Vera Helbl

611 citations
12 papers · 505 · h-index 12

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 4
    • RNA Interference and Gene Delivery 3
    • Genomics and Chromatin Dynamics 3
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Virus-based gene therapy research 3
    • Bacterial Genetics and Biotechnology 2

Vera Helbl

12 papers receiving 501 citations

Peers

Vera Helbl
Comparison fields: 5 of 60
  • Genetics 246
  • Molecular Medicine 29
  • Molecular Biology 399
  • Biophysics 18
  • Ecology 50
Replace Nikki A. Copeland with:
Nikki A. Copeland United Kingdom
Khatira Anwari Australia
Damien Brégeon France
Jeff Finkelstein United States
P. Shannon Pendergrast United States
W. Ankenbauer Germany
James A. McClellan United Kingdom
Seung Hwan Lee South Korea
Manuel S. Valenzuela United States
Vera Helbl relative to Nikki A. Copeland United Kingdom Nikki A. Copeland's profile →
Citations per field
00.5×1.5×1.8×
Nikki A. Copeland · 1×
Citations per year

Countries citing papers authored by Vera Helbl

Since Specialization
Citations

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

Fields of papers citing papers by Vera Helbl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Vera Helbl, 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 Vera Helbl Line = papers co-authored together Vera Helbl links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199994
2 199984
3 199557
4 199841
5 199141
6 199237
7 200034
8 199834
9 199731
10 199929
11 199512
12 199111

About Vera Helbl

Vera Helbl is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Organic Chemistry, having authored 12 papers that have together received 505 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Genomics and Chromatin Dynamics (3 papers), Virus-based gene therapy research (3 papers), Bacterial Genetics and Biotechnology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (246 citations), Molecular Medicine (29 citations), Molecular Biology (399 citations), Biophysics (18 citations) and Ecology (50 citations). Vera Helbl has collaborated with scholars based in Germany. Frequent co-authors include Wolfgang Hillen, Stefanie Urlinger, Ralf Baumeister, T. Lederer, Katharina Förster, Gerhard Müller, Udo Baron, Dirk Schnappinger, Manfred Gossen and Hermann Bujard. Their work appears in journals such as Journal of Molecular Biology, Gene, Nucleic Acids Research, The EMBO Journal and Proceedings of the National Academy of Sciences.

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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