Max Ferretti

1.2k citations
26 papers · 813 · h-index 16

Impact in

  • Urology top 2%
    • Urological Disorders and Treatments
    • interferon and immune responses

Papers in

    • RNA Research and Splicing 9
    • RNA modifications and cancer 7
    • RNA and protein synthesis mechanisms 6
    • Sexual Differentiation and Disorders 5
    • Urological Disorders and Treatments 6

Max Ferretti

24 papers receiving 809 citations

Peers

Max Ferretti
Comparison fields: 5 of 81
  • Urology 171
  • Immunology 191
  • Molecular Biology 551
  • Infectious Diseases 118
  • Rheumatology 67
Replace Daniel Guerrier with:
Daniel Guerrier France
Ester Silveira Ramos Brazil
H Fujii Japan
J.F. David-Ferreira Portugal
Nalini Gupta India
Cynthia S. Cook United States
D. Nashan Germany
Philip D. Buchanan United States
Debbie Williams United Kingdom
Stéphane Deschamps France
Max Ferretti relative to Daniel Guerrier France Daniel Guerrier's profile →
Citations per field
00.5×3.8×
Daniel Guerrier · 1×
Citations per year

Countries citing papers authored by Max Ferretti

Since Specialization
Citations

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

Fields of papers citing papers by Max Ferretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021143
2 2017108
3 201995
4 201160
5 201247
6 202046
7 201540
8 201439
9 202236
10 201335
11 201424
12 201224
13 202223
14 201220
15 201815
16 202315
17 202211
18 202210
19 20238
20 20226

About Max Ferretti

Max Ferretti is a scholar working on Molecular Biology, Urology, Immunology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 813 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (7 papers), Urological Disorders and Treatments (6 papers), RNA and protein synthesis mechanisms (6 papers), Sexual Differentiation and Disorders (5 papers), interferon and immune responses (4 papers), Viral Infections and Immunology Research (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Urology (171 citations), Immunology (191 citations), Molecular Biology (551 citations), Infectious Diseases (118 citations) and Rheumatology (67 citations). Max Ferretti has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Katrin Karbstein, Gerald R. Cunha, Laurence S. Baskin, Homa Ghalei, Kristen W. Lynch, Gail P. Risbridger, Sara Cherry, Mark Dittmar, Dana Weiß and Adriane Sinclair. Their work appears in journals such as Cell Reports, Differentiation, Nature Structural & Molecular Biology, Molecular Cell and eLife.

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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