Daniel Zelterman
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference 21
- Statistical Methods in Clinical Trials 19
- Statistical Methods and Inference 15
- Otorhinolaryngology top 1%
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 9
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 11
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- Lung Cancer Treatments and Mutations 12
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- Bayesian Methods and Mixture Models 17
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- Optimal Experimental Design Methods 8
- Co-authors
- Edward R. TufteMichael M. PaparellaHaiqun LinLynn D. WilsonBruce G. HafftyFrank C. DetterbeckBrian E. LallyJoseph M. Colasanto
- Journals
- Journal of Clinical Oncology (10 papers)Biometrics (8 papers)Computational Statistics & Data Analysis (8 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Daniel Zelterman
185 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- Statistics and Probability 626
- Otorhinolaryngology 324
- Oncology 1.5k
- Cancer Research 726
- Pulmonary and Respiratory Medicine 1.2k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 21 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 7 | |
| 4 | 2019 | 103 | |
| 5 | 2019 | 38 | |
| 6 | Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNAbreakdown → | 2018 | 317 |
| 7 | 2017 | 23 | |
| 8 | 2014 | 15 | |
| 9 | 2011 | 101 | |
| 10 | 2010 | 17 | |
| 11 | 2009 | 101 | |
| 12 | 2004 | 11 | |
| 13 | 2003 | 56 | |
| 14 | The use of the L-plastin promoter for adenoviral-mediated, tumor-specific gene expression in ovarian and bladder cancer cell lines. | 2001 | 50 |
| 15 | ACT/DB: A Clinical Trials Database Being Refined on a Pilot Basis at Two Medical Centers | 1998 | 1 |
| 16 | 1997 | 35 | |
| 17 | 1995 | 15 | |
| 18 | 1993 | 17 | |
| 19 | Information, discrimination and divergence in cytology. III. Optimization of classification of Papanicolaou smears. | 1991 | 1 |
| 20 | 1988 | 36 |
About Daniel Zelterman
Daniel Zelterman is a scholar working on Statistics and Probability, Otorhinolaryngology and Oncology, having authored 192 papers that have together received 7.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (21 papers), Statistical Methods in Clinical Trials (19 papers), Bayesian Methods and Mixture Models (17 papers), Statistical Methods and Inference (15 papers), Lung Cancer Treatments and Mutations (12 papers), Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Optimal Experimental Design Methods (8 papers). The work is most often cited by research in Statistics and Probability (626 citations), Otorhinolaryngology (324 citations) and Oncology (1.5k citations). Daniel Zelterman has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Edward R. Tufte, Michael M. Paparella, Haiqun Lin, Lynn D. Wilson, Bruce G. Haffty, Frank C. Detterbeck, Brian E. Lally, Joseph M. Colasanto, Kenneth Lange and Marcos V. Goycoolea. Their work appears in journals such as Journal of Clinical Oncology, Biometrics, Computational Statistics & Data Analysis, Technometrics 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.