Hemant Ishwaran
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Statistical Methods and Inference 28
- Statistical Methods and Bayesian Inference 20
- Statistical Methods in Clinical Trials 6
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- Bayesian Methods and Mixture Models 27
- Co-authors
- Lancelot F. JamesJ. Sunil RaoXi ChenUdaya B. KogalurEugene H. BlackstoneThomas W. RiceAndy J. MinnFei Tang
- Journals
- Journal of the American Statistical Association (9 papers)The Annals of Statistics (5 papers)Journal of Computational and Graphical Statistics (4 papers)Canadian Journal of Statistics (4 papers)Cell (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Hemant Ishwaran
105 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Statistics and Probability 1.9k
- Oncology 2.2k
- Cancer Research 1.2k
- Artificial Intelligence 2.5k
- Immunology 1.4k
Countries citing papers authored by Hemant Ishwaran
This map shows the geographic impact of Hemant Ishwaran'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 Hemant Ishwaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemant Ishwaran more than expected).
Fields of papers citing papers by Hemant Ishwaran
This network shows the impact of papers produced by Hemant Ishwaran. 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 Hemant Ishwaran. The network helps show where Hemant Ishwaran may publish in the future.
Co-authors
The 25 scholars most cited alongside Hemant Ishwaran, 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 | 2024 | 4 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 6 | |
| 4 | 2019 | 304 | |
| 5 | 2016 | 219 | |
| 6 | 2016 | 94 | |
| 7 | Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade Hit paper breakdown → | 2016 | 804 |
| 8 | 2012 | 310 | |
| 9 | 2011 | 167 | |
| 10 | 2010 | 16 | |
| 11 | SERIES REPRESENTATIONS FOR MULTIVARIATE GENERALIZED GAMMA PROCESSES VIA A SCALE INVARIANCE PRINCIPLE | 2009 | 11 |
| 12 | 2009 | 324 | |
| 13 | 2009 | 18 | |
| 14 | 2007 | 299 | |
| 15 | 2007 | 16 | |
| 16 | Generalized weighted Chinese restaurant processes for species sampling mixture models | 2003 | 96 |
| 17 | Some further developments for stick-breaking priors: Finite and infinite clustering and classification | 2003 | 32 |
| 18 | A recursive method for functionals of Poisson processes | 2002 | 4 |
| 19 | DIRICHLET PRIOR SIEVES IN FINITE NORMAL MIXTURES | 2002 | 87 |
| 20 | 2002 | 60 |
About Hemant Ishwaran
Hemant Ishwaran is a scholar working on Statistics and Probability, Artificial Intelligence, Transplantation, Health Information Management and General Dentistry, having authored 107 papers that have together received 11.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Bayesian Methods and Mixture Models (27 papers), Statistical Methods and Bayesian Inference (20 papers), Esophageal Cancer Research and Treatment (12 papers), Gastric Cancer Management and Outcomes (11 papers), Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Statistics and Probability (1.9k citations), Oncology (2.2k citations), Cancer Research (1.2k citations), Artificial Intelligence (2.5k citations) and Immunology (1.4k citations). Hemant Ishwaran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lancelot F. James, J. Sunil Rao, Xi Chen, Udaya B. Kogalur, Eugene H. Blackstone, Thomas W. Rice, Andy J. Minn, Fei Tang, Michael S. Lauer and Mahmoud Zarepour. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Journal of Computational and Graphical Statistics, Canadian Journal of Statistics and Cell.
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.