Sébastien Ladet

16 total papers · 605 total citations
2 papers, 536 citations indexed

About

Sébastien Ladet is a scholar working on Pathology and Forensic Medicine, Pharmaceutical Science and Rheumatology. According to data from OpenAlex, Sébastien Ladet has authored 2 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pathology and Forensic Medicine, 1 paper in Pharmaceutical Science and 1 paper in Rheumatology. Recurrent topics in Sébastien Ladet's work include Spine and Intervertebral Disc Pathology (1 paper), Advanced Drug Delivery Systems (1 paper) and 3D Printing in Biomedical Research (1 paper). Sébastien Ladet is often cited by papers focused on Spine and Intervertebral Disc Pathology (1 paper), Advanced Drug Delivery Systems (1 paper) and 3D Printing in Biomedical Research (1 paper). Sébastien Ladet collaborates with scholars based in France. Sébastien Ladet's co-authors include Alain Domard, Laurent David, Khadija Tahiri, Alexandra Montembault and M.T. Corvol and has published in prestigious journals such as Nature and Biomaterials.

In The Last Decade

Sébastien Ladet

2 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Sébastien Ladet	273	221	217	90	65	2	536
Minjie Pei	276 1.0×	223 1.0×	201 0.9×	83 0.9×	31 0.5×	7	606
LI Shu-xi	280 1.0×	205 0.9×	319 1.5×	63 0.7×	31 0.5×	4	591
Yang Liu	199 0.7×	195 0.9×	184 0.8×	73 0.8×	49 0.8×	11	518
Meredith E. Wiseman	159 0.6×	276 1.2×	260 1.2×	57 0.6×	87 1.3×	7	618
Bruno Marco‐Dufort	229 0.8×	228 1.0×	188 0.9×	73 0.8×	42 0.6×	9	619
Usha Pramod Shinde	280 1.0×	185 0.8×	295 1.4×	42 0.5×	25 0.4×	8	530
Young‐Ah Lucy Lee	173 0.6×	272 1.2×	128 0.6×	60 0.7×	106 1.6×	12	598
Won‐Ill Cha	243 0.9×	221 1.0×	175 0.8×	35 0.4×	45 0.7×	10	581
Mahdi Zeidi	198 0.7×	201 0.9×	74 0.3×	66 0.7×	36 0.6×	10	568
Kimberly A. Smeds	238 0.9×	246 1.1×	170 0.8×	32 0.4×	20 0.3×	6	584

Countries citing papers authored by Sébastien Ladet

Since Specialization

Citations

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

Fields of papers citing papers by Sébastien Ladet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Ladet

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