Maria Perander

4.6k citations
20 papers · 3.7k indexed · 1 hit paper · h-index 17

Impact in

    • Autophagy in Disease and Therapy
  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Cancer-related molecular mechanisms research 3
    • Cancer, Hypoxia, and Metabolism 2
    • Cancer Cells and Metastasis 4

Maria Perander

20 papers receiving 3.7k citations

Hit Papers

p62/SQSTM1 forms protein aggregates degraded by autophagy and has a protective effect on huntingtin-induced cell death 2005 · 2.7k citations
2.7k200520262012201950010001.5k2.0k2.5k

Peers

Maria Perander
Comparison fields: 5 of 111
  • Epidemiology 2.2k
  • Physiology 291
  • Cell Biology 804
  • Molecular Biology 2.1k
  • Geriatrics and Gerontology 114
Replace Jiefei Geng with:
Jiefei Geng United States
Noor Gammoh United Kingdom
Akito Takamura Japan
Angelika S. Rambold Germany
Hai‐Xin Yuan China
Ezgi Tasdemir France
Thomas Farkas Denmark
Flavie Strappazzon Italy
Daniel Meley France
Francesco Vetrini United States
Maria Perander relative to Jiefei Geng United States Jiefei Geng's profile →
Citations per field
00.5×
Jiefei Geng · 1×
Citations per year

Countries citing papers authored by Maria Perander

Since Specialization
Citations

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

Fields of papers citing papers by Maria Perander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202213
3 202147
4 202080
5 201875
6 201854
7 20185
8 201747
9 201726
10 201624
11 201322
12 200938
13 200825
14 200821
15 200663
16
p62/SQSTM1 forms protein aggregates degraded by autophagy and has a protective effect on huntingtin-induced cell death
Hit paper breakdown →
20052693
17 2003310
18 200158
19 199767
20 199665

About Maria Perander

Maria Perander is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Allergy and Cell Biology, having authored 20 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Melanoma and MAPK Pathways (6 papers), Cancer Cells and Metastasis (4 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Extracellular vesicles in disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Epidemiology (2.2k citations), Physiology (291 citations), Cell Biology (804 citations), Molecular Biology (2.1k citations) and Geriatrics and Gerontology (114 citations). Maria Perander has collaborated with scholars based in Norway, United Kingdom and Iceland. Frequent co-authors include Terje Johansen, Geir Bjørkøy, Aud Øvervatn, Heidi Outzen, Trond Lamark, Harald Stenmark, Andreas Brech, Erik Knutsen, Kurt Kristiansen and Ole Morten Seternes. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Oncology, Scientific Reports, PLoS ONE and The Journal of Cell Biology.

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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