Brian C. Beard
Impact in
Papers in
- Genetics 40
- Virus-based gene therapy research 40
- Animal Genetics and Reproduction 3
- Glioma Diagnosis and Treatment 2
- Hematology 17
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 2
- Co-authors
- Hans‐Peter Kiem (51 shared papers)Grant D. Trobridge (30 shared papers)Michael J. Smerdon (4 shared papers)Jennifer E. Adair (15 shared papers)Samuel H. Wilson (2 shared papers)Tobias Neff (6 shared papers)Christina M. Ironside (8 shared papers)Laura J. Peterson (3 shared papers)
- Journals
- Blood (12 papers)Human Gene Therapy (8 papers)Experimental Hematology (6 papers)Molecular Therapy (5 papers)Journal of Clinical Investigation (4 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Brian C. Beard
61 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 70
- Virology 164
- Genetics 899
- Hematology 263
- Genetics 137
- Molecular Biology 450
Countries citing papers authored by Brian C. Beard
This map shows the geographic impact of Brian C. Beard'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 Brian C. Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Beard more than expected).
Fields of papers citing papers by Brian C. Beard
This network shows the impact of papers produced by Brian C. Beard. 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 Brian C. Beard. The network helps show where Brian C. Beard may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian C. Beard, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 139 | |
| 2 | 2007 | 99 | |
| 3 | 2008 | 96 | |
| 4 | 2010 | 96 | |
| 5 | 2004 | 86 | |
| 6 | 2012 | 86 | |
| 7 | 2014 | 84 | |
| 8 | 1999 | 80 | |
| 9 | 2013 | 76 | |
| 10 | 2007 | 68 | |
| 11 | 2009 | 64 | |
| 12 | 2007 | 62 | |
| 13 | 2008 | 61 | |
| 14 | 2009 | 54 | |
| 15 | 2005 | 45 | |
| 16 | 2006 | 45 | |
| 17 | 2015 | 37 | |
| 18 | 2014 | 35 | |
| 19 | 2014 | 34 | |
| 20 | 2004 | 32 |
About Brian C. Beard
Brian C. Beard is a scholar working on Genetics, Hematology, Virology, Molecular Biology and Genetics, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), Hematopoietic Stem Cell Transplantation (16 papers), DNA Repair Mechanisms (4 papers), Animal Genetics and Reproduction (3 papers), HIV Research and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Glioma Diagnosis and Treatment (2 papers) and Metalloenzymes and iron-sulfur proteins (2 papers). The work is most often cited by research in Virology (164 citations), Genetics (899 citations), Hematology (263 citations), Genetics (137 citations) and Molecular Biology (450 citations). Brian C. Beard has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Hans‐Peter Kiem, Grant D. Trobridge, Michael J. Smerdon, Jennifer E. Adair, Samuel H. Wilson, Tobias Neff, Christina M. Ironside, Laura J. Peterson, Martin E. Wohlfahrt and R. Keith Humphries. Their work appears in journals such as Blood, Human Gene Therapy, Experimental Hematology, Molecular Therapy and Journal of Clinical Investigation.
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.