Aviv Madar
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 3
- CRISPR and Genetic Engineering 2
- Gene expression and cancer classification 1
- Oncology 3
- CAR-T cell therapy research 3
- Co-authors
- Richard Bonneau (8 shared papers)Alex Greenfield (2 shared papers)Harry Ostrer (2 shared papers)Carl H. June (3 shared papers)Sònia Guedan (3 shared papers)Avery D. Posey (2 shared papers)Eric Vanden‐Eijnden (2 shared papers)Shannon E. McGettigan (2 shared papers)
- Journals
- PLoS ONE (3 papers)Circulation (1 paper)JAMA Cardiology (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Osteoarthritis and Cartilage (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Aviv Madar
16 papers receiving 1.3k citations
Aviv Madar's Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 423
- Immunology 240
- Hematology 124
- Developmental Neuroscience 40
- Genetics 97
Countries citing papers authored by Aviv Madar
This map shows the geographic impact of Aviv Madar'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 Aviv Madar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviv Madar more than expected).
Fields of papers citing papers by Aviv Madar
This network shows the impact of papers produced by Aviv Madar. 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 Aviv Madar. The network helps show where Aviv Madar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aviv Madar, 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 | 2014 | 279 | |
| 2 | TET2-Driven Clonal Hematopoiesis and Response to Canakinumab Hit paper breakdown → | 2022 | 235 |
| 3 | 2010 | 174 | |
| 4 | 2020 | 130 | |
| 5 | 2013 | 88 | |
| 6 | 2014 | 75 | |
| 7 | 2010 | 69 | |
| 8 | 2019 | 68 | |
| 9 | 2021 | 55 | |
| 10 | Abstract 15111: TET2-Driven Clonal Hematopoiesis Predicts Enhanced Response to Canakinumab in the CANTOS Trial: An Exploratory Analysis | 2018 | 32 |
| 11 | 2009 | 32 | |
| 12 | 2015 | 31 | |
| 13 | 2009 | 11 | |
| 14 | 2014 | 9 | |
| 15 | 2013 | 1 | |
| 16 | 2021 | 1 |
About Aviv Madar
Aviv Madar is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (3 papers), CRISPR and Genetic Engineering (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Oncology (423 citations), Immunology (240 citations), Hematology (124 citations), Developmental Neuroscience (40 citations) and Genetics (97 citations). Aviv Madar has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Richard Bonneau, Alex Greenfield, Harry Ostrer, Carl H. June, Sònia Guedan, Avery D. Posey, Eric Vanden‐Eijnden, Shannon E. McGettigan, Ji‐Hyun Lee and John Scholler. Their work appears in journals such as PLoS ONE, Circulation, JAMA Cardiology, IEEE Transactions on Visualization and Computer Graphics and Osteoarthritis and Cartilage.
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.