Joseph G. Ibrahim

26.8k citations

397 papers · 16.6k indexed · 6 hit papers · h-index 60

Co-authors: Ming‐Hui Chen Stuart R. Lipsitz Debajyoti Sinha Michael I. Love Anqi Zhu John M. Kirkwood Qi-Man Shao Hongtu Zhu
Topics: Statistical Methods and Inference (177 papers)Statistical Methods and Bayesian Inference (153 papers)Statistical Methods in Clinical Trials (112 papers)
Cited by: Statistics and Probability Oncology Statistics, Probability and Uncertainty
Journals: Nucleic Acids Research Journal of Clinical Oncology Journal of the American Statistical Association
Partner nations: United States China Belgium

In The Last Decade

Joseph G. Ibrahim

361 papers receiving 16.0k citations

Hit Papers

5 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.

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences

2018 1.0k citations Anqi Zhu, Joseph G. Ibrahim et al. Bioinformatics profile →
Bayesian Survival Analysis

2001 668 citations Joseph G. Ibrahim, Ming‐Hui Chen et al. profile →
High- and Low-Dose Interferon Alfa-2b in High-Risk Melanoma: First Analysis of Intergroup Trial E1690/S9111/C9190

2000 658 citations Joseph G. Ibrahim et al. profile →
High-Dose Interferon Alfa-2b Significantly Prolongs Relapse-Free and Overall Survival Compared With the GM2-KLH/QS-21 Vaccine in Patients With Resected Stage IIB-III Melanoma: Results of Intergroup Trial E1694/S9512/C509801

2001 653 citations Joseph G. Ibrahim et al. profile →
Monte Carlo Methods in Bayesian Computation

2000 625 citations Ming‐Hui Chen, Qi-Man Shao et al. profile →
Use of historical control data for assessing treatment effects in clinical trials

2013 327 citations Joseph G. Ibrahim et al. profile →

Peers

Countries citing papers authored by Joseph G. Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Joseph G. Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph G. Ibrahim. 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 Joseph G. Ibrahim. The network helps show where Joseph G. Ibrahim may publish in the future.

