N.S. Laursen

64 total papers · 3.1k total citations
33 papers, 1.0k citations indexed

About

N.S. Laursen is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, N.S. Laursen has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 16 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in N.S. Laursen's work include Complement system in diseases (19 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Blood groups and transfusion (6 papers). N.S. Laursen is often cited by papers focused on Complement system in diseases (19 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Blood groups and transfusion (6 papers). N.S. Laursen collaborates with scholars based in Denmark, Germany and United States. N.S. Laursen's co-authors include G.R. Andersen, Ian A. Wilson, Lars Sottrup‐Jensen, Steffen Thiel, Edzard Spillner, Kasper R. Andersen, Rasmus K. Jensen, Folmer Fredslund, Laure Yatime and Péter Gál and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

N.S. Laursen

31 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
N.S. Laursen 565 268 267 261 135 33 1.0k
Robert J. Boackle 531 0.9× 117 0.4× 122 0.5× 288 1.1× 237 1.8× 46 1.2k
Johannes Möst 419 0.7× 76 0.3× 153 0.6× 182 0.7× 146 1.1× 31 951
A F Esser 679 1.2× 88 0.3× 111 0.4× 374 1.4× 161 1.2× 28 1.1k
A Vogt 378 0.7× 242 0.9× 69 0.3× 321 1.2× 103 0.8× 64 1.2k
T. Lea 379 0.7× 124 0.5× 82 0.3× 159 0.6× 121 0.9× 22 818
Joseph J. E. Caesar 631 1.1× 48 0.2× 241 0.9× 284 1.1× 212 1.6× 24 1.2k
Lynne M. Mitchell 698 1.2× 88 0.3× 74 0.3× 153 0.6× 251 1.9× 28 986
F Celada 626 1.1× 427 1.6× 100 0.4× 301 1.2× 60 0.4× 37 1.1k
Evelyne Gout 398 0.7× 57 0.2× 116 0.4× 448 1.7× 75 0.6× 43 956
Karen Duus 544 1.0× 70 0.3× 348 1.3× 281 1.1× 53 0.4× 35 1.2k

Countries citing papers authored by N.S. Laursen

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Laursen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Laursen. 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 N.S. Laursen. The network helps show where N.S. Laursen may publish in the future.

Co-authorship network of co-authors of N.S. Laursen

This figure shows the co-authorship network connecting the top 25 collaborators of N.S. Laursen. A scholar is included among the top collaborators of N.S. Laursen 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 N.S. Laursen. N.S. Laursen 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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