Daniel Atar

575 citations
7 papers · 265 · 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 6
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 1

Daniel Atar

7 papers receiving 259 citations

Daniel Atar's Hit Papers

CD19-Targeting CAR T Cells for Myositis and Interstitial Lung Disease Associated With Antisynthetase Syndrome 2023 · 128 citations
1280+1+2Years since publication4080120

Peers

Daniel Atar
Comparison fields: 5 of 38
  • Oncology 198
  • Immunology 121
  • Genetics 45
  • Genetics 14
  • Epidemiology 38
Replace Chengfei Pu with:
Chengfei Pu China
Matteo Doglio Italy
Timothy Voorhees United States
Domenico Supino Italy
Kyung‐Ok Nam South Korea
Annika Håkansson Sweden
Nicholas A. Zumwalde United States
Sam Loughlin United Kingdom
Shengkang Huang China
Amanda M. Schmidt United States
Daniel Atar relative to Chengfei Pu China Chengfei Pu's profile →
Citations per field
00.5×4.8×
Chengfei Pu · 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 →
2023128
2 201964
3 202237
4 201916
5 202210
6 20246
7 20224

About Daniel Atar

Daniel Atar is a scholar working on Oncology, Immunology, Molecular Biology, Epidemiology and Neurology, having authored 7 papers that have together received 265 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), T-cell and B-cell Immunology (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Inflammatory Myopathies and Dermatomyositis (1 paper). The work is most often cited by research in Oncology (198 citations), Immunology (121 citations), Genetics (45 citations), Genetics (14 citations) and Epidemiology (38 citations). Daniel Atar has collaborated with scholars based in Germany, Australia and Latvia. Frequent co-authors include Christian Seitz, Rupert Handgretinger, Rebekka Schairer, Patrick Schlegel, Reinhild Klein, Claudia Lengerke, Luca Hensen, Marius Horger, Antje Bornemann and Ann‐Christin Pecher. Their work appears in journals such as JAMA, Science Translational Medicine, International Journal of Molecular Sciences, Biomedicines and Transplantation and Cellular Therapy.

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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