Maria Hägg

682 citations
8 papers · 568 · h-index 7

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Cancer therapeutics and mechanisms 2
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 1
    • Cancer, Hypoxia, and Metabolism 4

Maria Hägg

8 papers receiving 559 citations

Peers

Maria Hägg
Comparison fields: 5 of 83
  • Cancer Research 120
  • Oncology 155
  • Molecular Biology 378
  • Toxicology 18
  • Cell Biology 77
Replace Yuzhu Zheng with:
Yuzhu Zheng China
Changshan Yang China
Xiao Zhi China
Jun-Ying Zhou United States
Ravi N. Vellanki Canada
Rana Elkholi United States
Ayse Batova United States
Edward Stuttfeld Switzerland
Martine Schmitz Luxembourg
Yiming Lai China
Maria Hägg relative to Yuzhu Zheng China Yuzhu Zheng's profile →
Citations per field
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Yuzhu Zheng · 1×
Citations per year

Countries citing papers authored by Maria Hägg

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hägg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006186
2 2012144
3 2002107
4 200454
5 200537
6 200521
7 201113
8
EGF and dextran-conjugated EGF induces differential phosphorylation of the EGF receptor.
20026

About Maria Hägg

Maria Hägg is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Epidemiology, having authored 8 papers that have together received 568 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cell death mechanisms and regulation (4 papers), Cancer therapeutics and mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Medical Imaging Techniques and Applications (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Cancer Research (120 citations), Oncology (155 citations), Molecular Biology (378 citations), Toxicology (18 citations) and Cell Biology (77 citations). Maria Hägg has collaborated with scholars based in Sweden, Italy and France. Frequent co-authors include Stig Linder, Maria C. Shoshan, Maria Berndtsson, Aleksandra Mandic Havelka, Theocharis Panaretakis, Stefan Wennström, Slavica Brnjic, Maria Lucia Marino, Takayuki Ueno and Patrice Codogno. Their work appears in journals such as Molecular Cancer Therapeutics, Investigational New Drugs, FEBS Letters, Journal of Biological Chemistry and Experimental Cell 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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