R Linsk

435 citations
9 papers · 390 · h-index 8

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • vaccines and immunoinformatics approaches
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 2
    • vaccines and immunoinformatics approaches 3
    • Developmental Biology and Gene Regulation 2
    • Genomics and Chromatin Dynamics 2

R Linsk

9 papers receiving 374 citations

Peers

R Linsk
Comparison fields: 5 of 33
  • Immunology 222
  • Molecular Biology 163
  • Oncology 38
  • Transplantation 5
  • Aging 2
Replace Magali Dosseto with:
Magali Dosseto France
Dirk Engelbert Germany
Ralf Stefan Neumann Norway
Toyozo Sekiguchi Japan
Elizabeth H. Weiss United States
T Meo France
Ulrich H�mmerling United States
Sadakazu Usuda United States
Morinobu Takahashi Japan
Julian Pan United States
R Linsk relative to Magali Dosseto France Magali Dosseto's profile →
Citations per field
00.5×2×3×4×
Magali Dosseto · 1×
Citations per year

Countries citing papers authored by R Linsk

Since Specialization
Citations

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

Fields of papers citing papers by R Linsk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside R Linsk, 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 R Linsk Line = papers co-authored together R Linsk links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1985147
2 198860
3 199448
4 198643
5 199430
6 198623
7 198919
8 199413
9 19897

About R Linsk

R Linsk is a scholar working on Immunology, Molecular Biology, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 390 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Chromosomal and Genetic Variations (3 papers), vaccines and immunoinformatics approaches (3 papers), T-cell and B-cell Immunology (2 papers), Developmental Biology and Gene Regulation (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Immunology (222 citations), Molecular Biology (163 citations), Oncology (38 citations), Transplantation (5 citations) and Aging (2 citations). R Linsk has collaborated with scholars based in United States. Frequent co-authors include Robert S. Goodenow, Julie M. Vogel, James A. Birchler, Amy K. Csink, Elizabeth S. Song, C A Olson, Hans J. Stauss, James Forman, Max E. Gottesman and Léonard Rabinow. Their work appears in journals such as Genetics, Science, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and International Journal of Immunogenetics.

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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