Daniel Atar

616 citations
7 papers · 296 · 1 hit paper · h-index 6

Impact in

    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 5
    • Cancer Cells and Metastasis 1
    • CRISPR and Genetic Engineering 2
    • Viral Infectious Diseases and Gene Expression in Insects 1

Daniel Atar

7 papers receiving 289 citations

Daniel Atar's Hit Papers

CD19-Targeting CAR T Cells for Myositis and Interstitial Lung Disease Associated With Antisynthetase Syndrome 2023 · 146 citations
1460+1+2Years since publication4080120

Peers

Daniel Atar
Comparison fields: 5 of 36
  • Oncology 203
  • Immunology 113
  • Genetics 44
  • Genetics 14
  • Epidemiology 41
Replace Xuexiao Jin with:
Xuexiao Jin China
Chengfei Pu China
Taiki Isei Japan
CarolL Shields United States
Sam Loughlin United Kingdom
JerryA Shields United States
Nicholas A. Zumwalde United States
Mi Shao China
Ayako Demachi‐Okamura Japan
Kyung‐Ok Nam South Korea
Daniel Atar relative to Xuexiao Jin China Xuexiao Jin's profile →
Citations per field
00.5×1.7×
Xuexiao Jin · 1×
Citations per year

Countries citing papers authored by Daniel Atar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Atar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Atar, 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 Daniel Atar Line = papers co-authored together Daniel Atar links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
CD19-Targeting CAR T Cells for Myositis and Interstitial Lung Disease Associated With Antisynthetase Syndrome
Hit paper breakdown →
2023146
2 201970
3 202239
4 201917
5 202210
6 20249
7 20225

About Daniel Atar

Daniel Atar is a scholar working on Oncology, Molecular Biology, Immunology, Epidemiology and Neurology, having authored 7 papers that have together received 296 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Neuroblastoma Research and Treatments (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Nanowire Synthesis and Applications (1 paper), Cancer Cells and Metastasis (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Oncology (203 citations), Immunology (113 citations), Genetics (44 citations), Genetics (14 citations) and Epidemiology (41 citations). Daniel Atar has collaborated with scholars based in Germany, Australia and Latvia. Frequent co-authors include Christian Seitz, Antje Bornemann, Rebekka Schairer, Jörg Henes, Reinhild Klein, Ann‐Christin Pecher, Rupert Handgretinger, K. Lutz, Christoph Faul and Wolfgang Bethge. Their work appears in journals such as Science Translational Medicine, Biomedicines, OncoImmunology, International Journal of Molecular Sciences and JAMA.

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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