robert Pesich. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.