Danielle Karo‐Atar

1.1k citations
24 papers · 714 · h-index 16

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • IL-33, ST2, and ILC Pathways 12
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 3
    • Asthma and respiratory diseases 8

Danielle Karo‐Atar

24 papers receiving 710 citations

Peers

Danielle Karo‐Atar
Comparison fields: 5 of 75
  • Immunology 451
  • Immunology and Allergy 58
  • Rheumatology 122
  • Dermatology 61
  • Physiology 168
Replace King‐Hung Ko with:
King‐Hung Ko Hong Kong
Kota Kokubo Japan
Alfred D. Doyle United States
Ljubov Simson Australia
Jill Ford United States
Melanie D. Leech United Kingdom
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Jan D. Haas Germany
Kia Joo Puan Singapore
Rebecca A. Shilling United States
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Karo‐Atar

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Karo‐Atar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019125
2 201685
3 201550
4 201348
5 202046
6 201842
7 201537
8 201235
9 201433
10 201730
11 201328
12 201226
13 201626
14 201425
15 202217
16 202416
17 202013
18 202011
19 20169
20 20235

About Danielle Karo‐Atar

Danielle Karo‐Atar is a scholar working on Immunology, Physiology, Surgery, Molecular Biology and Rheumatology, having authored 24 papers that have together received 714 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (12 papers), Immune Cell Function and Interaction (11 papers), Asthma and respiratory diseases (8 papers), Eosinophilic Esophagitis (4 papers), T-cell and B-cell Immunology (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Immunology (451 citations), Immunology and Allergy (58 citations), Rheumatology (122 citations), Dermatology (61 citations) and Physiology (168 citations). Danielle Karo‐Atar has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Ariel Munitz, Hadar Reichman, Michal Itan, Perri Rozenberg, Marc E. Rothenberg, Itai Benhar, Metsada Pasmanik‐Chor, Chen Varol, Fred D. Finkelman and Udi Qimron. Their work appears in journals such as Mucosal Immunology, The Journal of Experimental Medicine, American Journal of Respiratory Cell and Molecular Biology, Frontiers in Immunology and Nature.

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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