Gwladys Pourceau

51 total papers · 952 total citations
38 papers, 756 citations indexed

About

Gwladys Pourceau is a scholar working on Organic Chemistry, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gwladys Pourceau has authored 38 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Organic Chemistry, 19 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gwladys Pourceau's work include Glycosylation and Glycoproteins Research (15 papers), Carbohydrate Chemistry and Synthesis (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Gwladys Pourceau is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Carbohydrate Chemistry and Synthesis (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Gwladys Pourceau collaborates with scholars based in France, Spain and United States. Gwladys Pourceau's co-authors include F. Morvan, Jean‐Jacques Vasseur, Albert Meyer, Éliane Souteyrand, Yann Chevolot, Anne Wadouachi, Sébastien Vidal, Matthieu Bécuwe, Audrey Drelich and Isabelle Pezron and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and ACS Catalysis.

In The Last Decade

Gwladys Pourceau

36 papers receiving 752 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gwladys Pourceau	531	441	164	90	80	38	756
Felix Dempwolff	582 1.1×	293 0.7×	41 0.3×	74 0.8×	123 1.5×	25	864
César Díez‐Gil	396 0.7×	231 0.5×	72 0.4×	117 1.3×	99 1.2×	16	816
Koen M. Halkes	517 1.0×	347 0.8×	72 0.4×	41 0.5×	19 0.2×	30	665
Andrew K. Udit	475 0.9×	192 0.4×	156 1.0×	70 0.8×	129 1.6×	30	877
Renato Ribeiro-Viana	420 0.8×	272 0.6×	80 0.5×	102 1.1×	23 0.3×	27	820
Dimitri Álvarez‐Dorta	423 0.8×	351 0.8×	86 0.5×	64 0.7×	24 0.3×	30	723
Chun‐Cheng Lin	598 1.1×	503 1.1×	92 0.6×	66 0.7×	16 0.2×	37	814
Beatriz Trastoy	414 0.8×	216 0.5×	114 0.7×	49 0.5×	18 0.2×	30	707
Ching‐Ching Yu	561 1.1×	370 0.8×	97 0.6×	107 1.2×	18 0.2×	29	766
Tsung‐Shing Andrew Wang	499 0.9×	199 0.5×	50 0.3×	70 0.8×	185 2.3×	38	799

Countries citing papers authored by Gwladys Pourceau

Since Specialization

Citations

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

Fields of papers citing papers by Gwladys Pourceau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwladys Pourceau

This figure shows the co-authorship network connecting the top 25 collaborators of Gwladys Pourceau. A scholar is included among the top collaborators of Gwladys Pourceau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gwladys Pourceau. Gwladys Pourceau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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