Danielle Konings

2.3k citations
35 papers · 1.9k indexed · h-index 21

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies

Papers in

    • HIV Research and Treatment 6
    • RNA and protein synthesis mechanisms 24
    • RNA Research and Splicing 16
    • RNA modifications and cancer 12
    • Chemical Synthesis and Analysis 4
    • Genomics and Phylogenetic Studies 3

Danielle Konings

35 papers receiving 1.8k citations

Peers

Danielle Konings
Comparison fields: 5 of 79
  • Virology 342
  • Molecular Biology 1.4k
  • Genetics 377
  • Agronomy and Crop Science 95
  • Infectious Diseases 163
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Nissin Moussatché Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Konings

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Konings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200075
2 199778
3 199713
4 199730
5 19964
6 199563
7
A comparison of thermodynamic foldings with comparatively derived structures of 16S and 16S-like rRNAs.
199590
8 1994115
9 1993223
10 199336
11 199224
12 1990245
13 199013
14 198945
15 198920
16 198828
17 198812
18 198719
19 198715
20 1987147

About Danielle Konings

Danielle Konings is a scholar working on Virology, Molecular Biology, Infectious Diseases, Genetics and Hematology, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (24 papers), RNA Research and Splicing (16 papers), RNA modifications and cancer (12 papers), HIV Research and Treatment (6 papers), Chemical Synthesis and Analysis (4 papers), Virus-based gene therapy research (3 papers), Bacteriophages and microbial interactions (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Virology (342 citations), Molecular Biology (1.4k citations), Genetics (377 citations), Agronomy and Crop Science (95 citations) and Infectious Diseases (163 citations). Danielle Konings has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Robin R. Gutell, Daniel Gautheret, Paulien Hogeweg, Peter Schuster, Peter F. Stadler, Walter Fontana, Janice E. Clements, Robert Vigne, Gianni Cesareni and Joanne Hughes. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Journal of Medicinal Chemistry, Journal of Molecular Evolution and Journal of Theoretical Biology.

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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