Nicolas Panel

438 citations
12 papers · 170 · h-index 9

Impact in

Papers in

    • Protein Structure and Dynamics 7
    • Receptor Mechanisms and Signaling 4
    • RNA and protein synthesis mechanisms 3
    • Machine Learning in Bioinformatics 1
    • Enzyme Structure and Function 4

Nicolas Panel

12 papers receiving 170 citations

Peers

Nicolas Panel
Comparison fields: 5 of 52
  • Computational Theory and Mathematics 46
  • Physiology 11
  • Molecular Biology 140
  • Molecular Medicine 4
  • Radiology, Nuclear Medicine and Imaging 18
Replace Heather Simmonite with:
Heather Simmonite United Kingdom
Jonathan P. Hutchinson United Kingdom
Shristi Pawnikar United States
Shota Uehara Japan
R. Rajgaria United States
Hamed S. Hayatshahi United States
Anastasiia Gusach United States
Efrat Resnick Israel
Sian Xiao United States
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Panel

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Panel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202042
2 201823
3 201817
4 202016
5 201614
6 202114
7 202312
8 20179
9 20168
10 20178
11 20206
12 20251

About Nicolas Panel

Nicolas Panel is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Animal Science and Zoology and Rheumatology, having authored 12 papers that have together received 170 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers), Receptor Mechanisms and Signaling (4 papers), RNA and protein synthesis mechanisms (3 papers), Neuropeptides and Animal Physiology (3 papers), Mast cells and histamine (1 paper), Machine Learning in Bioinformatics (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Computational Theory and Mathematics (46 citations), Physiology (11 citations), Molecular Biology (140 citations), Molecular Medicine (4 citations) and Radiology, Nuclear Medicine and Imaging (18 citations). Nicolas Panel has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Thomas Simonson, Francesco Della Villa, Ernesto J. Fuentes, Jens Carlsson, Pierre Matricon, Kenneth A. Jacobson, Zhan‐Guo Gao, Thomas Gaillard, Xingyu Chen and Young Joo Sun. Their work appears in journals such as Angewandte Chemie International Edition, Biophysical Journal, Scientific Reports, Chemical Science and Frontiers in Molecular Biosciences.

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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