Chamutal Bornstein
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Renal and related cancers 3
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 2
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Ido Amit (4 shared papers)Eyal David (4 shared papers)Alina Molchadsky (5 shared papers)Ran Brosh (5 shared papers)Naomi Goldfinger (5 shared papers)Rachel Sarig (5 shared papers)Varda Rotter (5 shared papers)Tomer‐Meir Salame (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Science (1 paper)FEBS Letters (1 paper)The Journal of Experimental Medicine (1 paper)Nature (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Chamutal Bornstein
10 papers receiving 980 citations
Chamutal Bornstein's Hit Papers
Peers
Comparison fields: 5 of 77
- Immunology 480
- Oncology 269
- Neurology 81
- Cancer Research 119
- Molecular Biology 456
Countries citing papers authored by Chamutal Bornstein
This map shows the geographic impact of Chamutal Bornstein'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 Chamutal Bornstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chamutal Bornstein more than expected).
Fields of papers citing papers by Chamutal Bornstein
This network shows the impact of papers produced by Chamutal Bornstein. 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 Chamutal Bornstein. The network helps show where Chamutal Bornstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Chamutal Bornstein, 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 | Coupled scRNA-Seq and Intracellular Protein Activity Reveal an Immunosuppressive Role of TREM2 in Cancer Hit paper breakdown → | 2020 | 309 |
| 2 | 2018 | 213 | |
| 3 | 2010 | 129 | |
| 4 | 2016 | 107 | |
| 5 | 2018 | 58 | |
| 6 | 2014 | 49 | |
| 7 | 2012 | 44 | |
| 8 | 2010 | 36 | |
| 9 | 2011 | 33 | |
| 10 | 2010 | 8 |
About Chamutal Bornstein
Chamutal Bornstein is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Urology, having authored 10 papers that have together received 986 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Renal and related cancers (3 papers), Pluripotent Stem Cells Research (3 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (2 papers), Immunotherapy and Immune Responses (2 papers), Epigenetics and DNA Methylation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (480 citations), Oncology (269 citations), Neurology (81 citations), Cancer Research (119 citations) and Molecular Biology (456 citations). Chamutal Bornstein has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ido Amit, Eyal David, Alina Molchadsky, Ran Brosh, Naomi Goldfinger, Rachel Sarig, Varda Rotter, Tomer‐Meir Salame, Hadas Keren‐Shaul and Assaf Weiner. Their work appears in journals such as The Journal of Cell Biology, Science, FEBS Letters, The Journal of Experimental Medicine and Nature.
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.