Michal Lotem
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 39
- CAR-T cell therapy research 37
- Cutaneous Melanoma Detection and Management 14
- Immunology top 1%
- Immunotherapy and Immune Responses 39
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 12
- Molecular Biology top 5%
- Melanoma and MAPK Pathways 24
- Ophthalmology top 2%
- Cancer Research top 10%
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- Virus-based gene therapy research 7
- Co-authors
- Jacob SchachterAntoni RibasGeorgina V. LongNageatte IbrahimCatriona M. McNeilAdil DaudOmid HamidAna Arance
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Nature Medicine (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Michal Lotem
102 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 3.4k
- Immunology 1.8k
- Molecular Biology 1.9k
- Ophthalmology 218
- Cancer Research 308
Countries citing papers authored by Michal Lotem
This map shows the geographic impact of Michal Lotem'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 Michal Lotem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Lotem more than expected).
Fields of papers citing papers by Michal Lotem
This network shows the impact of papers produced by Michal Lotem. 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 Michal Lotem. The network helps show where Michal Lotem may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michal Lotem, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 38 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 63 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 72 | |
| 10 | 2020 | 111 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 219 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 12 | |
| 15 | 2016 | 1 | |
| 16 | 2012 | 27 | |
| 17 | 2009 | 80 | |
| 18 | 2007 | 16 | |
| 19 | Post Hepatectomy Survival of Metastatic Uveal Melanoma Patients | 2006 | 1 |
| 20 | 2003 | 9 |
About Michal Lotem
Michal Lotem is a scholar working on Oncology, Immunology and Ophthalmology, having authored 106 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (39 papers), Cancer Immunotherapy and Biomarkers (39 papers), CAR-T cell therapy research (37 papers), Melanoma and MAPK Pathways (24 papers), Cutaneous Melanoma Detection and Management (14 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (12 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Oncology (3.4k citations), Immunology (1.8k citations) and Molecular Biology (1.9k citations). Michal Lotem has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Jacob Schachter, Antoni Ribas, Georgina V. Long, Nageatte Ibrahim, Catriona M. McNeil, Adil Daud, Omid Hamid, Ana Arance, Matteo S. Carlino and Caroline Robert. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Medicine.
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.