Grégory Upert

1.3k citations
28 papers · 739 indexed · h-index 14

Impact in

Papers in

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

Grégory Upert

28 papers receiving 737 citations

Peers

Grégory Upert
Comparison fields: 5 of 80
  • Microbiology 77
  • Molecular Medicine 54
  • Organic Chemistry 197
  • Molecular Biology 424
  • Biomaterials 61
Replace Yu‐Hsuan Tsai with:
Yu‐Hsuan Tsai United Kingdom
Miwako Asanuma Japan
Heejun Choi United States
Kerney Jebrell Glover United States
Andreas Kerth Germany
Victor Krasnikov Netherlands
Nancy J. Vogelaar United States
Andrea Hickel Austria
S. Lopes Portugal
Izhack Cherny Israel
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Citations per field
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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 2009159
2 202275
3 201761
4 202058
5 201354
6 200953
7 201152
8 201330
9 201324
10 201521
11 201617
12 200816
13 201116
14 200914
15 201912
16 201312
17 201712
18 20109
19 20058
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 739 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (4 papers), Nanocluster Synthesis and Applications (4 papers), Receptor Mechanisms and Signaling (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Microbiology (77 citations), Molecular Medicine (54 citations), Organic Chemistry (197 citations), Molecular Biology (424 citations) and Biomaterials (61 citations). Grégory Upert has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Helma Wennemers, Gaetano Angelici, Markus Wiesner, Daniel Obrecht, Anatol Luther, 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, Chemical Communications, Analytical Chemistry, Angewandte Chemie International Edition and Toxicon.

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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