Robert D. Daber
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Genetics top 5%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
- Bacterial Genetics and Biotechnology
Papers in
-
- Cancer Genomics and Diagnostics 7
- Genetics 8
- Genomic variations and chromosomal abnormalities 3
- Chronic Lymphocytic Leukemia Research 2
- Genomics and Rare Diseases 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Mitchell Lewis (6 shared papers)Jennifer J. D. Morrissette (11 shared papers)Steven E. Stayrook (1 shared paper)Allison F. Rosenberg (1 shared paper)Daniel DeSloover (3 shared papers)Laura Kathleen Conlin (4 shared papers)Sanika Khare (1 shared paper)Jianhua Zhao (6 shared papers)
- Journals
- Journal of Molecular Biology (4 papers)Blood (2 papers)Nature Communications (2 papers)PLoS ONE (2 papers)Journal of Molecular Diagnostics (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Robert D. Daber
36 papers receiving 1.4k citations
Robert D. Daber's Hit Papers
Peers
Comparison fields: 5 of 55
- Cancer Research 207
- Genetics 245
- Hematology 78
- Genetics 39
- Oncology 77
Countries citing papers authored by Robert D. Daber
This map shows the geographic impact of Robert D. Daber'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 Robert D. Daber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Daber more than expected).
Fields of papers citing papers by Robert D. Daber
This network shows the impact of papers produced by Robert D. Daber. 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 Robert D. Daber. The network helps show where Robert D. Daber may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert D. Daber, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA Hit paper breakdown → | 2023 | 268 |
| 2 | 2017 | 224 | |
| 3 | 2015 | 161 | |
| 4 | 2013 | 90 | |
| 5 | 2023 | 74 | |
| 6 | 2007 | 68 | |
| 7 | 2015 | 51 | |
| 8 | 2012 | 50 | |
| 9 | 2024 | 31 | |
| 10 | 2011 | 29 | |
| 11 | 2009 | 26 | |
| 12 | 2010 | 26 | |
| 13 | 2011 | 25 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2009 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2009 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2013 | 18 |
About Robert D. Daber
Robert D. Daber is a scholar working on Cancer Research, Genetics, Hematology, Genetics and Health Information Management, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Acute Myeloid Leukemia Research (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Lung Cancer Treatments and Mutations (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genomics and Rare Diseases (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Cancer Research (207 citations), Genetics (245 citations), Hematology (78 citations), Genetics (39 citations) and Oncology (77 citations). Robert D. Daber has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mitchell Lewis, Jennifer J. D. Morrissette, Steven E. Stayrook, Allison F. Rosenberg, Daniel DeSloover, Laura Kathleen Conlin, Sanika Khare, Jianhua Zhao, Roger A. Greenberg and Lauren Michelle Fishbein. Their work appears in journals such as Journal of Molecular Biology, Blood, Nature Communications, PLoS ONE and Journal of Molecular Diagnostics.
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.