Anette Wärnmark

930 citations
11 papers · 751 · h-index 9

Impact in

  • Genetics top 5%
    • Estrogen and related hormone effects
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents

Papers in

    • Estrogen and related hormone effects 7
    • Retinoids in leukemia and cellular processes 3
    • Glycosylation and Glycoproteins Research 1

Anette Wärnmark

11 papers receiving 738 citations

Peers

Anette Wärnmark
Comparison fields: 5 of 70
  • Genetics 449
  • Toxicology 40
  • Molecular Biology 441
  • Endocrinology, Diabetes and Metabolism 87
  • Computational Theory and Mathematics 71
Replace Hanne Grøn with:
Hanne Grøn United States
Ashok R. Bapat United States
Jean‐Charles Faye France
J.C. Faye France
Ganesan Srinivasan United States
Ireos Filipuzzi Switzerland
Paul Prendergast United States
Wah-Tung Hum United States
Susan Upchurch United States
Mary D. Francis United States
Anette Wärnmark relative to Hanne Grøn United States Hanne Grøn's profile →
Citations per field
00.5×1.5×
Hanne Grøn · 1×
Citations per year

Countries citing papers authored by Anette Wärnmark

Since Specialization
Citations

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

Fields of papers citing papers by Anette Wärnmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2003213
2 2002152
3 2001110
4 2001103
5 199970
6 200640
7 200026
8 200714
9 200513
10 20066
11 20054

About Anette Wärnmark

Anette Wärnmark is a scholar working on Genetics, Molecular Biology, Oncology, Pharmacology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 751 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Retinoids in leukemia and cellular processes (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Inflammatory mediators and NSAID effects (2 papers), Nuclear Receptors and Signaling (2 papers), HIV Research and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (449 citations), Toxicology (40 citations), Molecular Biology (441 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Computational Theory and Mathematics (71 citations). Anette Wärnmark has collaborated with scholars based in Sweden, Finland and Italy. Frequent co-authors include Jan-Ακε Gustafsson, Eckardt Treuter, Anthony P. H. Wright, Jörg Leers, Roderick E. Hubbard, A.M. Brzozowski, A.C.W. Pike, Torleif Härd, Tova Almlöf and Markku Pelto‐Huikko. Their work appears in journals such as Journal of Biological Chemistry, Molecular Endocrinology, Biochemical and Biophysical Research Communications, Biochemical Journal and Current HIV 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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