Reet Kurg

814 citations
35 papers · 622 · h-index 15

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • Molecular Biology Techniques and Applications 6
    • Extracellular vesicles in disease 6
    • RNA modifications and cancer 5
    • Immunotherapy and Immune Responses 7
    • T-cell and Retrovirus Studies 5

Reet Kurg

33 papers receiving 607 citations

Peers

Reet Kurg
Comparison fields: 5 of 79
  • Immunology 129
  • Biotechnology 52
  • Genetics 151
  • Molecular Biology 338
  • Epidemiology 149
Replace Teresa Martin with:
Teresa Martin Canada
Anuradha Mehta United States
Dan Sommer United States
Johana Chicher France
Makoto Hirayama Japan
Jan A. van der Knaap Netherlands
Catherine A. Dunn Canada
Nina V. Chichkova Russia
Tomohiro Akashi Japan
Sharon Karniely Israel
Reet Kurg relative to Teresa Martin Canada Teresa Martin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Reet Kurg

Since Specialization
Citations

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

Fields of papers citing papers by Reet Kurg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199661
2 200455
3 200152
4 200949
5 201346
6 201031
7 199929
8 201526
9 201122
10 200619
11 200719
12 202119
13 202117
14 200017
15 200516
16 201214
17 201614
18 200913
19 201913
20 201811

About Reet Kurg

Reet Kurg is a scholar working on Molecular Biology, Immunology, Epidemiology, Genetics and Pharmacology, having authored 35 papers that have together received 622 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (7 papers), Immunotherapy and Immune Responses (7 papers), Molecular Biology Techniques and Applications (6 papers), Extracellular vesicles in disease (6 papers), T-cell and Retrovirus Studies (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Immunology (129 citations), Biotechnology (52 citations), Genetics (151 citations), Molecular Biology (338 citations) and Epidemiology (149 citations). Reet Kurg has collaborated with scholars based in Estonia, United States and Germany. Frequent co-authors include Mart Ustav, Aare Abroi, Kadri Õunap, Nigulas Samel, Ivar Järving, Alan Brash, Külliki Varvas, Karin Valmsen, Ants Kurg and Ülo Langel. Their work appears in journals such as Journal of Virology, PLoS ONE, Virus Research, Virology and International Journal of Molecular Sciences.

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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