Séverine Bär

1.1k citations
20 papers · 672 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Virus-based gene therapy research 5
    • Genetic and Kidney Cyst Diseases 2

Séverine Bär

18 papers receiving 667 citations

Peers

Séverine Bär
Comparison fields: 5 of 81
  • Virology 59
  • Cell Biology 157
  • Infectious Diseases 139
  • Genetics 149
  • Molecular Biology 366
Replace Hideo Fukuhara with:
Hideo Fukuhara Japan
Janice Pennington United States
Daniel Püntener Switzerland
Dawn Nowlin United States
Paula Upla Finland
C Kondor-Koch Germany
Olaf Rosorius Germany
G Russ Slovakia
Vanessa Zuzarte‐Luís Portugal
Britta Brügger Germany
Séverine Bär relative to Hideo Fukuhara Japan Hideo Fukuhara's profile →
Citations per field
00.5×1.6×
Hideo Fukuhara · 1×
Citations per year

Countries citing papers authored by Séverine Bär

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Bär

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017152
2 2015109
3 201558
4 200357
5 200853
6 201640
7 201338
8 200638
9 200823
10 200922
11 200516
12 201915
13 201513
14 201613
15 201010
16 201910
17 20074
18 20151
19 20250
20 20150

About Séverine Bär

Séverine Bär is a scholar working on Molecular Biology, Genetics, Immunology, Cell Biology and Infectious Diseases, having authored 20 papers that have together received 672 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cellular transport and secretion (4 papers), Parvovirus B19 Infection Studies (3 papers), HIV Research and Treatment (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Glycosylation and Glycoproteins Research (2 papers), Vector-Borne Animal Diseases (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (59 citations), Cell Biology (157 citations), Infectious Diseases (139 citations), Genetics (149 citations) and Molecular Biology (366 citations). Séverine Bär has collaborated with scholars based in France, Germany and Australia. Frequent co-authors include Sylvie Friant, Johan‐Owen De Craene, Jürg P. F. Nüesch, Jean Rommelaere, Marc Alizon, Laurent Daeffler, Sylvie Lachmann, Ayato Takada, Yoshihiro Kawaoka and Pantelis Poumbourios. Their work appears in journals such as Journal of Virology, PLoS Pathogens, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications and Human Mutation.

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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