Jad Kanbar

5.2k citations
6 papers · 518 · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Single-cell and spatial transcriptomics 3
    • Genomics and Phylogenetic Studies 2
    • Bioinformatics and Genomic Networks 1
    • Glycosylation and Glycoproteins Research 1
    • Protist diversity and phylogeny 1
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2

Jad Kanbar

6 papers receiving 514 citations

Peers

Jad Kanbar
Comparison fields: 5 of 67
  • Cancer Research 130
  • Immunology 145
  • Molecular Biology 317
  • Biophysics 16
  • Genetics 76
Replace Ismaël Padioleau with:
Ismaël Padioleau France
Andrew J. C. Russell United Kingdom
Dace Pjanova Latvia
Xiaolian Cai China
Marcus R. Breese United States
Krishna Mohan Parsi United States
Elena Montauti United States
Polly E. Mattila United States
Zhaoqing Ba United States
Brandon J. Lamarche United States
Jad Kanbar relative to Ismaël Padioleau France Ismaël Padioleau's profile →
Citations per field
00.5×3.2×
Ismaël Padioleau · 1×
Citations per year

Countries citing papers authored by Jad Kanbar

Since Specialization
Citations

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

Fields of papers citing papers by Jad Kanbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2014218
2 2020135
3 2017107
4 202225
5 201517
6 201516

About Jad Kanbar

Jad Kanbar is a scholar working on Molecular Biology, Immunology, Ecology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 518 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), T-cell and B-cell Immunology (2 papers), Genomics and Phylogenetic Studies (2 papers), Immune Cell Function and Interaction (2 papers), Bioinformatics and Genomic Networks (1 paper), Cancer-related molecular mechanisms research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Cancer Research (130 citations), Immunology (145 citations), Molecular Biology (317 citations), Biophysics (16 citations) and Genetics (76 citations). Jad Kanbar has collaborated with scholars based in United States and China. Frequent co-authors include Stephen R. Quake, Iwijn De Vlaminck, Jianbin Wang, Charles Gawad, Tiffani Tysl, John T. Chang, Matthew Tsai, Christella E. Widjaja, Wendy Huang and G Yeo. Their work appears in journals such as PLoS ONE, The Journal of Experimental Medicine, PLoS Biology, Science Immunology and Applied and Environmental Microbiology.

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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