Liza B. John
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 19
- Immune Cell Function and Interaction 12
- Immunotherapy and Immune Responses 9
- T-cell and B-cell Immunology 4
- Oncology 19
- CAR-T cell therapy research 14
- Cancer Immunotherapy and Biomarkers 9
- Cancer Cells and Metastasis 2
- Co-authors
- Phillip K. DarcyMichael H. KershawChristel DevaudPaul A. BeavisMark J. SmythAlister C. WardMelvyn T. ChowConnie P.M. Duong
- Journals
- OncoImmunology (5 papers)Cancer Immunology Research (3 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Molecular Therapy (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Liza B. John
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Physiology 396
- Oncology 1.7k
- Immunology 1.2k
- Genetics 399
- Molecular Biology 612
Countries citing papers authored by Liza B. John
This map shows the geographic impact of Liza B. John'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 Liza B. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liza B. John more than expected).
Fields of papers citing papers by Liza B. John
This network shows the impact of papers produced by Liza B. John. 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 Liza B. John. The network helps show where Liza B. John may publish in the future.
Co-authors
The 25 scholars most cited alongside Liza B. John, 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 | 2018 | 51 | |
| 2 | 2017 | 63 | |
| 3 | 2017 | 259 | |
| 4 | 2016 | 0 | |
| 5 | 2015 | 270 | |
| 6 | 2015 | 8 | |
| 7 | 2014 | 2 | |
| 8 | 2014 | 6 | |
| 9 | 2014 | 32 | |
| 10 | Anti-PD-1 Antibody Therapy Potently Enhances the Eradication of Established Tumors By Gene-Modified T Cells Hit paper breakdown → | 2013 | 571 |
| 11 | 2013 | 172 | |
| 12 | 2013 | 83 | |
| 13 | 2013 | 98 | |
| 14 | 2013 | 114 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 46 | |
| 17 | 2012 | 92 | |
| 18 | 2012 | 8 | |
| 19 | 2011 | 6 | |
| 20 | 2009 | 20 |
About Liza B. John
Liza B. John is a scholar working on Immunology, Oncology, Physiology, Genetics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Immune Cell Function and Interaction (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (4 papers), Nanowire Synthesis and Applications (3 papers), Cancer Cells and Metastasis (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (396 citations), Oncology (1.7k citations), Immunology (1.2k citations), Genetics (399 citations) and Molecular Biology (612 citations). Liza B. John has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Phillip K. Darcy, Michael H. Kershaw, Christel Devaud, Paul A. Beavis, Mark J. Smyth, Alister C. Ward, Melvyn T. Chow, Connie P.M. Duong, Carmen S. Yong and Jennifer A. Westwood. Their work appears in journals such as OncoImmunology, Cancer Immunology Research, PLoS ONE, Cancer Research and Molecular Therapy.
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.