Eva Kaiser

870 citations
16 papers · 713 indexed · h-index 11

Impact in

  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins
    • Clostridium difficile and Clostridium perfringens research
    • Antimicrobial Resistance in Staphylococcus

Papers in

    • Clostridium difficile and Clostridium perfringens research 10
    • Antimicrobial Resistance in Staphylococcus 2
    • Toxin Mechanisms and Immunotoxins 8
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1

Eva Kaiser

15 papers receiving 710 citations

Peers

Eva Kaiser
Comparison fields: 5 of 79
  • Immunology 316
  • Infectious Diseases 251
  • Immunology and Allergy 44
  • Molecular Biology 311
  • Microbiology 25
Replace Patricia A. Lodge with:
Patricia A. Lodge United States
Taku Kuwabara Japan
Elena Tritarelli Italy
Konstantin Neumann Germany
Fabienne Vernejoul France
T J Lawley United States
A. Nicole Desch United States
Dmitry J. Liepinsh United States
Halla Björnsdóttir Sweden
Krisztina Futosi Hungary
Eva Kaiser relative to Patricia A. Lodge United States Patricia A. Lodge's profile →
Citations per field
00.5×3.3×
Patricia A. Lodge · 1×
Citations per year

Countries citing papers authored by Eva Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Eva Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1992289
2 201175
3 200963
4 201052
5 201249
6 200946
7 201436
8 200927
9 200620
10 199419
11 200716
12 20179
13 19928
14 20203
15 20101
16 20250

About Eva Kaiser

Eva Kaiser is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Neurology and Surgery, having authored 16 papers that have together received 713 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (10 papers), Toxin Mechanisms and Immunotoxins (8 papers), Signaling Pathways in Disease (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), RNA and protein synthesis mechanisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (316 citations), Infectious Diseases (251 citations), Immunology and Allergy (44 citations), Molecular Biology (311 citations) and Microbiology (25 citations). Eva Kaiser has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Holger Barth, Revati Shreeniwas, Mehmet Çağrı Karakurum, W R Benjamin, B A Wolitzky, Christine R. Norton, J Brett, David J. Pinsky, S Koga and Klaus Aktories. Their work appears in journals such as Cellular Microbiology, Infection and Immunity, HIV Medicine, Journal of Molecular Evolution and Journal of Biological Chemistry.

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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