Svend Kjær

4.0k citations
27 papers · 1.1k indexed · h-index 16

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Immune Response and Inflammation
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Svend Kjær

25 papers receiving 1.1k citations

Peers

Svend Kjær
Comparison fields: 5 of 88
  • Immunology 507
  • Cell Biology 186
  • Structural Biology 11
  • Immunology and Allergy 46
  • Molecular Biology 501
Replace Alexandre David with:
Alexandre David France
Gareth Griffiths Germany
Mietske Wijers Netherlands
Joanne Durgan United Kingdom
Gurunadh R. Chichili United States
Nina Lampen United States
Hiroko Yaguchi Japan
Daryl E. Klein United States
Trevor Huyton Germany
Yoichiro Fujioka Japan
Svend Kjær relative to Alexandre David France Alexandre David's profile →
Citations per field
00.5×3.7×
Alexandre David · 1×
Citations per year

Countries citing papers authored by Svend Kjær

Since Specialization
Citations

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

Fields of papers citing papers by Svend Kjær

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Svend Kjær, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Svend Kjær Line = papers co-authored together Svend Kjær links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20241
4 202213
5 202125
6 202118
7 20217
8 202012
9 20208
10 201912
11 2018100
12 201820
13 201831
14 201717
15 201628
16 201626
17 201559
18 2015144
19 201453
20 201385

About Svend Kjær

Svend Kjær is a scholar working on Structural Biology, Immunology, Cell Biology, Molecular Biology and Computational Theory and Mathematics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Computational Drug Discovery Methods (3 papers), Cardiomyopathy and Myosin Studies (3 papers), T-cell and B-cell Immunology (3 papers), Cellular Mechanics and Interactions (3 papers), Microtubule and mitosis dynamics (3 papers), interferon and immune responses (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Immunology (507 citations), Cell Biology (186 citations), Structural Biology (11 citations), Immunology and Allergy (46 citations) and Molecular Biology (501 citations). Svend Kjær has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Michael Way, Caetano Reis e Sousa, Pavel Hanč, Oliver Schulz, Susan Ahrens, David Sancho, David J. Barry, Jasmine V. Abella, Mark Skehel and Barry J. Thompson. Their work appears in journals such as Journal of the American Chemical Society, Nature Structural & Molecular Biology, Nature Communications, Biochemical Journal and Immunity.

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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