Emilie Castermans

54 total papers · 1.9k total citations
21 papers, 623 citations indexed

About

Emilie Castermans is a scholar working on Epidemiology, Hematology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Emilie Castermans has authored 21 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Hematology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Emilie Castermans's work include Hematopoietic Stem Cell Transplantation (7 papers), Neuroendocrine Tumor Research Advances (6 papers) and T-cell and B-cell Immunology (5 papers). Emilie Castermans is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Neuroendocrine Tumor Research Advances (6 papers) and T-cell and B-cell Immunology (5 papers). Emilie Castermans collaborates with scholars based in Belgium, United States and France. Emilie Castermans's co-authors include Ton N. Schumacher, Pleun Hombrink, Sine Reker Hadrup, Christian U. Blank, Rikke Sick Andersen, Mirjam H.M. Heemskerk, Arne Bakker, John B.A.G. Haanen, Chengyi J. Shu and Per thor Straten and has published in prestigious journals such as Blood, Nature Methods and Journal of Hepatology.

In The Last Decade

Emilie Castermans

20 papers receiving 613 citations

Author Peers

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

Author						Papers	Cites
Emilie Castermans	325	149	138	124	114	21	623
Sunita Badola	135 0.4×	233 1.6×	207 1.5×	152 1.2×	83 0.7×	16	729
Antonios Psarras	404 1.2×	110 0.7×	117 0.8×	43 0.3×	144 1.3×	27	786
Hidenori Hase	481 1.5×	117 0.8×	196 1.4×	45 0.4×	78 0.7×	17	749
G.B. Wee	296 0.9×	183 1.2×	84 0.6×	49 0.4×	57 0.5×	22	648
Cordelia E. Sever	182 0.6×	184 1.2×	199 1.4×	130 1.0×	23 0.2×	17	569
Y Ueyama	203 0.6×	249 1.7×	185 1.3×	98 0.8×	21 0.2×	27	622
Katherine Matthews	345 1.1×	298 2.0×	112 0.8×	26 0.2×	44 0.4×	17	653
Wayne Borcherding	237 0.7×	112 0.8×	313 2.3×	108 0.9×	22 0.2×	21	733
Charles Allam	206 0.6×	296 2.0×	152 1.1×	245 2.0×	28 0.2×	24	744
Anaïs Levescot	402 1.2×	101 0.7×	126 0.9×	68 0.5×	18 0.2×	16	631

Countries citing papers authored by Emilie Castermans

Since Specialization

Citations

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

Fields of papers citing papers by Emilie Castermans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilie Castermans

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