Jane E. Tanner
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Drug Transport and Resistance Mechanisms
Papers in ⓘ
-
- Cell death mechanisms and regulation 2
- Oncology 5
- CAR-T cell therapy research 4
- Co-authors
- Mark J. Smyth (6 shared papers)Yoshihiro Hayakawa (4 shared papers)Konrad Beyreuther (3 shared papers)Hideo Yagita∥ (2 shared papers)Colin L. Masters (3 shared papers)Geneviève Evin (3 shared papers)Thomas J. Sayers (2 shared papers)Naoko Seki (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)The Journal of Experimental Medicine (1 paper)Biochemistry (1 paper)Cancer Gene Therapy (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Jane E. Tanner
10 papers receiving 726 citations
Peers
Comparison fields: 5 of 75
- Immunology 277
- Oncology 271
- Physiology 204
- Neurology 50
- Clinical Biochemistry 37
Countries citing papers authored by Jane E. Tanner
This map shows the geographic impact of Jane E. Tanner'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 Jane E. Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane E. Tanner more than expected).
Fields of papers citing papers by Jane E. Tanner
This network shows the impact of papers produced by Jane E. Tanner. 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 Jane E. Tanner. The network helps show where Jane E. Tanner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane E. Tanner, 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 | 2004 | 165 | |
| 2 | Secretion of Alzheimer's disease Abeta amyloid peptide by activated human platelets. | 1998 | 132 |
| 3 | Tumor necrosis factor-related apoptosis-inducing ligand-mediated apoptosis is an important endogenous mechanism for resistance to liver metastases in murine renal cancer. | 2003 | 92 |
| 4 | 2004 | 89 | |
| 5 | 1999 | 68 | |
| 6 | 2004 | 65 | |
| 7 | 2004 | 50 | |
| 8 | 2004 | 38 | |
| 9 | 1998 | 26 | |
| 10 | 1998 | 9 |
About Jane E. Tanner
Jane E. Tanner is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Pharmacology, having authored 10 papers that have together received 734 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Immunotherapy and Immune Responses (2 papers), Cell death mechanisms and regulation (2 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (277 citations), Oncology (271 citations), Physiology (204 citations), Neurology (50 citations) and Clinical Biochemistry (37 citations). Jane E. Tanner has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Mark J. Smyth, Yoshihiro Hayakawa, Konrad Beyreuther, Hideo Yagita∥, Colin L. Masters, Geneviève Evin, Thomas J. Sayers, Naoko Seki, Scott Whyte and Jacob T. Jackson. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Biochemistry, Cancer Gene Therapy and Journal of Neurochemistry.
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.