Robin Bartolini
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
- T-cell and B-cell Immunology
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- Chemokine receptors and signaling
Papers in
- Oncology 10
- Chemokine receptors and signaling 7
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 1
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Ilja Střı́ž (2 shared papers)Zuzana Střížová (2 shared papers)Lily Koumbas Foley (2 shared papers)Eva Cecrdlova (1 shared paper)René Novysedlák (1 shared paper)Iva Benešová (1 shared paper)Gerard J. Graham (7 shared papers)Laura Medina‐Ruiz (6 shared papers)
- Journals
- The Journal of Immunology (1 paper)PLoS Biology (1 paper)Translational Oncology (1 paper)ImmunoHorizons (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United KingdomCzechiaSwitzerland
In The Last Decade
Robin Bartolini
9 papers receiving 429 citations
Robin Bartolini's Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 223
- Oncology 90
- Neurology 27
- Biological Psychiatry 5
- Rehabilitation 12
Countries citing papers authored by Robin Bartolini
This map shows the geographic impact of Robin Bartolini'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 Robin Bartolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Bartolini more than expected).
Fields of papers citing papers by Robin Bartolini
This network shows the impact of papers produced by Robin Bartolini. 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 Robin Bartolini. The network helps show where Robin Bartolini may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Bartolini, 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 | M1/M2 macrophages and their overlaps – myth or reality? Hit paper breakdown → | 2023 | 299 |
| 2 | 2019 | 89 | |
| 3 | 2019 | 15 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Robin Bartolini
Robin Bartolini is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 10 papers that have together received 432 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (223 citations), Oncology (90 citations), Neurology (27 citations), Biological Psychiatry (5 citations) and Rehabilitation (12 citations). Robin Bartolini has collaborated with scholars based in United Kingdom, Czechia and Switzerland. Frequent co-authors include Ilja Střı́ž, Zuzana Střížová, Lily Koumbas Foley, Eva Cecrdlova, René Novysedlák, Iva Benešová, Gerard J. Graham, Laura Medina‐Ruiz, Catherine E. Hughes and Kit Ming Lee. Their work appears in journals such as The Journal of Immunology, PLoS Biology, Translational Oncology, ImmunoHorizons and Journal of Leukocyte Biology.
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.