Maxim Markovic
Impact in
- Immunology top 2%
- Phagocytosis and Immune Regulation
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Phagocytosis and Immune Regulation 4
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Immune cells in cancer 2
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- Cell Image Analysis Techniques 1
- Co-authors
- Irving L. Weissman (4 shared papers)Amira A. Barkal (2 shared papers)Layla J. Barkal (2 shared papers)Balyn W. Zaro (1 shared paper)Oliver Dorigo (1 shared paper)Jason Hatakeyama (1 shared paper)Venkatesh Krishnan (1 shared paper)Rachel E. Brewer (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Immunology (1 paper)Nature (1 paper)Cancer Cell (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Maxim Markovic
6 papers receiving 1.7k citations
Maxim Markovic's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 1.2k
- Oncology 461
- Cancer Research 127
- Molecular Biology 544
- Physiology 31
Countries citing papers authored by Maxim Markovic
This map shows the geographic impact of Maxim Markovic'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 Maxim Markovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Markovic more than expected).
Fields of papers citing papers by Maxim Markovic
This network shows the impact of papers produced by Maxim Markovic. 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 Maxim Markovic. The network helps show where Maxim Markovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxim Markovic, 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 | CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy Hit paper breakdown → | 2019 | 1049 |
| 2 | Engagement of MHC class I by the inhibitory receptor LILRB1 suppresses macrophages and is a target of cancer immunotherapy Hit paper breakdown → | 2017 | 448 |
| 3 | 2018 | 134 | |
| 4 | 2019 | 45 | |
| 5 | 2021 | 32 | |
| 6 | 2022 | 20 |
About Maxim Markovic
Maxim Markovic is a scholar working on Immunology, Biophysics, Media Technology, Cancer Research and Oncology, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Immune cells in cancer (2 papers), Cell Image Analysis Techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Immunology (1.2k citations), Oncology (461 citations), Cancer Research (127 citations), Molecular Biology (544 citations) and Physiology (31 citations). Maxim Markovic has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Irving L. Weissman, Amira A. Barkal, Layla J. Barkal, Balyn W. Zaro, Oliver Dorigo, Jason Hatakeyama, Venkatesh Krishnan, Rachel E. Brewer, Mark Alec Kowarsky and Kevin Shuolong Kao. Their work appears in journals such as Nature Communications, Nature Immunology, Nature, Cancer Cell and Frontiers in Immunology.
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.