Daphna Levy

1.2k citations
7 papers · 884 · h-index 7

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • CAR-T cell therapy research 5
    • Peptidase Inhibition and Analysis 1
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 1

Daphna Levy

7 papers receiving 870 citations

Peers

Daphna Levy
Comparison fields: 5 of 45
  • Immunology 648
  • Oncology 774
  • Genetics 164
  • Biotechnology 31
  • Cancer Research 51
Replace Xuexiang Du with:
Xuexiang Du United States
Laura Bies Netherlands
Anna I. Hooijkaas Netherlands
Liat Hershkovitz Israel
Dov Zippel Israel
Chiara Casati Italy
Nikolaos Zacharakis United States
Alberto Comes Italy
Weiqing Jing United States
Stephanie Silveria United States
Daphna Levy relative to Xuexiang Du United States Xuexiang Du's profile →
Citations per field
00.5×4.7×
Xuexiang Du · 1×
Citations per year

Countries citing papers authored by Daphna Levy

Since Specialization
Citations

This map shows the geographic impact of Daphna Levy'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 Daphna Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphna Levy more than expected).

Fields of papers citing papers by Daphna Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daphna Levy. 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 Daphna Levy. The network helps show where Daphna Levy may publish in the future.

Co-authors

The 25 scholars most cited alongside Daphna Levy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daphna Levy Line = papers co-authored together Daphna Levy links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010352
2 2013294
3 2011124
4 201339
5 201239
6 201220
7 201216

About Daphna Levy

Daphna Levy is a scholar working on Oncology, Immunology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 884 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (2 papers), MicroRNA in disease regulation (1 paper), Cancer Mechanisms and Therapy (1 paper), Peptidase Inhibition and Analysis (1 paper), Cancer-related molecular mechanisms research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (648 citations), Oncology (774 citations), Genetics (164 citations), Biotechnology (31 citations) and Cancer Research (51 citations). Daphna Levy has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Jacob Schachter, Gal Markel, Michal J. Besser, Orit Itzhaki, Ronnie Shapira‐Frommer, Adva Kubi, Avraham J. Treves, Bruria Shalmon, Alon Ben‐Nun and Avichai Shimoni. Their work appears in journals such as Clinical Cancer Research, Biomarkers, Cancer Immunology Immunotherapy, PLoS ONE and Journal of Immunotherapy.

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.

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