E. Dybkjær

60 total papers · 1.1k total citations
42 papers, 846 citations indexed

About

E. Dybkjær is a scholar working on Hematology, Epidemiology and Management of Technology and Innovation. According to data from OpenAlex, E. Dybkjær has authored 42 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 11 papers in Epidemiology and 8 papers in Management of Technology and Innovation. Recurrent topics in E. Dybkjær's work include Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers) and Blood donation and transfusion practices (8 papers). E. Dybkjær is often cited by papers focused on Blood groups and transfusion (10 papers), Blood transfusion and management (8 papers) and Blood donation and transfusion practices (8 papers). E. Dybkjær collaborates with scholars based in Denmark, Switzerland and United Kingdom. E. Dybkjær's co-authors include Hans Jørgen Nielsen, Nils Brünner, L Edvardsen, V. Reinicke, Anders N. Pedersen, Maria J. A. G. Hamers, Ross W. Stephens, Keld Danø, Gunilla Høyer‐Hansen and Ebbe Rønne and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Clinical Chemistry.

In The Last Decade

E. Dybkjær

39 papers receiving 769 citations

Author Peers

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

Author						Papers	Cites
E. Dybkjær	248	242	215	152	107	42	846
James L. Tullis	317 1.3×	95 0.4×	85 0.4×	36 0.2×	109 1.0×	46	944
Kendall P. Crookston	232 0.9×	119 0.5×	79 0.4×	63 0.4×	183 1.7×	36	776
Francesco Puppo	183 0.7×	189 0.8×	100 0.5×	43 0.3×	72 0.7×	45	982
Lin Js	314 1.3×	96 0.4×	117 0.5×	38 0.3×	88 0.8×	57	825
Jocelyne Flament	211 0.9×	269 1.1×	67 0.3×	46 0.3×	100 0.9×	32	950
Patricia Molina	156 0.6×	65 0.3×	122 0.6×	64 0.4×	210 2.0×	30	765
Freja Ebeling	370 1.5×	48 0.2×	176 0.8×	35 0.2×	68 0.6×	49	806
Photis Beris	465 1.9×	110 0.5×	50 0.2×	28 0.2×	137 1.3×	44	796
Meenu Bajpai	127 0.5×	82 0.3×	312 1.5×	19 0.1×	37 0.3×	52	708
D Rafanelli	377 1.5×	115 0.5×	73 0.3×	10 0.1×	52 0.5×	47	732

Countries citing papers authored by E. Dybkjær

Since Specialization

Citations

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

Fields of papers citing papers by E. Dybkjær

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Dybkjær

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