Nijole Jasinskiene

4.9k citations
38 papers · 3.5k indexed · 1 hit paper · h-index 29
Topics
CRISPR and Genetic Engineering (24 papers)Insect symbiosis and bacterial influences (23 papers)Insect Resistance and Genetics (21 papers)

In The Last Decade

Nijole Jasinskiene

38 papers receiving 3.4k citations

Hit Papers

Highly efficient Cas9-mediated gene drive for population ...20152026201820222015200400600

Peers

Nijole Jasinskiene
Comparison fields: 5 of 96
  • Molecular Biology 2.3k
  • Insect Science 2.0k
  • Public Health, Environmental and Occupational Health 1.2k
  • Immunology 624
  • Genetics 544
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Nijole Jasinskiene relative to Tony Nolan United Kingdom Tony Nolan's profile →
Citations per field
00.5×1.5×
Tony Nolan · 1×
Citations per year

Countries citing papers authored by Nijole Jasinskiene

Since Specialization
Citations

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

Fields of papers citing papers by Nijole Jasinskiene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nijole Jasinskiene

This figure shows the co-authorship network connecting the top 25 collaborators of Nijole Jasinskiene. A scholar is included among the top collaborators of Nijole Jasinskiene 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 Nijole Jasinskiene. Nijole Jasinskiene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 63
2 111
3 12
4
Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensibreakdown →
667
5 45
6 93
7 97
8 33
9 245
10 37
11 30
12 16
13 36
14 49
15 31
16 70
17 4
18 5
19 10
20 4

About Nijole Jasinskiene

Nijole Jasinskiene is a scholar working on Insect Science, Molecular Biology and Immunology, having authored 38 papers that have together received 3.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (24 papers), Insect symbiosis and bacterial influences (23 papers) and Insect Resistance and Genetics (21 papers). The work is most often cited by research in Insect Science (2.0k citations), Public Health, Environmental and Occupational Health (1.2k citations) and Molecular Biology (2.3k citations). Nijole Jasinskiene has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Anthony A. James, Craig J. Coates, Ethan Bier, Valentino M. Gantz, Vanessa M. Macias, Osvaldo Marinotti, Anthony James, Cristina Rafferty, Frank H. Collins and Anthony J. Cornel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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