Daniela Lener

928 citations
18 papers · 620 · h-index 12

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 3
    • DNA and Nucleic Acid Chemistry 2
    • HIV/AIDS drug development and treatment 11

Daniela Lener

18 papers receiving 613 citations

Peers

Daniela Lener
Comparison fields: 5 of 50
  • Virology 355
  • Infectious Diseases 279
  • Molecular Biology 412
  • Epidemiology 91
  • Genetics 16
Replace Mirjana Persaud with:
Mirjana Persaud United States
Valérie Tanchou France
Hongling Xiao United States
Linda Yen United States
Emilie Battivelli United States
Veerle Van Eygen Belgium
Viktoriya Dubrovskaya United States
Richard Trauger United States
Kevin Groen Netherlands
Céline Didier France
Daniela Lener relative to Mirjana Persaud United States Mirjana Persaud's profile →
Citations per field
00.5×4.8×
Mirjana Persaud · 1×
Citations per year

Countries citing papers authored by Daniela Lener

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013131
2 1998116
3 199880
4 200266
5 200452
6 200426
7 202122
8 200222
9 200321
10 200816
11 201812
12 200512
13 201611
14 200510
15 19959
16 20226
17 20205
18 20153

About Daniela Lener

Daniela Lener is a scholar working on Molecular Biology, Infectious Diseases, Virology, Epidemiology and Genetics, having authored 18 papers that have together received 620 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (11 papers), HIV Research and Treatment (11 papers), RNA and protein synthesis mechanisms (4 papers), Cytomegalovirus and herpesvirus research (3 papers), RNA Research and Splicing (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Virology (355 citations), Infectious Diseases (279 citations), Molecular Biology (412 citations), Epidemiology (91 citations) and Genetics (16 citations). Daniela Lener has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Stuart F.J. Le Grice, Jean‐Luc Darlix, Valérie Tanchou, Didier Décimo, Bernárd P. Roques, J L Darlix, S. Jacquenet, Christine Péchoux, Michèle Ottmann and Véronique Rogemond. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, FEBS Letters, The International Journal of Biochemistry & Cell Biology and Blood.

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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