Noa Avisar

627 citations
20 papers · 517 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Cancer therapeutics and mechanisms 2
    • Retinal Development and Disorders 2
    • Neutropenia and Cancer Infections 7

Noa Avisar

19 papers receiving 493 citations

Peers

Noa Avisar
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 158
  • Developmental Neuroscience 26
  • Behavioral Neuroscience 18
  • Neurology 35
  • Health Informatics 6
Replace Hongjiao Xu with:
Hongjiao Xu China
Manveen K. Gupta United States
Roberta Marolda Italy
Marlène Daloyau France
Balasubramaniam Annamalai United States
Nsikan Akpan United States
Daniela Gonçalves Brazil
Edwin Vázquez‐Rosa United States
Stepan Aleshin Germany
Ariana Bruzzone Argentina
Noa Avisar relative to Hongjiao Xu China Hongjiao Xu's profile →
Citations per field
00.5×1.5×2×
Hongjiao Xu · 1×
Citations per year

Countries citing papers authored by Noa Avisar

Since Specialization
Citations

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

Fields of papers citing papers by Noa Avisar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1997124
2 200490
3 199964
4 200155
5 202342
6 199928
7 201524
8 200923
9 201322
10 201511
11 202011
12 19975
13 20134
14 20124
15 20154
16 20132
17 20151
18 20231
19 20011
20 20111

About Noa Avisar

Noa Avisar is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Epidemiology and Genetics, having authored 20 papers that have together received 517 indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Cancer therapeutics and mechanisms (2 papers), Retinal Development and Disorders (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (158 citations), Developmental Neuroscience (26 citations), Behavioral Neuroscience (18 citations), Neurology (35 citations) and Health Informatics (6 citations). Noa Avisar has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Lily Vardimon, Iftach Shaked, Nili Avidan, Iris Ben‐Dror, Silvia Noiman, Oren M. Becker, Zvi Naor, Maya Topf, Sharon Shacham and Yael Marantz. Their work appears in journals such as Journal of Clinical Oncology, The Oncologist, Blood, Journal of the American College of Cardiology and Medicinal Research Reviews.

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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