Joanna Stanson
- Immunology top 5%
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 2
-
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 2
-
- HIV Research and Treatment 2
-
- Virus-based gene therapy research 2
- Co-authors
- Theresa L. WhitesideDouglas D. TaylorÇiçek Gerçel-TaylorKaren S. LyonsSoldano FerroneMichael R. ShurinTorsten E. ReichertAndreas E. Albers
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Blood (1 paper)The Journal of Immunology (2 papers)
- Partner nations
- United StatesAustriaItaly
In The Last Decade
Joanna Stanson
20 papers receiving 699 citations
Peers
Comparison fields: 5 of 83
- Immunology 436
- Cancer Research 156
- Oncology 205
- Virology 24
- Molecular Biology 339
Countries citing papers authored by Joanna Stanson
This map shows the geographic impact of Joanna Stanson'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 Joanna Stanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Stanson more than expected).
Fields of papers citing papers by Joanna Stanson
This network shows the impact of papers produced by Joanna Stanson. 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 Joanna Stanson. The network helps show where Joanna Stanson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joanna Stanson, 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 | 2016 | 1 | |
| 2 | 2011 | 14 | |
| 3 | 2010 | 15 | |
| 4 | 2008 | 47 | |
| 5 | 2008 | 27 | |
| 6 | 2007 | 9 | |
| 7 | 2006 | 16 | |
| 8 | 2006 | 28 | |
| 9 | 2004 | 70 | |
| 10 | P53(110-124)-specific human CD4+ T-helper cells enhance in vitro generation and antitumor function of tumor-reactive CD8+ T cells. | 2003 | 57 |
| 11 | T-cell apoptosis and suppression of T-cell receptor/CD3-zeta by Fas ligand-containing membrane vesicles shed from ovarian tumors. | 2003 | 214 |
| 12 | 2002 | 20 | |
| 13 | 2001 | 47 | |
| 14 | 2000 | 15 | |
| 15 | 2000 | 29 | |
| 16 | 1999 | 10 | |
| 17 | 1998 | 18 | |
| 18 | 1998 | 7 | |
| 19 | 1998 | 28 | |
| 20 | 1995 | 43 |
About Joanna Stanson
Joanna Stanson is a scholar working on Immunology, Virology and Oncology, having authored 20 papers that have together received 715 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers), HIV Research and Treatment (2 papers), Virus-based gene therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (436 citations), Cancer Research (156 citations) and Oncology (205 citations). Joanna Stanson has collaborated with scholars based in United States, Austria and Italy. Frequent co-authors include Theresa L. Whiteside, Douglas D. Taylor, Çiçek Gerçel-Taylor, Karen S. Lyons, Soldano Ferrone, Michael R. Shurin, Torsten E. Reichert, Andreas E. Albers, T L Whiteside and David Bender. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.