Blake Wood
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
-
- HIV/AIDS drug development and treatment 8
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Steve Self (4 shared papers)Xuesong Yu (4 shared papers)David C. Montefiori (5 shared papers)Michael S. Seaman (4 shared papers)John R. Mascola (3 shared papers)Leonidas Stamatatos (2 shared papers)George Sellhorn (2 shared papers)Spyros A. Kalams (2 shared papers)
- Journals
- Journal of Virology (5 papers)Retrovirology (2 papers)Journal of Immunological Methods (1 paper)PLoS ONE (1 paper)Plant Pathology (1 paper)
- Partner nations
- United StatesGermanyMongolia
In The Last Decade
Blake Wood
11 papers receiving 1.4k citations
Blake Wood's Hit Papers
Peers
Comparison fields: 5 of 54
- Virology 1.3k
- Immunology 773
- Infectious Diseases 521
- Radiology, Nuclear Medicine and Imaging 322
- Hepatology 74
Countries citing papers authored by Blake Wood
This map shows the geographic impact of Blake Wood'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 Blake Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Wood more than expected).
Fields of papers citing papers by Blake Wood
This network shows the impact of papers produced by Blake Wood. 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 Blake Wood. The network helps show where Blake Wood may publish in the future.
Co-authors
The 25 scholars most cited alongside Blake Wood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Tiered Categorization of a Diverse Panel of HIV-1 Env Pseudoviruses for Assessment of Neutralizing Antibodies Hit paper breakdown → | 2009 | 446 |
| 2 | 2008 | 402 | |
| 3 | 2008 | 278 | |
| 4 | 2009 | 134 | |
| 5 | 2010 | 92 | |
| 6 | 2011 | 50 | |
| 7 | 2015 | 29 | |
| 8 | 2011 | 10 | |
| 9 | 2009 | 4 | |
| 10 | 2009 | 2 | |
| 11 | 2009 | 1 |
About Blake Wood
Blake Wood is a scholar working on Infectious Diseases, Virology, Immunology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (8 papers), Hepatitis C virus research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Blood groups and transfusion (1 paper) and Banana Cultivation and Research (1 paper). The work is most often cited by research in Virology (1.3k citations), Immunology (773 citations), Infectious Diseases (521 citations), Radiology, Nuclear Medicine and Imaging (322 citations) and Hepatology (74 citations). Blake Wood has collaborated with scholars based in United States, Germany and Mongolia. Frequent co-authors include Steve Self, Xuesong Yu, David C. Montefiori, Michael S. Seaman, John R. Mascola, Leonidas Stamatatos, George Sellhorn, Spyros A. Kalams, Natalie Hawkins and Jakob Armann. Their work appears in journals such as Journal of Virology, Retrovirology, Journal of Immunological Methods, PLoS ONE and Plant Pathology.
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.