Robert Daber
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Genomic variations and chromosomal abnormalities
Papers in
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- Cancer Genomics and Diagnostics 12
-
- Acute Myeloid Leukemia Research 5
- Co-authors
- Mitchell LewisJennifer J.D. MorrissetteSteven E. StayrookAllison F. RosenbergDaniel DeSlooverLaura K. ConlinMatthew SochorBradley Wubbenhorst
- Journals
- Journal of Clinical Oncology (4 papers)Journal of Molecular Biology (4 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Pediatric Blood & Cancer (1 paper)
- Partner nations
- United StatesItalyMexico
In The Last Decade
Robert Daber
33 papers receiving 648 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 182
- Genetics 85
- Hematology 80
- Genetics 160
- Endocrinology, Diabetes and Metabolism 82
Countries citing papers authored by Robert Daber
This map shows the geographic impact of Robert 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 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 Daber more than expected).
Fields of papers citing papers by Robert Daber
This network shows the impact of papers produced by Robert 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 Daber. The network helps show where Robert Daber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2019 | 16 | |
| 3 | 2018 | 10 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 6 | |
| 6 | 2015 | 39 | |
| 7 | 2015 | 138 | |
| 8 | 2014 | 10 | |
| 9 | 2014 | 20 | |
| 10 | 2014 | 18 | |
| 11 | 2013 | 74 | |
| 12 | 2012 | 48 | |
| 13 | 2011 | 11 | |
| 14 | 2011 | 24 | |
| 15 | 2011 | 27 | |
| 16 | 2010 | 25 | |
| 17 | 2009 | 20 | |
| 18 | 2009 | 25 | |
| 19 | 2009 | 21 | |
| 20 | 2007 | 69 |
About Robert Daber
Robert Daber is a scholar working on Cancer Research, Hematology, Genetics, Genetics and Oncology, having authored 35 papers that have together received 673 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (6 papers), Acute Myeloid Leukemia Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Molecular Biology Techniques and Applications (3 papers), Genetic factors in colorectal cancer (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Cancer Research (182 citations), Genetics (85 citations), Hematology (80 citations), Genetics (160 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Robert Daber has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Mitchell Lewis, Jennifer J.D. Morrissette, Steven E. Stayrook, Allison F. Rosenberg, Daniel DeSloover, Laura K. Conlin, Matthew Sochor, Bradley Wubbenhorst, Katherine L. Nathanson and Roger A. Greenberg. Their work appears in journals such as Journal of Clinical Oncology, Journal of Molecular Biology, PLoS ONE, Cancer Research and Pediatric Blood & Cancer.
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.