Patrice Mascalchi

787 citations
12 papers · 320 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 2
    • Cell Image Analysis Techniques 3
    • Advanced Fluorescence Microscopy Techniques 2

Patrice Mascalchi

12 papers receiving 317 citations

Peers

Patrice Mascalchi
Comparison fields: 5 of 70
  • Biophysics 44
  • Structural Biology 8
  • Cancer Research 80
  • Molecular Biology 209
  • Hepatology 18
Replace Lena Voith von Voithenberg with:
Lena Voith von Voithenberg Germany
Ineke Brouwer Netherlands
Xinyong Ma China
Koichiro M. Hirosawa Japan
Jean‐Pierre Clamme France
Penny E. Morton United Kingdom
Lydia A. Perkins United States
W.D. Zencheck United States
Fahad Rashid Saudi Arabia
Colin M. Hammond United Kingdom
Patrice Mascalchi relative to Lena Voith von Voithenberg Germany Lena Voith von Voithenberg's profile →
Citations per field
00.5×
Lena Voith von Voithenberg · 1×
Citations per year

Countries citing papers authored by Patrice Mascalchi

Since Specialization
Citations

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

Fields of papers citing papers by Patrice Mascalchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201888
2 201663
3 202046
4 201234
5 201822
6 201213
7 201312
8 201111
9 202410
10 202010
11 20196
12 20185

About Patrice Mascalchi

Patrice Mascalchi is a scholar working on Molecular Biology, Biophysics, Epidemiology, Hepatology and Cancer Research, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Quantum Dots Synthesis And Properties (2 papers), ZnO doping and properties (2 papers), Liver physiology and pathology (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biophysics (44 citations), Structural Biology (8 citations), Cancer Research (80 citations), Molecular Biology (209 citations) and Hepatology (18 citations). Patrice Mascalchi has collaborated with scholars based in France, United Kingdom and Morocco. Frequent co-authors include Chris Bakal, Duncan T. Odom, Fanni Gergely, Aaron T. L. Lun, Alexis R. Barr, John C. Marioni, Laurence Salomé, Lovorka Stojic, Siang‐Boon Koh and Scott K. Lyons. Their work appears in journals such as Journal of Materials Chemistry, Journal of Materials Chemistry C, Journal of Physics D Applied Physics, Nature Communications and Soft Matter.

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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