Aive Åhgren

683 citations
14 papers · 560 · h-index 12

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • TGF-β signaling in diseases 2
    • Congenital heart defects research 2
    • Pancreatic and Hepatic Oncology Research 2

Aive Åhgren

14 papers receiving 552 citations

Peers

Aive Åhgren
Comparison fields: 5 of 71
  • Developmental Neuroscience 47
  • Immunology and Allergy 32
  • Molecular Biology 348
  • Cancer Research 69
  • Cellular and Molecular Neuroscience 71
Replace José Lastiri with:
José Lastiri Argentina
George Steele-Perkins United States
Barbara Costa Germany
Chiayeng Wang United States
Susan J. Hines United States
Barbara Ingold Germany
Ksenija Bernau United States
Masatoshi Nishizawa Japan
Judeth K. McGann United States
E. F. Munoz United States
Aive Åhgren relative to José Lastiri Argentina José Lastiri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aive Åhgren

Since Specialization
Citations

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

Fields of papers citing papers by Aive Åhgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2000131
2 200669
3 200766
4 199556
5 200940
6 201940
7 200937
8 199631
9 200423
10
Characterization of platelet-derived growth factor (PDGF) action on a mouse neuroblastoma cell line, NB41, by introduction of an antisense PDGF beta-receptor RNA.
199720
11 200716
12 199811
13 201711
14 20109

About Aive Åhgren

Aive Åhgren is a scholar working on Molecular Biology, Oncology, Hematology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 560 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Nerve injury and regeneration (2 papers), TGF-β signaling in diseases (2 papers), Genetic factors in colorectal cancer (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Platelet Disorders and Treatments (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Developmental Neuroscience (47 citations), Immunology and Allergy (32 citations), Molecular Biology (348 citations), Cancer Research (69 citations) and Cellular and Molecular Neuroscience (71 citations). Aive Åhgren has collaborated with scholars based in Sweden, Norway and United States. Frequent co-authors include Carl‐Henrik Heldin, Rainer Heuchel, Peter ten Dijke, Carina Hellberg, Per Odin, Olle Lindvall, Keiko Funa, Nina S. Funa, Peetra U. Magnusson and Lena Claesson‐Welsh. Their work appears in journals such as Journal of Biological Chemistry, Experimental Brain Research, Molecular Biology of the Cell, The Journal of Immunology and Melanoma 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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