Daniel Biljes

730 citations
5 papers · 530 · h-index 4

Impact in

    • Cancer-related molecular mechanisms research
    • Zebrafish Biomedical Research Applications
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Immune Cell Function and Interaction 2
    • Inflammation biomarkers and pathways 1
    • Immune Response and Inflammation 1
    • IL-33, ST2, and ILC Pathways 1
    • Adipose Tissue and Metabolism 1
    • Asthma and respiratory diseases 1

Daniel Biljes

5 papers receiving 530 citations

Peers

Daniel Biljes
Comparison fields: 5 of 72
  • Cancer Research 72
  • Cell Biology 73
  • Molecular Biology 293
  • Neurology 31
  • Immunology 77
Replace Krista Heinolainen with:
Krista Heinolainen Finland
Sana S. Hasan Germany
Chantal Delisle Canada
Shalina Taylor United States
Maiko Yamaji United Kingdom
Tomohiro Iba Japan
Ikue Tai-Nagara Japan
Miguel Sáinz‐Jaspeado Spain
Johanna Lähteenvuo Finland
Qun Zeng Singapore
Daniel Biljes relative to Krista Heinolainen Finland Krista Heinolainen's profile →
Citations per field
00.5×3.5×
Krista Heinolainen · 1×
Citations per year

Countries citing papers authored by Daniel Biljes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Biljes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2017301
2 2014170
3 201734
4 201524
5 20171

About Daniel Biljes

Daniel Biljes is a scholar working on Immunology, Physiology, Molecular Biology, Health, Toxicology and Mutagenesis and Emergency Medical Services, having authored 5 papers that have together received 530 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (2 papers), Effects and risks of endocrine disrupting chemicals (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Adipose Tissue and Metabolism (1 paper), Inflammation biomarkers and pathways (1 paper), Asthma and respiratory diseases (1 paper), Immune Response and Inflammation (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Cancer Research (72 citations), Cell Biology (73 citations), Molecular Biology (293 citations), Neurology (31 citations) and Immunology (77 citations). Daniel Biljes has collaborated with scholars based in Germany, Netherlands and Japan. Frequent co-authors include Ralf H. Adams, Susana Rocha, Tilman Borggrefe, Urs H. Langen, Takashi Nagasawa, Hongryeol Park, Napoleone Ferrara, Frank Berkenfeld, Manuel Ehling and Mara E. Pitulescu. Their work appears in journals such as Circulation Research, Nature Cell Biology, PLoS ONE and PubMed.

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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