Per Eker

567 citations
32 papers · 468 · h-index 13

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Biochemical and Molecular Research 6
    • PI3K/AKT/mTOR signaling in cancer 3
    • Immune Cell Function and Interaction 4
    • Toxin Mechanisms and Immunotoxins 4
    • Immunotherapy and Immune Responses 3

Per Eker

32 papers receiving 448 citations

Peers

Per Eker
Comparison fields: 5 of 77
  • Cell Biology 120
  • Physiology 28
  • Molecular Biology 302
  • Cancer Research 59
  • Immunology 77
Replace Jesse L. Bobbitt with:
Jesse L. Bobbitt United States
N Takami Japan
T Seguchi Japan
Murielle Glondu-Lassis France
Lydie Tichonicky France
Barbara Lamb United States
Jeremy Copp United States
Jimena Cannata Argentina
Barbara Zunino France
Jun Kuai United States
Per Eker relative to Jesse L. Bobbitt United States Jesse L. Bobbitt's profile →
Citations per field
00.5×3.1×
Jesse L. Bobbitt · 1×
Citations per year

Countries citing papers authored by Per Eker

Since Specialization
Citations

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

Fields of papers citing papers by Per Eker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Per Eker, 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 Per Eker Line = papers co-authored together Per Eker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199470
2 196560
3 199547
4 199631
5 196430
6 196624
7 200024
8 196824
9 197422
10 196518
11 198016
12 200012
13 196912
14
Assay for initiators and promoters of carcinogenesis based on attachment-independent survival of cells in aggregates.
19839
15 19828
16 19867
17 19716
18 19726
19 19686
20 19656

About Per Eker

Per Eker is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Cell Biology, having authored 32 papers that have together received 468 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Cellular transport and secretion (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Immune Cell Function and Interaction (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Immunotherapy and Immune Responses (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cell Biology (120 citations), Physiology (28 citations), Molecular Biology (302 citations), Cancer Research (59 citations) and Immunology (77 citations). Per Eker has collaborated with scholars based in Norway, Germany and Denmark. Frequent co-authors include Kirsten Sandvig, Bo van Deurs, Pernille Holm, Alexander Pihl, Tore Sanner, Øystein Garred, Alicia Llorente, Ole C. Ingebretsen, Edgar Rivedal and Martin Stahlhut. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Biochemical Pharmacology, Cancer Letters and Journal of Cell Science.

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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