Dwayne L. Barber
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Erythropoietin and Anemia Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Protein Kinase Regulation and GTPase Signaling 8
- Oncology 35
- Cytokine Signaling Pathways and Interactions 27
- Co-authors
- Alan D. D’Andrea (12 shared papers)C Greenwood (12 shared papers)Vassiliki A. Boussiotis (3 shared papers)Wolfgang J. Schneider (5 shared papers)Gordon J. Freeman (3 shared papers)Lee M. Nadler (3 shared papers)Terri D. Richmond (4 shared papers)S R Parr (7 shared papers)
- Journals
- Blood (17 papers)Journal of Biological Chemistry (14 papers)Biochemical Journal (11 papers)Molecular and Cellular Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Dwayne L. Barber
94 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 125
- Hematology 1.0k
- Immunology 1.4k
- Genetics 603
- Sensory Systems 253
- Oncology 1.4k
Countries citing papers authored by Dwayne L. Barber
This map shows the geographic impact of Dwayne L. Barber'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 Dwayne L. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dwayne L. Barber more than expected).
Fields of papers citing papers by Dwayne L. Barber
This network shows the impact of papers produced by Dwayne L. Barber. 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 Dwayne L. Barber. The network helps show where Dwayne L. Barber may publish in the future.
Co-authors
The 25 scholars most cited alongside Dwayne L. Barber, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 373 | |
| 2 | 1994 | 283 | |
| 3 | 2002 | 269 | |
| 4 | 2005 | 268 | |
| 5 | 2007 | 241 | |
| 6 | 1997 | 207 | |
| 7 | 1976 | 153 | |
| 8 | 2000 | 138 | |
| 9 | 1994 | 125 | |
| 10 | 1991 | 114 | |
| 11 | 1990 | 114 | |
| 12 | 2002 | 111 | |
| 13 | 2005 | 107 | |
| 14 | 1987 | 107 | |
| 15 | 1985 | 87 | |
| 16 | 1997 | 83 | |
| 17 | 1999 | 83 | |
| 18 | 2007 | 82 | |
| 19 | 1996 | 77 | |
| 20 | 1996 | 75 |
About Dwayne L. Barber
Dwayne L. Barber is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, having authored 96 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (27 papers), Chronic Lymphocytic Leukemia Research (12 papers), Chronic Myeloid Leukemia Treatments (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Photoreceptor and optogenetics research (8 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Hematology (1.0k citations), Immunology (1.4k citations), Genetics (603 citations), Sensory Systems (253 citations) and Oncology (1.4k citations). Dwayne L. Barber has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Alan D. D’Andrea, C Greenwood, Vassiliki A. Boussiotis, Wolfgang J. Schneider, Gordon J. Freeman, Lee M. Nadler, Terri D. Richmond, S R Parr, Alla Berezovskaya and Bryan K. Beattie. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemical Journal, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.
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.