Bianca Seigel

989 citations
6 papers · 507 · h-index 5

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Galectins and Cancer Biology 1
    • Immunotherapy and Immune Responses 1
    • Hepatitis C virus research 2

Bianca Seigel

6 papers receiving 503 citations

Peers

Bianca Seigel
Comparison fields: 5 of 52
  • Hepatology 163
  • Immunology 292
  • Virology 48
  • Oncology 119
  • Epidemiology 124
Replace Manuela Meyer with:
Manuela Meyer Germany
Takehisa Kaneko Japan
Noha G. Bader El Din Egypt
Sarah Goddard United Kingdom
Takehito Imado Japan
G. De Petrillo Italy
Tamako Ikeda Japan
Helene Will Germany
Ashanti Dantanarayana Australia
Zheng D. Morrison United States
Bianca Seigel relative to Manuela Meyer Germany Manuela Meyer's profile →
Citations per field
00.5×3.4×
Manuela Meyer · 1×
Citations per year

Countries citing papers authored by Bianca Seigel

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Seigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Bianca Seigel, 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 Bianca Seigel Line = papers co-authored together Bianca Seigel links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010302
2 2012142
3 201236
4 201217
5 20099
6 20131

About Bianca Seigel

Bianca Seigel is a scholar working on Immunology, Hepatology, Infectious Diseases, Virology and Oncology, having authored 6 papers that have together received 507 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Hepatitis C virus research (2 papers), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), Antifungal resistance and susceptibility (1 paper), Hepatitis B Virus Studies (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Hepatology (163 citations), Immunology (292 citations), Virology (48 citations), Oncology (119 citations) and Epidemiology (124 citations). Bianca Seigel has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Robert Thimme, Hubert E. Blum, Bertram Bengsch, Hanspeter Pircher, Jörg Timm, Martin Kuntz, Marianne Ruhl, Tobias Flecken, Volker Lohmann and Ralf Bartenschlager. Their work appears in journals such as Gastroenterology, Journal of Hepatology, The Journal of Immunology, Journal of General Virology and PLoS Pathogens.

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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