Susannah D. Barbee
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 5
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 1
- Oncology 3
- CAR-T cell therapy research 3
- Co-authors
- Adrian Hayday (4 shared papers)Julia M. Lewis (3 shared papers)Robert E. Tigelaar (3 shared papers)Michael Girardi (2 shared papers)Lynn M. Boyden (2 shared papers)Richard P. Lifton (2 shared papers)Anna Bas (2 shared papers)Scott Roberts (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular Cancer Therapeutics (1 paper)The Journal of Immunology (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Susannah D. Barbee
10 papers receiving 652 citations
Peers
Comparison fields: 5 of 57
- Immunology 579
- Dermatology 66
- Oncology 110
- Immunology and Allergy 17
- Rheumatology 37
Countries citing papers authored by Susannah D. Barbee
This map shows the geographic impact of Susannah D. Barbee'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 Susannah D. Barbee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susannah D. Barbee more than expected).
Fields of papers citing papers by Susannah D. Barbee
This network shows the impact of papers produced by Susannah D. Barbee. 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 Susannah D. Barbee. The network helps show where Susannah D. Barbee may publish in the future.
Co-authors
The 25 scholars most cited alongside Susannah D. Barbee, 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 | 2008 | 229 | |
| 2 | 2006 | 129 | |
| 3 | 2011 | 126 | |
| 4 | 1998 | 75 | |
| 5 | 2011 | 50 | |
| 6 | 2005 | 29 | |
| 7 | 2022 | 8 | |
| 8 | 2006 | 6 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 1 |
About Susannah D. Barbee
Susannah D. Barbee is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 10 papers that have together received 655 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HIV Research and Treatment (1 paper), Cell Adhesion Molecules Research (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (579 citations), Dermatology (66 citations), Oncology (110 citations), Immunology and Allergy (17 citations) and Rheumatology (37 citations). Susannah D. Barbee has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Adrian Hayday, Julia M. Lewis, Robert E. Tigelaar, Michael Girardi, Lynn M. Boyden, Richard P. Lifton, Anna Bas, Scott Roberts, Kathryn J. Moore and Takashi Wada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cancer Therapeutics, The Journal of Immunology, Nature Genetics and Journal of Clinical Oncology.
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.