Brian Moldt
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 15
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 4
- Immunodeficiency and Autoimmune Disorders 4
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- CRISPR and Genetic Engineering 8
- RNA Interference and Gene Delivery 6
- Co-authors
- Dennis R. Burton (14 shared papers)Jacob Giehm Mikkelsen (12 shared papers)Pascal Poignard (4 shared papers)Eva G. Rakasz (4 shared papers)David I. Watkins (2 shared papers)David T. Evans (3 shared papers)Po-Ying Chan-Hui (1 shared paper)Kimberly L. Weisgrau (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Journal of Virology (3 papers)The Journal of Infectious Diseases (3 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS Pathogens (3 papers)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Brian Moldt
35 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 82
- Virology 1.0k
- Immunology 807
- Infectious Diseases 454
- Radiology, Nuclear Medicine and Imaging 434
- Epidemiology 552
Countries citing papers authored by Brian Moldt
This map shows the geographic impact of Brian Moldt'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 Moldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Moldt more than expected).
Fields of papers citing papers by Brian Moldt
This network shows the impact of papers produced by Brian Moldt. 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 Moldt. The network helps show where Brian Moldt may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Moldt, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 354 | |
| 2 | 2010 | 275 | |
| 3 | 2017 | 250 | |
| 4 | 2011 | 199 | |
| 5 | 2014 | 126 | |
| 6 | 2014 | 108 | |
| 7 | 2016 | 98 | |
| 8 | 2009 | 82 | |
| 9 | 2013 | 81 | |
| 10 | 2011 | 73 | |
| 11 | 2009 | 63 | |
| 12 | 2010 | 58 | |
| 13 | 2011 | 57 | |
| 14 | 2018 | 54 | |
| 15 | 2016 | 43 | |
| 16 | 2008 | 40 | |
| 17 | 2016 | 36 | |
| 18 | 2013 | 33 | |
| 19 | 2014 | 30 | |
| 20 | 2007 | 30 |
About Brian Moldt
Brian Moldt is a scholar working on Immunology, Molecular Biology, Virology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), CRISPR and Genetic Engineering (8 papers), RNA Interference and Gene Delivery (6 papers), Virus-based gene therapy research (6 papers), T-cell and B-cell Immunology (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Virology (1.0k citations), Immunology (807 citations), Infectious Diseases (454 citations), Radiology, Nuclear Medicine and Imaging (434 citations) and Epidemiology (552 citations). Brian Moldt has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Dennis R. Burton, Jacob Giehm Mikkelsen, Pascal Poignard, Eva G. Rakasz, David I. Watkins, David T. Evans, Po-Ying Chan-Hui, Kimberly L. Weisgrau, Kristine M. Swiderek and Shari M. Piaskowski. Their work appears in journals such as Molecular Therapy, Journal of Virology, The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences and PLoS Pathogens.
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.