L. Dalgarno

67 papers receiving 6.4k citations

L. Dalgarno's Hit Papers

Conserved elements in the 3′ untranslated region of flavivirus RNAs and potential cyclization sequences 1987 · 292 citations
2920+17+34Years since publication10002.0k3.0k

Peers

L. Dalgarno
Comparison fields: 5 of 112
  • Infectious Diseases 1.4k
  • Genetics 1.9k
  • Molecular Biology 4.1k
  • Endocrinology 300
  • Public Health, Environmental and Occupational Health 1.5k
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Bart Barrell United Kingdom
Ewald Beck Germany
Nina Agabian United States
B. G. Barrell United Kingdom
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Leevi Kääriäinen Finland
Thierry Vernet France
Partho Ghosh United States
Philip J. Kranzusch United States
Eugene V. Koonin United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Dalgarno

Since Specialization
Citations

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

Fields of papers citing papers by L. Dalgarno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 3′-Terminal Sequence of Escherichia coli 16S Ribosomal RNA: Complementarity to Nonsense Triplets and Ribosome Binding Sites
Hit paper breakdown →
19743176
2
Determinant of cistron specificity in bacterial ribosomes
Hit paper breakdown →
19751197
3
Conserved elements in the 3′ untranslated region of flavivirus RNAs and potential cyclization sequences
Hit paper breakdown →
1987292
4 1986140
5 1990108
6 1983106
7 198295
8 199793
9 197493
10 197591
11 197387
12 198882
13 198865
14 199656
15 198850
16 197449
17 199449
18 198748
19 199547
20 198547

About L. Dalgarno

L. Dalgarno is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology, Plant Science and Agronomy and Crop Science, having authored 67 papers that have together received 6.8k indexed citations. Recurring topics across this work include Viral Infections and Vectors (32 papers), Mosquito-borne diseases and control (31 papers), RNA and protein synthesis mechanisms (16 papers), Animal Disease Management and Epidemiology (9 papers), RNA modifications and cancer (9 papers), Plant Virus Research Studies (8 papers), Bacteriophages and microbial interactions (7 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Genetics (1.9k citations), Molecular Biology (4.1k citations), Endocrinology (300 citations) and Public Health, Environmental and Occupational Health (1.5k citations). L. Dalgarno has collaborated with scholars based in Australia, United States and Tanzania. Frequent co-authors include John Shine, Charles M. Rice, James H. Strauss, Ronald C. Weir, Eva Lee, Ellen G. Strauss, Mario Lobigs, I. D. Marshall, Peter C. McMinn and Dennis W. Trent. Their work appears in journals such as Virology, Journal of General Virology, Journal of Molecular Biology, Journal of Virology and Archives of Virology.

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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