Sandrine Gulberti

40 total papers · 910 total citations
24 papers, 677 citations indexed

About

Sandrine Gulberti is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Sandrine Gulberti has authored 24 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cell Biology and 16 papers in Organic Chemistry. Recurrent topics in Sandrine Gulberti's work include Glycosylation and Glycoproteins Research (20 papers), Proteoglycans and glycosaminoglycans research (20 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Sandrine Gulberti is often cited by papers focused on Glycosylation and Glycoproteins Research (20 papers), Proteoglycans and glycosaminoglycans research (20 papers) and Carbohydrate Chemistry and Synthesis (16 papers). Sandrine Gulberti collaborates with scholars based in France, United Kingdom and Italy. Sandrine Gulberti's co-authors include Sylvie Fournel‐Gigleux, Mohamed Ouzzine, Jacques Magdalou, Patrick Netter, Nick Ramalanjaona, Karim Bordji, Bernard Terlain, Jean-Noël Gouze, Virginie Lattard and Guillermo Mulliert and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Chemical Communications.

In The Last Decade

Sandrine Gulberti

24 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Sandrine Gulberti	416	311	175	138	117	24	677
Allen C. Stoolmiller	524 1.3×	305 1.0×	150 0.9×	67 0.5×	45 0.4×	25	740
Lanmin Zhai	383 0.9×	79 0.3×	49 0.3×	93 0.7×	79 0.7×	16	651
Dennis M. DiSorbo	429 1.0×	125 0.4×	42 0.2×	63 0.5×	165 1.4×	22	703
Alan M. Mahrenholz	519 1.2×	89 0.3×	49 0.3×	70 0.5×	52 0.4×	13	705
Yuan Wu	383 0.9×	87 0.3×	35 0.2×	108 0.8×	49 0.4×	39	719
Sulochanadevi Baskaran	293 0.7×	256 0.8×	58 0.3×	67 0.5×	25 0.2×	12	664
Koiti Titani	334 0.8×	97 0.3×	62 0.4×	45 0.3×	108 0.9×	15	684
Joanne Uhl	278 0.7×	82 0.3×	44 0.3×	62 0.4×	29 0.2×	19	587
A. R. Poole	366 0.9×	157 0.5×	24 0.1×	63 0.5×	54 0.5×	18	635
Jun‐Ho Cho	377 0.9×	51 0.2×	53 0.3×	165 1.2×	168 1.4×	32	737

Countries citing papers authored by Sandrine Gulberti

Since Specialization

Citations

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

Fields of papers citing papers by Sandrine Gulberti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandrine Gulberti

This figure shows the co-authorship network connecting the top 25 collaborators of Sandrine Gulberti. A scholar is included among the top collaborators of Sandrine Gulberti 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 Sandrine Gulberti. Sandrine Gulberti 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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