Bassel Ghaddar

653 citations
10 papers · 474 · h-index 6

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • Gut microbiota and health 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Extracellular vesicles in disease 1
    • Cancer Genomics and Diagnostics 2
    • MicroRNA in disease regulation 1

Bassel Ghaddar

10 papers receiving 472 citations

Peers

Bassel Ghaddar
Comparison fields: 5 of 70
  • Cancer Research 146
  • Immunology and Allergy 42
  • Molecular Biology 377
  • Biotechnology 28
  • Biomedical Engineering 113
Replace Erika K. Ramos with:
Erika K. Ramos United States
Dagmar Orgel Germany
Berent Aldikacti United States
Bairen Pang China
Yoshifusa Sadamura Japan
Shahrokh M. Ghobadloo Canada
Renee T. Zhao United States
LaDeidra Monét Roberts United States
Aaron J. Sorrin United States
Qiaoyi Wu China
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Citations per field
00.5×7.7×
Erika K. Ramos · 1×
Citations per year

Countries citing papers authored by Bassel Ghaddar

Since Specialization
Citations

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

Fields of papers citing papers by Bassel Ghaddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2017302
2 2022118
3 201414
4 202314
5 202211
6 20228
7 20234
8 20261
9 20251
10 20251

About Bassel Ghaddar

Bassel Ghaddar is a scholar working on Molecular Biology, Cancer Research, Ecology, Oncology and Epidemiology, having authored 10 papers that have together received 474 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (2 papers), Gut microbiota and health (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Extracellular vesicles in disease (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (146 citations), Immunology and Allergy (42 citations), Molecular Biology (377 citations), Biotechnology (28 citations) and Biomedical Engineering (113 citations). Bassel Ghaddar has collaborated with scholars based in United States. Frequent co-authors include Subhajyoti De, Eunha Kim, Hakho Lee, Leonora Balaj, Ralph Weissleder, Kyungheon Lee, Xandra O. Breakefield, E. Antonio Chiocca, Kyle Fraser and Martin J. Blaser. Their work appears in journals such as Cancer Cell, Inflammatory Bowel Diseases, ACS Nano, Nature Computational Science and PLoS ONE.

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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