Andrew B. Nobel

35.0k total citations · 3 hit papers
86 papers, 10.6k citations indexed

About

Andrew B. Nobel is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Andrew B. Nobel has authored 86 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 27 papers in Artificial Intelligence and 15 papers in Statistics and Probability. Recurrent topics in Andrew B. Nobel's work include Gene expression and cancer classification (27 papers), Statistical Methods and Inference (10 papers) and Bioinformatics and Genomic Networks (10 papers). Andrew B. Nobel is often cited by papers focused on Gene expression and cancer classification (27 papers), Statistical Methods and Inference (10 papers) and Bioinformatics and Genomic Networks (10 papers). Andrew B. Nobel collaborates with scholars based in United States, Hungary and Germany. Andrew B. Nobel's 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 and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Andrew B. Nobel

75 papers receiving 10.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Repeated observation of breast tumor subtypes in independent gene expression data sets

2003 4.0k citations Thérese Sørlie, Joel S. Parker et al. profile →
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes

2009 3.1k citations Joel S. Parker, Michael E. Mullins et al. Journal of Clinical Oncology profile →
Concordance among Gene-Expression–Based Predictors for Breast Cancer

2006 977 citations Huihui Fan, Andrew B. Nobel et al. profile →

Peers

Countries citing papers authored by Andrew B. Nobel

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Community modulated recursive trees and population dependent branching processes 2024 ·UNC Libraries ·Andrew B. Nobel, Shankar Bhamidi, (unknown), (unknown)	0
2	Estimation of stationary optimal transport plans 2024 ·Information and Inference A Journal of the IMA ·Kevin O’Connor, Andrew B. Nobel, (unknown)	0
3	Memoryless Sequences for General Losses 2020 ·Journal of Machine Learning Research ·Rafael Frongillo, Andrew B. Nobel	0
4	HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues 2018 ·BMC Bioinformatics ·Gen Li, Dereje D. Jima, Fred A. Wright, Andrew B. Nobel	12
5	A testing based approach to the discovery of differentially correlated variable sets 2018 ·The Annals of Applied Statistics ·(unknown), Kai Zhang, Andrew B. Nobel	3
6	HT-eQTL: Integrative eQTL Analysis in a Large Number of Human Tissues 2017 ·arXiv (Cornell University) ·Gen Li, Dereje D. Jima, Fred A. Wright, Andrew B. Nobel	1
7	Consistent testing for recurrent genomic aberrations: Table 1. 2015 ·Biometrika ·Vonn Walter, Fred A. Wright, Andrew B. Nobel	1
8	Reconstruction of a low-rank matrix in the presence of Gaussian noise 2013 ·Journal of Multivariate Analysis ·Andrey A. Shabalin, Andrew B. Nobel	86
9	Reprioritizing Genetic Associations in Hit Regions Using LASSO‐Based Resample Model Averaging 2012 ·Genetic Epidemiology ·William Valdar, (unknown), Andrew B. Nobel, Chris Holmes	18
10	Basal-like Breast cancer DNA copy number losses identify genes involved in genomic instability, response to therapy, and patient survival 2011 ·Breast Cancer Research and Treatment ·Victor Weigman, (unknown), Andrey A. Shabalin, Xiaping He, Joel S. Parker, Silje Nord, Tatyana A. Grushko, Dezheng Huo, Chika Nwachukwu, Andrew B. Nobel, Vessela N. Kristensen, Anne‐Lise Børresen‐Dale, Olufunmilayo I. Olopade, Charles M. Perou	90
11	Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes breakdown → 2009 ·Journal of Clinical Oncology ·Joel S. Parker, Michael E. Mullins, Maggie C.U. Cheang, Samuel Leung, David Voduc, Tammi L. Vickery, Sherri R. Davies, (unknown), Xiaping He, Zhiyuan Hu, John F. Quackenbush, Inge J. Stijleman, Juan Palazzo, J. S. Marron, Andrew B. Nobel, Elaine R. Mardis, Torsten O. Nielsen, Matthew J. Ellis, Charles M. Perou, Philip S. Bernard	3093
12	A Bayesian Model for Cross-Study Differential Gene Expression 2009 ·Journal of the American Statistical Association ·Robert B. Scharpf, Håkon Tjelmeland, Giovanni Parmigiani, Andrew B. Nobel	25
13	The Set2/Rpd3S Pathway Suppresses Cryptic Transcription without Regard to Gene Length or Transcription Frequency 2009 ·PLoS ONE ·Colin R. Lickwar, Bhargavi Rao, Andrey A. Shabalin, Andrew B. Nobel, Brian D. Strahl, Jason D. Lieb	51
14	Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer 2006 ·Molecular Cancer Therapeutics ·Thérese Sørlie, Charles M. Perou, Huihui Fan, Stephanie Geisler, Turid Aas, Andrew B. Nobel, Gun Anker, Lars A. Akslen, David Botstein, Anne‐Lise Børresen‐Dale, Per Eystein Lønning	97
15	Understanding patterns of TCP connection usage with statistical clustering 2005 ·Félix Hernández-Campos, Andrew B. Nobel, F. Donelson Smith, Kevin Jeffay	10
16	Significance analysis of functional categories in gene expression studies: a structured permutation approach 2005 ·Computer applications in the biosciences ·William T. Barry, Andrew B. Nobel, Fred A. Wright	251
17	ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data 2005 ·Genome biology ·Michael Buck, Andrew B. Nobel, Jason D. Lieb	122
18	Histogram regression estimation using data-dependent partitions 1996 ·The Annals of Statistics ·Andrew B. Nobel	63
19	Autozygosity mapping of autosomal recessive non-syndromic sensorineural hearing loss (ARNSSNHL) 1994 ·The American Journal of Human Genetics ·Kathryn Brown, Andrew B. Nobel, A.F. Markham	1
20	Evaluating the performance of a simple inductive procedure in the presence of overfitting error 1991 ·Conference on Learning Theory ·Andrew B. Nobel	1

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.

Explore authors with similar magnitude of impact