Earl Hubbell

12.3k total citations · 2 hit papers
69 papers, 4.5k citations indexed

About

Earl Hubbell is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Earl Hubbell has authored 69 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cancer Research, 32 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Earl Hubbell's work include Cancer Genomics and Diagnostics (42 papers), Molecular Biology Techniques and Applications (18 papers) and Global Cancer Incidence and Screening (13 papers). Earl Hubbell is often cited by papers focused on Cancer Genomics and Diagnostics (42 papers), Molecular Biology Techniques and Applications (18 papers) and Global Cancer Incidence and Screening (13 papers). Earl Hubbell collaborates with scholars based in United States, United Kingdom and Nigeria. Earl Hubbell's co-authors include Rui Mei, Weimin Liu, Stephen P. A. Fodor, Robert Yang, Mark S. Chee, Macdonald Morris, Anthony Berno, J. Winkler, David J. Lockhart and David Stern and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Earl Hubbell

64 papers receiving 4.3k 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.

Accessing Genetic Information with High-Density DNA Arrays

1996 1.1k citations Mark S. Chee, Robert Yang et al. profile →
Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs

2008 507 citations Joshua M. Korn, Finny G. Kuruvilla et al. Nature Genetics profile →

Peers

Countries citing papers authored by Earl Hubbell

Since Specialization

Citations

This map shows the geographic impact of Earl Hubbell'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 Earl Hubbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl Hubbell more than expected).

Fields of papers citing papers by Earl Hubbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl Hubbell. 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 Earl Hubbell. The network helps show where Earl Hubbell may publish in the future.

