Nijole Jasinskiene

4.9k citations
38 papers · 3.5k indexed · 1 hit paper · h-index 29

Nijole Jasinskiene

38 papers receiving 3.4k citations

Hit Papers

Highly efficient Cas9-mediated gene drive for population ...6672015202620182022200400600

Peers

Nijole Jasinskiene
Comparison fields: 5 of 96
  • Insect Science 2.0k
  • Public Health, Environmental and Occupational Health 1.2k
  • Molecular Biology 2.3k
  • Immunology 624
  • Business and International Management 54
Replace Tony Nolan with:
Tony Nolan United Kingdom
Éric Marois France
Omar S. Akbari United States
Nikolai Windbichler United Kingdom
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Andrew Hammond United Kingdom
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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

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

All Works

20 of 20 papers shown
#Work
1 202063
2 2020111
3 201712
4
Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensibreakdown →
2015667
5 201345
6 201293
7 201197
8 201133
9 2010245
10 201037
11 200730
12 200716
13 200636
14 200249
15 200031
16 199970
17 19984
18 19975
19 199510
20 19854

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), Insect Resistance and Genetics (21 papers), Mosquito-borne diseases and control (10 papers), Invertebrate Immune Response Mechanisms (8 papers), Chromosomal and Genetic Variations (3 papers), Animal Genetics and Reproduction (3 papers) and Neurobiology and Insect Physiology Research (3 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 Proceedings of the National Academy of Sciences, Insect Biochemistry and Molecular Biology, Insect Molecular Biology, American Journal of Tropical Medicine and Hygiene and Journal of Visualized Experiments.

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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