Franck Madoux

2.4k citations
43 papers · 1.8k · h-index 22

Impact in

Papers in

    • Signaling Pathways in Disease 4
    • Protein Degradation and Inhibitors 4
    • Receptor Mechanisms and Signaling 3
    • Peptidase Inhibition and Analysis 5

Franck Madoux

43 papers receiving 1.8k citations

Peers

Franck Madoux
Comparison fields: 5 of 124
  • Aging 50
  • Cell Biology 279
  • Molecular Biology 953
  • Oncology 301
  • Cellular and Molecular Neuroscience 190
Replace Ursula Stochaj with:
Ursula Stochaj Canada
June‐Tai Wu Taiwan
Jody M. Mason United Kingdom
Mo R. Ebrahimkhani United States
Jiho Kim South Korea
Yama Abassi United States
Günter Stier Germany
Hugo Lavoie Canada
Shinji Kamada Japan
Franck Madoux relative to Ursula Stochaj Canada Ursula Stochaj's profile →
Citations per field
00.5×1.5×1.8×
Ursula Stochaj · 1×
Citations per year

Countries citing papers authored by Franck Madoux

Since Specialization
Citations

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

Fields of papers citing papers by Franck Madoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011182
2 2016174
3 2016161
4 2014146
5 2013123
6 2018120
7 201595
8 201592
9 200970
10 201755
11 200844
12 201137
13 201437
14 201535
15 200832
16 201432
17 201828
18 201426
19 201525
20 201524

About Franck Madoux

Franck Madoux is a scholar working on Molecular Biology, Oncology, Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Peptidase Inhibition and Analysis (5 papers), Signaling Pathways in Disease (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Protein Degradation and Inhibitors (4 papers), Microtubule and mitosis dynamics (3 papers), Nuclear Receptors and Signaling (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Aging (50 citations), Cell Biology (279 citations), Molecular Biology (953 citations), Oncology (301 citations) and Cellular and Molecular Neuroscience (190 citations). Franck Madoux has collaborated with scholars based in United States, China and France. Frequent co-authors include Peter Hodder, Timothy Spicer, Louis Scampavia, Peter Chase, Shurong Hou, William Roush, Dan Garza, Thomas D. Bannister, Patrick R. Griffin and Michael D. Cameron. Their work appears in journals such as SLAS DISCOVERY, ACS Chemical Biology, Assay and Drug Development Technologies, Journal of Biological Chemistry and Molecular Pharmacology.

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.

Explore authors with similar magnitude of impact