Co-authorship network of co-authors of Joseph G. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph G. Ibrahim. A scholar is included among the top collaborators of Joseph G. Ibrahim 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 Joseph G. Ibrahim. Joseph G. Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Canopy2: Tumor Phylogeny Inference by Bulk DNA and Single-Cell RNA Sequencing 2025 ·Statistics in Biosciences ·Ann Marie Weideman,Rujin Wang,Joseph G. Ibrahim,Yuchao Jiang	0
2	Jointly Modeling Time‐To‐Event and Longitudinal Data With Individual‐Specific Change Points: A Case Study in Modeling Tumor Burden 2025 ·Statistics in Medicine ·(unknown),(unknown),(unknown),(unknown),Chenguang Wang,Joseph G. Ibrahim	0
3	Bayesian Design of Multi-Regional Clinical Trials with Time-to-Event Endpoints 2023 ·Biometrics ·(unknown),Joseph G. Ibrahim,Matthew A. Psioda	1
4	Bayesian generalized linear low rank regression models for the detection of vaccine‐adverse event associations 2023 ·Statistics in Medicine ·(unknown),Xianming Tan,(unknown),Joseph G. Ibrahim	0
5	Mixture survival trees for cancer risk classification 2022 ·Lifetime Data Analysis ·(unknown),Donglin Zeng,Jason J. Z. Liao,G. Frank Liu,Xianming Tan,Guoqing Diao,Joseph G. Ibrahim	1
6	Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data 2022 ·Lifetime Data Analysis ·(unknown),Matthew A. Psioda,Joseph G. Ibrahim	0
7	Efficient detection and classification of epigenomic changes under multiple conditions 2021 ·Biometrics ·Pedro L. Baldoni,Naim U. Rashid,Joseph G. Ibrahim	1
8	Nonparametric expression analysis using inferential replicate counts 2019 ·Nucleic Acids Research ·Anqi Zhu,Avi Srivastava,Joseph G. Ibrahim,Rob Patro,Michael I. Love	58
9	A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials 2019 ·Statistics in Medicine ·Jing Wu,Ming‐Hui Chen,Elizabeth D. Schifano,Joseph G. Ibrahim,Jeffrey D. Fisher	3
10	Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differencesbreakdown → 2018 ·Bioinformatics ·Anqi Zhu,Joseph G. Ibrahim,Michael I. Love	1027
11	Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies 2018 ·Cerebral Cortex ·Bingxin Zhao,Joseph G. Ibrahim,Yun Li,Tengfei Li,Yue Wang,Yue Shan,Ziliang Zhu,Fan Zhou,Jingwen Zhang,Chao Huang,(unknown),Liuqing Yang,Paul M. Thompson,Hongtu Zhu	34
12	Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness 2017 ·Psychometrika ·Niansheng Tang,Sy‐Miin Chow,Joseph G. Ibrahim,Hongtu Zhu	10
13	Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients 2017 ·PMC ·(unknown),Kelly S. Giovanello,Andrew J. Saykin,(unknown),Dehan Kong,Yue Wang,Liuqing Yang,Joseph G. Ibrahim,P. Murali Doraiswamy,Hongtu Zhu	2
14	Patients' Understanding of How Genotype Variation Affects Benefits of Tamoxifen Therapy for Breast Cancer 2014 ·Public Health Genomics ·(unknown),Jessica T. DeFrank,(unknown),Joseph G. Ibrahim,Christine M. Walko,Peter Rubin,(unknown),Susan Moore,(unknown),(unknown),(unknown),Gary N. Schwartz,(unknown),Howard L. McLeod,Lisa A. Carey,William P. Irvin	6
15	Timeless functions independently of the Tim-Tipin complex to promote sister chromatid cohesion in normal human fibroblasts 2011 ·Cell Cycle ·Stephanie L. Smith‐Roe,Shivani Patel,Dennis A. Simpson,Ying Zhou,(unknown),Joseph G. Ibrahim,Kathleen Kaiser‐Rogers,Marila Cordeiro‐Stone,William K. Kaufmann	27
16	LIKELIHOOD-BASED INFERENCE WITH NONIGNORABLE MISSING RESPONSES AND COVARIATES IN MODELS FOR DISCRETE LONGITUDINAL DATA 2006 ·Statistica Sinica ·(unknown),Joseph G. Ibrahim	22
17	On propriety of the posterior distribution and existence of the maximum likelihood estimator for regression models with covariates missing at random 2004 ·Qi-Man Shao,(unknown),Joseph G. Ibrahim	9
18	Bayesian Methods for a Three-State Model for Rodent Carcinogenicity Studies 2002 ·Biometrics ·Jonathan French,Joseph G. Ibrahim	6
19	Criterion-based methods for Bayesian model assessment 2001 ·Statistica Sinica ·Joseph G. Ibrahim,Ming Hui Chen,Debajyoti Sinha	55
20	Missing covariates in generalized linear models when the missing data mechanism is nonignorable 1999 ·Joseph G. Ibrahim	83

About Joseph G. Ibrahim

Joseph G. Ibrahim is a scholar working on Statistics and Probability, Computational Mathematics and Management Science and Operations Research, having authored 397 papers that have together received 16.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (177 papers), Statistical Methods and Bayesian Inference (153 papers) and Statistical Methods in Clinical Trials (112 papers). The work is most often cited by research in Statistics and Probability (7.8k citations), Oncology (2.8k citations) and Statistics, Probability and Uncertainty (704 citations). Joseph G. Ibrahim has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Ming‐Hui Chen, Ming‐Hui Chen, Stuart R. Lipsitz, Debajyoti Sinha, Michael I. Love, Anqi Zhu, John M. Kirkwood, Qi-Man Shao, Hongtu Zhu and Purushottam W. Laud. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of the American Statistical Association.

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.

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