Lisa M. Ebert
- Immunology top 2%
- Immunotherapy and Immune Responses 25
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 17
- Oncology top 5%
- CAR-T cell therapy research 13
- Chemokine receptors and signaling 5
- Cancer Immunotherapy and Biomarkers 4
- Genetics top 5%
- Glioma Diagnosis and Treatment 4
- Immunology and Allergy top 10%
- Cancer Research top 10%
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- vaccines and immunoinformatics approaches 8
- Co-authors
- Bernhard MoserPatrick SchaerliMichael P. BrownSimone MeuterWeisan ChenJonathan CebonTessa GargettShaun R. McColl
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Clinical & Translational Immunology (5 papers)Frontiers in Immunology (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Lisa M. Ebert
53 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Immunology 1.4k
- Oncology 950
- Genetics 174
- Immunology and Allergy 79
- Cancer Research 188
Countries citing papers authored by Lisa M. Ebert
This map shows the geographic impact of Lisa M. Ebert'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 Lisa M. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Ebert more than expected).
Fields of papers citing papers by Lisa M. Ebert
This network shows the impact of papers produced by Lisa M. Ebert. 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 Lisa M. Ebert. The network helps show where Lisa M. Ebert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa M. Ebert, 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 | 2024 | 8 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 72 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 24 | |
| 10 | 2020 | 21 | |
| 11 | 2017 | 14 | |
| 12 | 2012 | 4 | |
| 13 | 2012 | 51 | |
| 14 | 2008 | 152 | |
| 15 | 2005 | 118 | |
| 16 | 2004 | 165 | |
| 17 | 2004 | 226 | |
| 18 | 2002 | 68 | |
| 19 | 2001 | 35 | |
| 20 | 1981 | 1 |
About Lisa M. Ebert
Lisa M. Ebert is a scholar working on Immunology, Oncology and Genetics, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (25 papers), T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (17 papers), CAR-T cell therapy research (13 papers), vaccines and immunoinformatics approaches (8 papers), Chemokine receptors and signaling (5 papers), Glioma Diagnosis and Treatment (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (950 citations) and Genetics (174 citations). Lisa M. Ebert has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Bernhard Moser, Patrick Schaerli, Michael P. Brown, Simone Meuter, Weisan Chen, Jonathan Cebon, Tessa Gargett, Shaun R. McColl, Ian D. Davis and Katharina Willimann. Their work appears in journals such as Clinical & Translational Immunology, Frontiers in Immunology, The Journal of Immunology, Oncotarget and Journal for ImmunoTherapy of Cancer.
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.