Marjorie Hubbard
- Immunology top 10%
- Virology top 5%
- Infectious Diseases top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Janet K.A. NicholsonBonnie M. JonesJ. Steven McDougalMelanie S. KennedyRichard L. HengelRobert C. HolmanThomas J. SpiraTammy Mui
- Topics
- HIV Research and Treatment (9 papers)Immune Cell Function and Interaction (7 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Partner nations
- United StatesThailandAustralia
In The Last Decade
Marjorie Hubbard
25 papers receiving 620 citations
Peers
Comparison fields: 5 of 95
- Immunology 231
- Virology 210
- Infectious Diseases 142
- Epidemiology 138
- Molecular Biology 92
Countries citing papers authored by Marjorie Hubbard
This map shows the geographic impact of Marjorie Hubbard'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 Marjorie Hubbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjorie Hubbard more than expected).
Fields of papers citing papers by Marjorie Hubbard
This network shows the impact of papers produced by Marjorie Hubbard. 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 Marjorie Hubbard. The network helps show where Marjorie Hubbard may publish in the future.
Co-authorship network of co-authors of Marjorie Hubbard
This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie Hubbard. A scholar is included among the top collaborators of Marjorie Hubbard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marjorie Hubbard. Marjorie Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 50 | |
| 3 | 66 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 39 | |
| 8 | 25 | |
| 9 | 5 | |
| 10 | 77 | |
| 11 | 6 | |
| 12 | 59 | |
| 13 | 12 | |
| 14 | 29 | |
| 15 | Relation of Antibody Specificity, Titer, and Isotype to Clinical Status, Severity of Immunodeficiency, and Disease Progression | 6 |
| 16 | 4 | |
| 17 | Immunoassay for IgG rheumatoid factor with a murine monoclonal anti-Fd antibody. | 7 |
| 18 | 27 | |
| 19 | Antiserums for immunofluorescent enumeration of human T lymphocytes utilizing fluoresceinated staphylococcal protein A. | 5 |
| 20 | 12 |
About Marjorie Hubbard
Marjorie Hubbard is a scholar working on Virology, Immunology and Infectious Diseases, having authored 25 papers that have together received 647 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Virology (210 citations), Immunology (231 citations) and Infectious Diseases (142 citations). Marjorie Hubbard has collaborated with scholars based in United States, Thailand and Australia. Frequent co-authors include Janet K.A. Nicholson, Bonnie M. Jones, J. Steven McDougal, Melanie S. Kennedy, Richard L. Hengel, Robert C. Holman, Thomas J. Spira, Tammy Mui, Dan J. Stein and Thomas N. Denny. Their work appears in journals such as The Journal of Immunology, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.