Cédric Hesling

463 citations
11 papers · 390 · h-index 11

Impact in

    • Cancer Cells and Metastasis
    • RNA modifications and cancer
    • TGF-β signaling in diseases
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms

Papers in

    • TGF-β signaling in diseases 3
    • RNA modifications and cancer 2
    • Cancer Cells and Metastasis 3
    • Peptidase Inhibition and Analysis 1

Cédric Hesling

11 papers receiving 387 citations

Peers

Cédric Hesling
Comparison fields: 5 of 64
  • Oncology 110
  • Molecular Biology 231
  • Cancer Research 48
  • Pathology and Forensic Medicine 42
  • Immunology 48
Replace Eiko Hayashi with:
Eiko Hayashi Japan
Loren Lasko United States
Sonal Varma Canada
Jennifer R. Devlin Australia
Tomoko Fujikane Japan
Jason M. Beckta United States
Rasha Linehan Ireland
Reyno Del Rosario United States
Vaibhav Chumbalkar United States
Melissa Q. McCreery United States
Cédric Hesling relative to Eiko Hayashi Japan Eiko Hayashi's profile →
Citations per field
00.5×1.5×2.3×
Eiko Hayashi · 1×
Citations per year

Countries citing papers authored by Cédric Hesling

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Hesling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200466
2 201158
3 201347
4 201247
5 201430
6 201328
7 200728
8 201027
9 201325
10 201223
11 200411

About Cédric Hesling

Cédric Hesling is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Genetics and Materials Chemistry, having authored 11 papers that have together received 390 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Cells and Metastasis (3 papers), Blood disorders and treatments (2 papers), RNA modifications and cancer (2 papers), Peptidase Inhibition and Analysis (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Oncology (110 citations), Molecular Biology (231 citations), Cancer Research (48 citations), Pathology and Forensic Medicine (42 citations) and Immunology (48 citations). Cédric Hesling has collaborated with scholars based in France, Brazil and United Kingdom. Frequent co-authors include Ruth Rimokh, Ivan Mikaélian, Germain Gillet, Philippe Gonzalo, Jonathan Lopez, Nilson Ivo Tonin Zanchin, Beatriz A. Castilho, Laurent Fattet, Rudy Gadet and M. D’Incan. Their work appears in journals such as Journal of Materials Chemistry B, Dalton Transactions, Journal of Cell Science, Journal of Investigative Dermatology and Experimental Cell Research.

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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