Katarina Ejeskär

823 citations
35 papers · 593 · h-index 16

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Cell death mechanisms and regulation 4
    • Neuroblastoma Research and Treatments 21

Katarina Ejeskär

35 papers receiving 585 citations

Peers

Katarina Ejeskär
Comparison fields: 5 of 73
  • Neurology 223
  • Cancer Research 188
  • Molecular Biology 400
  • Oncology 125
  • Genetics 32
Replace Susanne Fransson with:
Susanne Fransson Sweden
Yusuke Suenaga Japan
Zaowen Chen United States
Roma H. Patel United States
Mark W. Zimmerman United States
Gisèle Danglot France
Wendy Fang United States
Kathryn B. Grandinetti United States
Louise James United Kingdom
John M. Krill-Burger United States
Katarina Ejeskär relative to Susanne Fransson Sweden Susanne Fransson's profile →
Citations per field
00.5×1.5×
Susanne Fransson · 1×
Citations per year

Countries citing papers authored by Katarina Ejeskär

Since Specialization
Citations

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

Fields of papers citing papers by Katarina Ejeskär

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200557
2 199855
3 200748
4 200345
5 199940
6 200233
7 200028
8 200627
9 200527
10 201624
11 201221
12 201119
13 199918
14 202017
15 202216
16 201615
17 200414
18 202012
19 201810
20 20218

About Katarina Ejeskär

Katarina Ejeskär is a scholar working on Molecular Biology, Neurology, Cancer Research, Oncology and Epidemiology, having authored 35 papers that have together received 593 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (21 papers), Cancer, Hypoxia, and Metabolism (14 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cell death mechanisms and regulation (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Virus-based gene therapy research (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Neurology (223 citations), Cancer Research (188 citations), Molecular Biology (400 citations), Oncology (125 citations) and Genetics (32 citations). Katarina Ejeskär has collaborated with scholars based in Sweden, Australia and Spain. Frequent co-authors include Tommy Martinsson, Per Kogner, Frida Abel, Susanne Fransson, Cecilia Krona, Helena Carén, Hiroyuki Aburatani, Jonas Abrahamsson, Panayiotis A. Ioannou and Rose‐Marie Sjöberg. Their work appears in journals such as British Journal of Cancer, BMC Cancer, International Journal of Molecular Medicine, Oncogene and PLoS ONE.

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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