Jonathan C. Jaoude

602 citations
9 papers · 418 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Peroxisome Proliferator-Activated Receptors
    • RNA modifications and cancer
    • Metabolism, Diabetes, and Cancer

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Metabolism, Diabetes, and Cancer 1
    • Cancer, Lipids, and Metabolism 4
    • Cancer, Hypoxia, and Metabolism 2

Jonathan C. Jaoude

9 papers receiving 416 citations

Peers

Jonathan C. Jaoude
Comparison fields: 5 of 72
  • Cancer Research 97
  • Molecular Biology 210
  • Biochemistry 21
  • Immunology 45
  • Oncology 46
Replace Shuying Miao with:
Shuying Miao China
Zhimei Lv China
David Santos Spain
Xiang Ou China
Marilena Castelli Italy
Linlin Zhu China
Diana Weißenberger Switzerland
Zhihui Wang China
Rita Nogueira‐Ferreira Portugal
Jonathan C. Jaoude relative to Shuying Miao China Shuying Miao's profile →
Citations per field
00.5×2×4×6×8.4×
Shuying Miao · 1×
Citations per year

Countries citing papers authored by Jonathan C. Jaoude

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Jaoude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Jaoude. 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 Jonathan C. Jaoude. The network helps show where Jonathan C. Jaoude may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018149
2 201774
3 201761
4 201654
5 201946
6 202021
7 201811
8 20191
9 20191

About Jonathan C. Jaoude

Jonathan C. Jaoude is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Epidemiology, having authored 9 papers that have together received 418 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immune cells in cancer (2 papers), Galectins and Cancer Biology (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (97 citations), Molecular Biology (210 citations), Biochemistry (21 citations), Immunology (45 citations) and Oncology (46 citations). Jonathan C. Jaoude has collaborated with scholars based in United States and China. Frequent co-authors include Imad Shureiqi, Xiangsheng Zuo, Jennifer K. Colby, Yi Liu, Daoyan Wei, Yunsuk Koh, Fuyao Liu, Rui Tian, Fei Mao and Shen Gao. Their work appears in journals such as Cancer Research, Cell Death and Differentiation, Cell Reports, Cancer and Metastasis Reviews and Prostaglandins & Other Lipid Mediators.

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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