Daniel A. Zelterman
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Statistics and Probability top 1%
Papers in
-
- Statistical Methods and Bayesian Inference 16
- Statistical Methods in Clinical Trials 14
- Statistical Methods and Inference 10
- Statistical Distribution Estimation and Applications 7
- Oncology 21
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Haiqun Lin (1 shared paper)Lynn D. Wilson (2 shared papers)Bruce George Haffty (2 shared papers)Frank C. Detterbeck (2 shared papers)Brian E. Lally (1 shared paper)Joseph M. Colasanto (1 shared paper)Michael Mauro 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)Computational Statistics & Data Analysis (4 papers)Clinical Cancer Research (4 papers)
- Partner nations
- United StatesRussiaItaly
In The Last Decade
Daniel A. Zelterman
127 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 204
- Cancer Research 963
- Statistics and Probability 448
- Oncology 1.2k
- Otorhinolaryngology 143
- Pulmonary and Respiratory Medicine 904
Countries citing papers authored by Daniel A. Zelterman
This map shows the geographic impact of Daniel A. 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 A. 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 A. Zelterman more than expected).
Fields of papers citing papers by Daniel A. Zelterman
This network shows the impact of papers produced by Daniel A. 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 A. Zelterman. The network helps show where Daniel A. Zelterman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. 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 | 2008 | 550 | |
| 2 | 2006 | 367 | |
| 3 | 2018 | 367 | |
| 4 | 2006 | 318 | |
| 5 | 2005 | 231 | |
| 6 | 2001 | 225 | |
| 7 | 2002 | 183 | |
| 8 | 2018 | 157 | |
| 9 | 2001 | 140 | |
| 10 | 1994 | 137 | |
| 11 | 2007 | 128 | |
| 12 | 2010 | 121 | |
| 13 | 2019 | 121 | |
| 14 | 2004 | 118 | |
| 15 | 1999 | 115 | |
| 16 | 2000 | 112 | |
| 17 | 2009 | 109 | |
| 18 | 2018 | 107 | |
| 19 | 1988 | 93 | |
| 20 | 2021 | 89 |
About Daniel A. Zelterman
Daniel A. Zelterman is a scholar working on Statistics and Probability, Oncology, Management Science and Operations Research, Cancer Research and Epidemiology, having authored 134 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (16 papers), Statistical Methods in Clinical Trials (14 papers), Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Optimal Experimental Design Methods (8 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 Cancer Research (963 citations), Statistics and Probability (448 citations), Oncology (1.2k citations), Otorhinolaryngology (143 citations) and Pulmonary and Respiratory Medicine (904 citations). Daniel A. Zelterman has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Haiqun Lin, Lynn D. Wilson, Bruce George Haffty, Frank C. Detterbeck, Brian E. Lally, Joseph M. Colasanto, Michael Mauro 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, Computational Statistics & Data Analysis and Clinical Cancer Research.
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.