Kate Liddiard

1.4k citations
17 papers · 997 · h-index 14

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • DNA Repair Mechanisms 5
    • CRISPR and Genetic Engineering 5
    • Immune cells in cancer 5
    • Galectins and Cancer Biology 2
    • Phagocytosis and Immune Regulation 2

Kate Liddiard

17 papers receiving 982 citations

Peers

Kate Liddiard
Comparison fields: 5 of 86
  • Immunology 401
  • Immunology and Allergy 62
  • Hematology 92
  • Oncology 164
  • Physiology 148
Replace Sukhwinder Singh with:
Sukhwinder Singh United States
Nancy A. Hong United States
Thomas Barthlott United Kingdom
Julien Moretti United States
Ji‐Yang Wang Japan
Stanislav Vukmanović United States
Tomoko Taguchi Japan
Yatin M. Vyas United States
Karen Laky United States
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Citations per field
00.5×2.6×
Sukhwinder Singh · 1×
Citations per year

Countries citing papers authored by Kate Liddiard

Since Specialization
Citations

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

Fields of papers citing papers by Kate Liddiard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002190
2 2001153
3 2008103
4 200594
5 201468
6 201165
7 200952
8 200649
9 201246
10 201545
11 201633
12 200933
13 201131
14 201822
15 20227
16 20215
17 20101

About Kate Liddiard

Kate Liddiard is a scholar working on Molecular Biology, Immunology, Physiology, Hematology and Neurology, having authored 17 papers that have together received 997 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Immune cells in cancer (5 papers), CRISPR and Genetic Engineering (5 papers), Galectins and Cancer Biology (2 papers), Zebrafish Biomedical Research Applications (2 papers), Phagocytosis and Immune Regulation (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology (401 citations), Immunology and Allergy (62 citations), Hematology (92 citations), Oncology (164 citations) and Physiology (148 citations). Kate Liddiard has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David R. Greaves, Philip R. Taylor, Christopher K. Glass, John S. Welch, Laure Escoubet‐Lozach, David B. Sykes, Marcela Rosas, Marella de Bruijn, Duncan M. Baird and Thierry Jaffredo. Their work appears in journals such as The FASEB Journal, Cell Reports, Blood Cells Molecules and Diseases, Experimental Hematology and Nucleic Acids Research.

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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