Grégory Upert

1.3k citations
28 papers · 766 · h-index 15

Impact in

Papers in

    • Chemical Synthesis and Analysis 6
    • Nicotinic Acetylcholine Receptors Study 5
    • Advanced biosensing and bioanalysis techniques 5
    • Receptor Mechanisms and Signaling 4
    • Mass Spectrometry Techniques and Applications 5
    • Analytical Chemistry and Chromatography 4

Grégory Upert

28 papers receiving 763 citations

Peers

Grégory Upert
Comparison fields: 5 of 79
  • Microbiology 75
  • Molecular Medicine 53
  • Organic Chemistry 198
  • Molecular Biology 425
  • Biomaterials 64
Replace Miwako Asanuma with:
Miwako Asanuma Japan
Radhakrishnan Mahalakshmi India
Kerney Jebrell Glover United States
S. Lopes Portugal
Petra Schulte Germany
Izhack Cherny Israel
Sacha Javor Switzerland
Rongfeng Zou China
Victor Krasnikov Netherlands
Donald E. Elmore United States
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Citations per field
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Miwako Asanuma · 1×
Citations per year

Countries citing papers authored by Grégory Upert

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Upert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009161
2 202279
3 201764
4 202062
5 201157
6 200955
7 201355
8 201330
9 201324
10 201521
11 201618
12 200816
13 201116
14 201315
15 200914
16 201913
17 201712
18 20109
19 20059
20 20148

About Grégory Upert

Grégory Upert is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Organic Chemistry and Molecular Medicine, having authored 28 papers that have together received 766 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Nanocluster Synthesis and Applications (4 papers), Receptor Mechanisms and Signaling (4 papers), Analytical Chemistry and Chromatography (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Microbiology (75 citations), Molecular Medicine (53 citations), Organic Chemistry (198 citations), Molecular Biology (425 citations) and Biomaterials (64 citations). Grégory Upert has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Helma Wennemers, Gaetano Angelici, Markus Wiesner, Anatol Luther, Daniel Obrecht, Nicolas Gilles, Philipp Ermert, Denis Servent, Edwin De Pauw and Loïc Quinton. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, Toxicon, Chemical Communications, Analytical Chemistry and Angewandte Chemie International Edition.

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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