Anna Waldhuber

432 citations
9 papers · 357 · h-index 9

Impact in

    • Escherichia coli research studies
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

    • Immune Response and Inflammation 4
    • interferon and immune responses 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 1
    • Inflammasome and immune disorders 2
    • Bacterial biofilms and quorum sensing 1

Anna Waldhuber

9 papers receiving 353 citations

Peers

Anna Waldhuber
Comparison fields: 5 of 69
  • Endocrinology 57
  • Immunology 174
  • Microbiology 44
  • Small Animals 32
  • Urology 18
Replace Martin Bernheiden with:
Martin Bernheiden Germany
José A. Gutiérrez‐Pabello Mexico
Emanuela Palla Italy
T Witthöft Germany
Isabella Pesce Italy
Carolyn M. Buckwalter Canada
Marc Röhm Sweden
Giacomo Signorino Italy
Sara Valentini Italy
Lisa N. Henning United States
Anna Waldhuber relative to Martin Bernheiden Germany Martin Bernheiden's profile →
Citations per field
00.5×10.7×
Martin Bernheiden · 1×
Citations per year

Countries citing papers authored by Anna Waldhuber

Since Specialization
Citations

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

Fields of papers citing papers by Anna Waldhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201372
2 201366
3 201661
4 201437
5 201731
6 201628
7 201528
8 201320
9 201714

About Anna Waldhuber

Anna Waldhuber is a scholar working on Immunology, Molecular Biology, Endocrinology, Infectious Diseases and Epidemiology, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Immune Response and Inflammation (4 papers), Inflammasome and immune disorders (2 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers), Amoebic Infections and Treatments (1 paper), Immunotherapy and Immune Responses (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Endocrinology (57 citations), Immunology (174 citations), Microbiology (44 citations), Small Animals (32 citations) and Urology (18 citations). Anna Waldhuber has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Thomas Miethke, Franziska Römmler, Christine Cirl, Tina Müller, Greg A. Snyder, Tsan Sam Xiao, Nathaniel W. Snyder, Susanne Dürr, Jiansheng Jiang and Catharina Svanborg. Their work appears in journals such as Research in Microbiology, Cell Reports, The Journal of Immunology, Journal of Clinical Investigation 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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