Co-authorship network of co-authors of Earl Hubbell

This figure shows the co-authorship network connecting the top 25 collaborators of Earl Hubbell. A scholar is included among the top collaborators of Earl Hubbell 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 Earl Hubbell. Earl Hubbell 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	Modeled Benefit of Individual Cancer Signal Origin Prediction for Multi-Cancer Early Detection 2025 ·Cancer Research Communications ·Eric A. Klein, Timothy R. Church, Christina A. Clarke, Earl Hubbell	0
2	Estimated proportion of cancer deaths not addressed by current cancer screening efforts in the United States 2025 ·Cancer Biomarkers ·Joshua J. Ofman, William L. Dahut, Ahmedin Jemal, Ellen T. Chang, Christina A. Clarke, Earl Hubbell, (unknown), Allison W. Kurian, Graham A. Colditz, Alpa V. Patel	1
3	Assessment of the impact of multi-cancer early detection test screening intervals on late-stage cancer at diagnosis and mortality using a state-transition model 2025 ·BMJ Open ·Brian Rous, Christina A. Clarke, Earl Hubbell, Peter Sasieni	1
4	Real-world data and clinical experience from over 100,000 multi-cancer early detection tests 2025 ·Nature Communications ·Marc Matrana, (unknown), (unknown), (unknown), (unknown), Matthew McMillin, (unknown), Oliver Venn, John F. Beausang, Geoff Stanley, Earl Hubbell, Kathryn N. Kurtzman, Jeffrey M. Venstrom, (unknown), (unknown)	0
5	Avoiding lead-time bias by estimating stage-specific proportions of cancer and non-cancer deaths 2024 ·Cancer Causes & Control ·Ellen T. Chang, Christina A. Clarke, Graham A. Colditz, Allison W. Kurian, Earl Hubbell	3
6	A Targeted Methylation–Based Multicancer Early Detection Blood Test Preferentially Detects High-Grade Prostate Cancer While Minimizing Overdiagnosis of Indolent Disease 2024 ·JCO Precision Oncology ·Brandon A. Mahal, (unknown), Earl Hubbell, (unknown), Jeffrey M. Venstrom, (unknown), Jordan J. Karlitz, Alexander W. Wyatt, Eric A. Klein	8
7	Overall and non‐lung cancer incidence and mortality in the National Lung Screening Trial: Opportunities for multi‐cancer early detection 2024 ·Cancer Medicine ·Alpa V. Patel, Ellen T. Chang, Allan Hackshaw, Sam M. Janes, Diana S.M. Buist, Earl Hubbell, Christina A. Clarke, Graham A. Colditz	0
8	70MO Cell-free DNA indicates potential preclinical detectability of cancer signals up to 30 months prior to diagnosis 2024 ·Annals of Oncology ·Celine M. Vachon, Ran Jiang, Jack Youngren, Eileen Fung, Earl Hubbell, Oliver Venn, (unknown), Karthik V. Giridhar, (unknown), Benjamin A. Rybicki, Ron Korn, (unknown), (unknown)	1
9	Potential for Cure by Stage across the Cancer Spectrum in the United States 2023 ·Cancer Epidemiology Biomarkers & Prevention ·Earl Hubbell, Christina A. Clarke, Karin E. Smedby, Hans‐Olov Adami, Ellen T. Chang	3
10	Modeled residual current cancer risk after clinical investigation of a positive multicancer early detection test result 2023 ·Cancer ·(unknown), Earl Hubbell, Oliver Venn, Timothy R. Church	6
11	Abstract C139: The robustness of a targeted methylation-based multi-cancer early detection (MCED) test to population differences in self-reported ethnicity 2023 ·Cancer Epidemiology Biomarkers & Prevention ·Oliver Venn, Joerg Bredno, (unknown), Earl Hubbell, Kathryn N. Kurtzman, John F. Beausang, Charles Swanton	1
12	Modelled mortality benefits of multi-cancer early detection screening in England 2023 ·British Journal of Cancer ·Peter Sasieni, Rebecca Smittenaar, Earl Hubbell, John Broggio, Richard D Neal, Charles Swanton	21
13	Prognostic Significance of Blood-Based Multi-cancer Detection in Plasma Cell-Free DNA 2021 ·Clinical Cancer Research ·Xiaoji Chen, Dong Zhao, Earl Hubbell, Kathryn N. Kurtzman, Geoffrey R. Oxnard, Oliver Venn, Collin Melton, Christina A. Clarke, Rita Shaknovich, (unknown), (unknown), Michael V. Seiden, Eric A. Klein, Eric T. Fung, Minetta C. Liu	79
14	PCN272 IMPROVED EFFICIENCY OF CANCER SCREENING WITH A MULTI-CANCER EARLY DETECTION TEST 2020 ·Value in Health ·Sarah S. Cohen, Heidi Reichert, M. Feldman, Earl Hubbell, Christina A. Clarke, Karen Chung	1
15	Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs breakdown → 2008 ·Nature Genetics ·Joshua M. Korn, Finny G. Kuruvilla, Steven A. McCarroll, Alec Wysoker, James Nemesh, Simon Cawley, Earl Hubbell, (unknown), Patrick Collins, Katayoon Darvishi, Charles Lee, Marcia M. Nizzari, Stacey B. Gabriel, Shaun Purcell, Mark J. Daly, David Altshuler	507
16	Guidelines - Expression profiling - best practices for data generation and interpretation in clinical trials 2004 ·Nature Reviews Genetics ·(unknown), Tarif Awad, (unknown), Tracie Webster, Earl Hubbell	29
17	High-throughput microarray-based genotyping 2004 ·Guang Yang, (unknown), Earl Hubbell	1
18	Genotyping over 100,000 SNPs on a pair of oligonucleotide arrays 2004 ·Nature Methods ·Hajime Matsuzaki, Shoulian Dong, (unknown), Xiaojun Di, Guoying Liu, Earl Hubbell, (unknown), (unknown), Mónica Chadha, Henry Hui, Geoffrey Yang, Giulia C. Kennedy, Teresa Webster, Simon Cawley, P. Sean Walsh, Keith Jones, Stephen P. A. Fodor, Rui Mei	317
19	Gene structure-based splice variant deconvolution using a microarry platform 2003 ·Bioinformatics ·Hui Wang, Earl Hubbell, (unknown), Gangwu Mei, Melissa Cline, Gang Lu, Tyson A. Clark, (unknown), Manuel Ares, David Kulp, David Haussler	82
20	Extensive polymorphisms observed in HIV–1 clade B protease gene using high–density oligonucleotide arrays 1996 ·Nature Medicine ·Michael J. Kozal, Nila Shah, Naiping Shen, Robert Yang, Raymond V. Fucini, Thomas C. Merigan, Douglas D. Richman, Don Morris, Earl Hubbell, Mark S. Chee, T Gingeras	413

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