Daniel Zelterman
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Statistical Methods and Bayesian Inference 18
- Statistical Methods in Clinical Trials 14
- Statistical Methods and Inference 11
- Statistical Distribution Estimation and Applications 7
- Oncology 20
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Haiqun Lin (1 shared paper)Lynn D. Wilson (3 shared papers)Frank C. Detterbeck (3 shared papers)Bruce G. Haffty (3 shared papers)Brian E. Lally (2 shared papers)Joseph M. Colasanto (2 shared papers)Michael M. Paparella (4 shared papers)Kenneth Lange (1 shared paper)
- Journals
- Technometrics (7 papers)Journal of the American Statistical Association (6 papers)Statistics in Medicine (5 papers)Blood (4 papers)Computational Statistics & Data Analysis (4 papers)
- Partner nations
- United StatesIrelandRussia
In The Last Decade
Daniel Zelterman
123 papers receiving 4.6k citations
Daniel Zelterman's Hit Papers
Peers
Comparison fields: 5 of 201
- Statistics and Probability 451
- Oncology 915
- Otorhinolaryngology 135
- Cancer Research 458
- Pulmonary and Respiratory Medicine 767
Countries citing papers authored by Daniel Zelterman
This map shows the geographic impact of Daniel Zelterman'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 Daniel Zelterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zelterman more than expected).
Fields of papers citing papers by Daniel Zelterman
This network shows the impact of papers produced by Daniel Zelterman. 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 Daniel Zelterman. The network helps show where Daniel Zelterman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Zelterman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 344 | |
| 2 | Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA Hit paper breakdown → | 2018 | 327 |
| 3 | 2006 | 305 | |
| 4 | 2005 | 230 | |
| 5 | 2001 | 228 | |
| 6 | 2002 | 171 | |
| 7 | 2001 | 139 | |
| 8 | 1994 | 133 | |
| 9 | 2007 | 129 | |
| 10 | 2004 | 119 | |
| 11 | 2000 | 113 | |
| 12 | 1999 | 110 | |
| 13 | 2019 | 107 | |
| 14 | 2009 | 104 | |
| 15 | 1988 | 97 | |
| 16 | 2018 | 91 | |
| 17 | 2006 | 89 | |
| 18 | 2009 | 73 | |
| 19 | Models for Discrete Data | 1999 | 73 |
| 20 | 1987 | 65 |
About Daniel Zelterman
Daniel Zelterman is a scholar working on Statistics and Probability, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 134 papers that have together received 4.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (18 papers), Statistical Methods in Clinical Trials (14 papers), Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Inference (11 papers), Optimal Experimental Design Methods (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Statistical Distribution Estimation and Applications (7 papers) and Cervical Cancer and HPV Research (6 papers). The work is most often cited by research in Statistics and Probability (451 citations), Oncology (915 citations), Otorhinolaryngology (135 citations), Cancer Research (458 citations) and Pulmonary and Respiratory Medicine (767 citations). Daniel Zelterman has collaborated with scholars based in United States, Ireland and Russia. Frequent co-authors include Haiqun Lin, Lynn D. Wilson, Frank C. Detterbeck, Bruce G. Haffty, Brian E. Lally, Joseph M. Colasanto, Michael M. Paparella, Kenneth Lange, Marcos V. Goycoolea and Edwin H. Moreano. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Statistics in Medicine, Blood and Computational Statistics & Data Analysis.
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.