Anna Klaus

629 citations
13 papers · 475 · h-index 10

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Single-cell and spatial transcriptomics 3
    • Metabolism, Diabetes, and Cancer 3
    • PI3K/AKT/mTOR signaling in cancer 1
    • Immune cells in cancer 3
    • Immune Response and Inflammation 2

Anna Klaus

12 papers receiving 472 citations

Peers

Anna Klaus
Comparison fields: 5 of 82
  • Cell Biology 184
  • Immunology 154
  • Hematology 68
  • Molecular Biology 236
  • Physiology 15
Replace Paola Bet with:
Paola Bet Italy
Eliana B Gómez United States
Tim Van Acker United Kingdom
Victoria E. B. Hipolito Canada
Clare Dempsey United Kingdom
Richard H. Sohn United States
Hakmo Lee South Korea
N Takami Japan
Carolina Gonzalez-Aller United States
Anjana Rao United States
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Citations per field
00.5×10×15×20×24.5×
Paola Bet · 1×
Citations per year

Countries citing papers authored by Anna Klaus

Since Specialization
Citations

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

Fields of papers citing papers by Anna Klaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201890
2 201182
3 201673
4 201464
5 201359
6 202032
7 201021
8 201717
9 201415
10 201213
11 20228
12 20111
13 20250

About Anna Klaus

Anna Klaus is a scholar working on Molecular Biology, Immunology, Cell Biology, Surgery and Hematology, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Single-cell and spatial transcriptomics (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Immune cells in cancer (3 papers), Immune Response and Inflammation (2 papers), Pancreatic function and diabetes (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Cell Biology (184 citations), Immunology (154 citations), Hematology (68 citations), Molecular Biology (236 citations) and Physiology (15 citations). Anna Klaus has collaborated with scholars based in Netherlands, France and Switzerland. Frequent co-authors include Catherine Robin, Uwe Schlattner, Jean-Charles Boisset, Laurent Yvernogeau, Małgorzata Tokarska-Schlattner, Laurence Kay, Rita Guzun, Ulrich A. Maus, Ines Hahn and Tobias Welte. Their work appears in journals such as Blood, Biochimica et Biophysica Acta (BBA) - Bioenergetics, Infection and Immunity, Developmental Biology and Cell Reports.

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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