Carl Kadie
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 25
- HIV Research and Treatment 25
- Immunology 18
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 5
- Co-authors
- David Heckerman (42 shared papers)Jennifer Listgarten (16 shared papers)Christoph Lippert (6 shared papers)Robert I Davidson (3 shared papers)Ying Liu (1 shared paper)Jonathan M. Carlson (14 shared papers)Eric Horvitz (3 shared papers)Bruce D. Walker (18 shared papers)
- Journals
- Journal of Virology (6 papers)Bioinformatics (3 papers)PLoS Computational Biology (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Carl Kadie
45 papers receiving 3.1k citations
Carl Kadie's Hit Papers
Peers
Comparison fields: 5 of 146
- Virology 1.2k
- Immunology 873
- Genetics 858
- Infectious Diseases 411
- Information Systems and Management 153
Countries citing papers authored by Carl Kadie
This map shows the geographic impact of Carl Kadie'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 Carl Kadie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Kadie more than expected).
Fields of papers citing papers by Carl Kadie
This network shows the impact of papers produced by Carl Kadie. 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 Carl Kadie. The network helps show where Carl Kadie may publish in the future.
Co-authors
The 25 scholars most cited alongside Carl Kadie, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FaST linear mixed models for genome-wide association studies Hit paper breakdown → | 2011 | 816 |
| 2 | 2011 | 265 | |
| 3 | 2003 | 198 | |
| 4 | 2007 | 182 | |
| 5 | 2007 | 129 | |
| 6 | 2010 | 123 | |
| 7 | 2008 | 114 | |
| 8 | 2010 | 93 | |
| 9 | 2008 | 90 | |
| 10 | Coordinate: probabilistic forecasting of presence and availability | 2002 | 87 |
| 11 | 2010 | 86 | |
| 12 | 2012 | 84 | |
| 13 | 2006 | 70 | |
| 14 | 2010 | 64 | |
| 15 | 2014 | 57 | |
| 16 | 2012 | 56 | |
| 17 | 2008 | 55 | |
| 18 | 2013 | 53 | |
| 19 | 2007 | 53 | |
| 20 | 2010 | 50 |
About Carl Kadie
Carl Kadie is a scholar working on Virology, Immunology, Molecular Biology, Genetics and Artificial Intelligence, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), T-cell and B-cell Immunology (13 papers), vaccines and immunoinformatics approaches (13 papers), Immune Cell Function and Interaction (8 papers), Genetic Associations and Epidemiology (7 papers), Immunotherapy and Immune Responses (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Virology (1.2k citations), Immunology (873 citations), Genetics (858 citations), Infectious Diseases (411 citations) and Information Systems and Management (153 citations). Carl Kadie has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David Heckerman, Jennifer Listgarten, Christoph Lippert, Robert I Davidson, Ying Liu, Jonathan M. Carlson, Eric Horvitz, Bruce D. Walker, Tim Paek and Zabrina L. Brumme. Their work appears in journals such as Journal of Virology, Bioinformatics, PLoS Computational Biology, Scientific Reports and PLoS ONE.
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.