Sylvia Eiler

1.3k citations
28 papers · 1.1k · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics

Papers in

    • HIV Research and Treatment 7
    • Mass Spectrometry Techniques and Applications 4

Sylvia Eiler

26 papers receiving 1.1k citations

Peers

Sylvia Eiler
Comparison fields: 5 of 70
  • Virology 150
  • Molecular Biology 517
  • Infectious Diseases 149
  • Genetics 166
  • Spectroscopy 59
Replace Terri L. South with:
Terri L. South United States
Gary S. Laco United States
Markus Schade United Kingdom
Mats Ökvist Norway
José Gallego Spain
Michael Petukhov Russia
Catherine Mazza France
Cun Xin Wang China
Eugene A. Skripkin United States
Ludmila S. Reshetnikova Russia
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Citations per field
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Citations per year

Countries citing papers authored by Sylvia Eiler

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Eiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999158
2 2001125
3 2013111
4 200188
5 200182
6 200981
7 201266
8 200654
9 201749
10 200738
11 201635
12 201830
13 201326
14 199322
15 200816
16 199215
17 201915
18 199711
19 200911
20 201611

About Sylvia Eiler

Sylvia Eiler is a scholar working on Virology, Spectroscopy, Molecular Biology, Infectious Diseases and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Epigenetics and DNA Methylation (3 papers), Estrogen and related hormone effects (3 papers), HIV/AIDS drug development and treatment (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Virology (150 citations), Molecular Biology (517 citations), Infectious Diseases (149 citations), Genetics (166 citations) and Spectroscopy (59 citations). Sylvia Eiler has collaborated with scholars based in France, Switzerland and United Kingdom. Frequent co-authors include Dino Moras, Marc Ruff, J. C. Thierry, Luc Moulinier, Monique Gangloff, Anne‐Catherine Dock‐Brégeon, Jean‐Marie Wurtz, Jean Gangloff, Gilbert Eriani and Kay Gabriel. Their work appears in journals such as Retrovirology, The EMBO Journal, Journal of Molecular Biology, Journal of Biological Chemistry and Nature Communications.

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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