Agnes Gardner
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Bone health and treatments
Papers in
-
- Cell death mechanisms and regulation 3
- RNA Interference and Gene Delivery 2
- Oncology 6
- CAR-T cell therapy research 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Alan Lichtenstein (10 shared papers)Yiping Tu (6 shared papers)Fenghao Xu (4 shared papers)Catherine Fady (6 shared papers)F Jacoby (1 shared paper)Dianne C. Duffey (1 shared paper)Ana M. Aparicio (1 shared paper)James R. Berenson (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Stem Cells Translational Medicine (2 papers)Cancer Immunology Immunotherapy (2 papers)Cell Death and Differentiation (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Agnes Gardner
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Hematology 290
- Oncology 398
- Virology 63
- Molecular Biology 677
- Immunology 130
Countries citing papers authored by Agnes Gardner
This map shows the geographic impact of Agnes Gardner'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 Agnes Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnes Gardner more than expected).
Fields of papers citing papers by Agnes Gardner
This network shows the impact of papers produced by Agnes Gardner. 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 Agnes Gardner. The network helps show where Agnes Gardner may publish in the future.
Co-authors
The 25 scholars most cited alongside Agnes Gardner, 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 | 1997 | 319 | |
| 2 | 1998 | 218 | |
| 3 | The phosphatidylinositol 3-kinase/AKT kinase pathway in multiple myeloma plasma cells: roles in cytokine-dependent survival and proliferative responses. | 2000 | 196 |
| 4 | 2013 | 157 | |
| 5 | 1998 | 94 | |
| 6 | 1997 | 90 | |
| 7 | 1995 | 47 | |
| 8 | 2014 | 21 | |
| 9 | 1997 | 17 | |
| 10 | 1992 | 10 | |
| 11 | 1993 | 10 | |
| 12 | 2012 | 5 | |
| 13 | 2014 | 3 | |
| 14 | 1993 | 3 |
About Agnes Gardner
Agnes Gardner is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Virology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cell death mechanisms and regulation (3 papers), Multiple Myeloma Research and Treatments (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), RNA Interference and Gene Delivery (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hematology (290 citations), Oncology (398 citations), Virology (63 citations), Molecular Biology (677 citations) and Immunology (130 citations). Agnes Gardner has collaborated with scholars based in United States and Australia. Frequent co-authors include Alan Lichtenstein, Yiping Tu, Fenghao Xu, Catherine Fady, F Jacoby, Dianne C. Duffey, Ana M. Aparicio, James R. Berenson, Diane Prager and Patrick Michl. Their work appears in journals such as Molecular Therapy, Stem Cells Translational Medicine, Cancer Immunology Immunotherapy, Cell Death and Differentiation and British Journal of Haematology.
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.