Karin E. Lundin

1.6k citations
52 papers · 1.1k · h-index 20

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
  • Virology top 10%

Papers in

    • RNA Interference and Gene Delivery 29
    • Advanced biosensing and bioanalysis techniques 28
    • DNA and Nucleic Acid Chemistry 20
    • Glycosylation and Glycoproteins Research 4
    • Virus-based gene therapy research 7

Karin E. Lundin

52 papers receiving 1.1k citations

Peers

Karin E. Lundin
Comparison fields: 5 of 86
  • Molecular Biology 902
  • Virology 36
  • Infectious Diseases 88
  • Immunology 101
  • Genetics 119
Replace Christina M. Pica with:
Christina M. Pica United States
Julien Depollier France
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Citations per field
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Citations per year

Countries citing papers authored by Karin E. Lundin

Since Specialization
Citations

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

Fields of papers citing papers by Karin E. Lundin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karin E. Lundin, 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 Karin E. Lundin Line = papers co-authored together Karin E. Lundin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015212
2 200696
3 201386
4 198851
5 201438
6 199034
7 201729
8 201429
9 201028
10 201027
11 201325
12 200925
13 201625
14 200724
15 201523
16 198721
17 201820
18 199620
19 200420
20 200419

About Karin E. Lundin

Karin E. Lundin is a scholar working on Molecular Biology, Genetics, Ecology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (29 papers), Advanced biosensing and bioanalysis techniques (28 papers), DNA and Nucleic Acid Chemistry (20 papers), Bacteriophages and microbial interactions (7 papers), Virus-based gene therapy research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Molecular Biology (902 citations), Virology (36 citations), Infectious Diseases (88 citations), Immunology (101 citations) and Genetics (119 citations). Karin E. Lundin has collaborated with scholars based in Sweden, Denmark and Egypt. Frequent co-authors include Olof Gissberg, Roger Strömberg, Jesper Wengel, Rula Zain, Pedro M. D. Moreno, Astrid Gräslund, Liam Good, Eman M. Zaghloul, Samir EL Andaloussi and Fredrik Oftung. Their work appears in journals such as Nucleic Acids Research, Nucleic Acid Therapeutics, Molecular Therapy — Nucleic Acids, Pharmaceutics and Journal of Immunological Methods.

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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