Ayelet Sivan
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
- Biological Psychiatry top 5%
Papers in
-
- Liver physiology and pathology 2
- Oncology 10
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 3
- Cancer Cells and Metastasis 2
- Co-authors
- Thomas F. GajewskiLeticia CorralesKeston Aquino-MichaelsYuk Man LeiMaria‐Luisa AlegreJason B. WilliamsNathaniel HubertZachary M. Earley
- Journals
- The FASEB Journal (1 paper)Advances in experimental medicine and biology (1 paper)Journal of Clinical Investigation (1 paper)Clinical Research in Cardiology (1 paper)International journal of cardiac imaging (1 paper)
- Partner nations
- IsraelUnited StatesPoland
In The Last Decade
Ayelet Sivan
17 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Oncology 1.8k
- Biological Psychiatry 122
- Immunology 825
- Biotechnology 277
- Infectious Diseases 528
Countries citing papers authored by Ayelet Sivan
This map shows the geographic impact of Ayelet Sivan'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 Ayelet Sivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayelet Sivan more than expected).
Fields of papers citing papers by Ayelet Sivan
This network shows the impact of papers produced by Ayelet Sivan. 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 Ayelet Sivan. The network helps show where Ayelet Sivan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayelet Sivan, 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 | 2022 | 5 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 25 | |
| 8 | 2020 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 12 | |
| 11 | 2017 | 218 | |
| 12 | 2016 | 80 | |
| 13 | 2016 | 67 | |
| 14 | 2016 | 176 | |
| 15 | Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy Hit paper breakdown → | 2015 | 2825 |
| 16 | 2014 | 2 | |
| 17 | 2014 | 2 |
About Ayelet Sivan
Ayelet Sivan is a scholar working on Hepatology, Oncology, Immunology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Liver physiology and pathology (2 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cancer Cells and Metastasis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Oncology (1.8k citations), Biological Psychiatry (122 citations), Immunology (825 citations), Biotechnology (277 citations) and Infectious Diseases (528 citations). Ayelet Sivan has collaborated with scholars based in Israel, United States and Poland. Frequent co-authors include Thomas F. Gajewski, Leticia Corrales, Keston Aquino-Michaels, Yuk Man Lei, Maria‐Luisa Alegre, Jason B. Williams, Nathaniel Hubert, Zachary M. Earley, Bana Jabrì and Eugene B. Chang. Their work appears in journals such as The FASEB Journal, Advances in experimental medicine and biology, Journal of Clinical Investigation, Clinical Research in Cardiology and International journal of cardiac imaging.
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.