Noffar Bar

2.4k citations
31 papers · 771 · h-index 9

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 7
    • Cancer Treatment and Pharmacology 4
    • Cancer Immunotherapy and Biomarkers 3
    • Multiple Myeloma Research and Treatments 8

Noffar Bar

27 papers receiving 767 citations

Peers

Noffar Bar
Comparison fields: 5 of 64
  • Oncology 463
  • Immunology 339
  • Hematology 156
  • Behavioral Neuroscience 38
  • Genetics 67
Replace Sydney Dubois with:
Sydney Dubois France
Caroline Pabst Germany
Yawen Wang China
Duncan M. Gascoyne United Kingdom
Alain H. Rook United States
Valeria Quarona Italy
Rosita Winkler Belgium
Xiujing Gu United States
J Schmidt Germany
T. Arbizu Spain
Noffar Bar relative to Sydney Dubois France Sydney Dubois's profile →
Citations per field
00.5×3.1×
Sydney Dubois · 1×
Citations per year

Countries citing papers authored by Noffar Bar

Since Specialization
Citations

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

Fields of papers citing papers by Noffar Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018296
2 2019117
3 2016111
4 200351
5 200335
6 201734
7 202032
8 202128
9 200318
10 20067
11 20216
12 20195
13 20235
14 20194
15 20234
16 20233
17 20172
18 20212
19 20212
20 20202

About Noffar Bar

Noffar Bar is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Genetics, having authored 31 papers that have together received 771 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers), Cancer Treatment and Pharmacology (4 papers), Neuroendocrine regulation and behavior (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Stress Responses and Cortisol (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Oncology (463 citations), Immunology (339 citations), Hematology (156 citations), Behavioral Neuroscience (38 citations) and Genetics (67 citations). Noffar Bar has collaborated with scholars based in United States, Czechia and Hungary. Frequent co-authors include Kavita M. Dhodapkar, Madhav V. Dhodapkar, Jithendra Kini Bailur, Rituparna Das, Antonella Bacchiocchi, Ruth Halaban, Mario Sznol, Harriet M. Kluger, Romana Šlamberová and Ilona Vathy. Their work appears in journals such as Blood, Journal of Clinical Oncology, JCI Insight, Molecular Genetics and Metabolism and International Journal of Developmental Neuroscience.

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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