Brian C. Beard
Impact in
Papers in
-
- CRISPR and Genetic Engineering 24
- RNA Interference and Gene Delivery 23
- DNA Repair Mechanisms 8
- Pluripotent Stem Cells Research 8
- Genetics 46
- Virus-based gene therapy research 44
- Mesenchymal stem cell research 6
- Co-authors
- Hans‐Peter Kiem (47 shared papers)Grant D. Trobridge (29 shared papers)Michael J. Smerdon (4 shared papers)Jennifer E. Adair (14 shared papers)Samuel H. Wilson (2 shared papers)Tobias Neff (6 shared papers)Christina Ironside (8 shared papers)Laura J. Peterson (3 shared papers)
- Journals
- Blood (19 papers)Human Gene Therapy (8 papers)Experimental Hematology (6 papers)Molecular Therapy (5 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Brian C. Beard
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Virology 156
- Genetics 907
- Molecular Biology 1.2k
- Genetics 179
- Hematology 177
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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 131 | |
| 2 | 2010 | 93 | |
| 3 | 2007 | 90 | |
| 4 | 2008 | 89 | |
| 5 | 2004 | 83 | |
| 6 | 1999 | 78 | |
| 7 | 2014 | 75 | |
| 8 | 2012 | 75 | |
| 9 | 2013 | 69 | |
| 10 | 2007 | 62 | |
| 11 | 2004 | 58 | |
| 12 | 2008 | 57 | |
| 13 | 2007 | 55 | |
| 14 | 2009 | 51 | |
| 15 | 2009 | 51 | |
| 16 | 2005 | 43 | |
| 17 | 2015 | 38 | |
| 18 | 2006 | 37 | |
| 19 | 2014 | 34 | |
| 20 | 2004 | 32 |
About Brian C. Beard
Brian C. Beard is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Immunology, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (44 papers), CRISPR and Genetic Engineering (24 papers), RNA Interference and Gene Delivery (23 papers), CAR-T cell therapy research (14 papers), DNA Repair Mechanisms (8 papers), Pluripotent Stem Cells Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Virology (156 citations), Genetics (907 citations), Molecular Biology (1.2k citations), Genetics (179 citations) and Hematology (177 citations). Brian C. Beard has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Hans‐Peter Kiem, Grant D. Trobridge, Michael J. Smerdon, Jennifer E. Adair, Samuel H. Wilson, Tobias Neff, Christina 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.