Kay Klausing

714 citations
7 papers · 460 · h-index 7

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Retinoids in leukemia and cellular processes 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Adipokines, Inflammation, and Metabolic Diseases 2

Kay Klausing

7 papers receiving 443 citations

Peers

Kay Klausing
Comparison fields: 5 of 60
  • Biochemistry 35
  • Endocrinology, Diabetes and Metabolism 90
  • Biochemistry 41
  • Molecular Biology 347
  • Physiology 88
Replace Mireille Challah with:
Mireille Challah France
Anne C. Loweth United Kingdom
Sharon F. Clark Australia
Marina Casimir Switzerland
Caroline A. Wallace United Kingdom
Ranjan Mukherjee United States
Paul Sargeant United Kingdom
Jackie Bodnar United States
Françoise Chevy France
M.M. McGrane United States
Kay Klausing relative to Mireille Challah France Mireille Challah's profile →
Citations per field
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Mireille Challah · 1×
Citations per year

Countries citing papers authored by Kay Klausing

Since Specialization
Citations

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

Fields of papers citing papers by Kay Klausing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2000116
2 1993108
3 200493
4 200167
5 200258
6 198911
7 20037

About Kay Klausing

Kay Klausing is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 7 papers that have together received 460 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Retinoids in leukemia and cellular processes (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Estrogen and related hormone effects (1 paper), Animal Genetics and Reproduction (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Biochemistry (35 citations), Endocrinology, Diabetes and Metabolism (90 citations), Biochemistry (41 citations), Molecular Biology (347 citations) and Physiology (88 citations). Kay Klausing has collaborated with scholars based in United States and Germany. Frequent co-authors include Rosemary M. Cesario, James Bilakovics, Mark D. Leibowitz, Pamela L. Mellon, Lars E. Theill, Claudia Stauber, Katsuyuki Yaginuma, Michael Karin, James R. Paterniti and Dale E. Mais. Their work appears in journals such as Molecular Endocrinology, Endocrinology, Journal of Biological Chemistry, Genes & Development and Biochemistry.

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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