Ingrid Øra

79 papers receiving 2.6k citations

Peers

Ingrid Øra
Comparison fields: 5 of 104
  • Neurology 833
  • Cancer Research 659
  • Molecular Biology 1.4k
  • Oncology 464
  • Genetics 134
Replace Béatrice Parfait with:
Béatrice Parfait France
R P Castleberry United States
Peter E. Zage United States
Agnès Ribeiro France
Anthony P. Heaney United States
Jerry J. Jaboin United States
Lin Pei United States
Klaus Kaserer Austria
Barbara Banelli Italy
Levi J. Beverly United States
Ingrid Øra relative to Béatrice Parfait France Béatrice Parfait's profile →
Citations per field
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Béatrice Parfait · 1×
Citations per year

Countries citing papers authored by Ingrid Øra

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Øra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009369
2 2002314
3 2010146
4 2013141
5 200887
6 201078
7 200765
8 201063
9 201462
10 201161
11 200057
12 200455
13 201154
14
The basic helix-loop-helix transcription factor dHAND, a marker gene for the developing human sympathetic nervous system, is expressed in both high- and low-stage neuroblastomas.
199953
15 201847
16 201146
17 200741
18 200339
19 200735
20 201234

About Ingrid Øra

Ingrid Øra is a scholar working on Neurology, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Oncology, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (41 papers), Cancer, Hypoxia, and Metabolism (10 papers), Childhood Cancer Survivors' Quality of Life (8 papers), Glioma Diagnosis and Treatment (7 papers), Virus-based gene therapy research (6 papers), Renal and related cancers (5 papers), Sarcoma Diagnosis and Treatment (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Neurology (833 citations), Cancer Research (659 citations), Molecular Biology (1.4k citations), Oncology (464 citations) and Genetics (134 citations). Ingrid Øra has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Sven Påhlman, Rogier Versteeg, Jan Köster, Angelika Eggert, David Gisselsson, Håkan Axelson, Annika Jögi, Lorenz Poellinger, Helén Nilsson and Yuichi Makino. Their work appears in journals such as Genes Chromosomes and Cancer, International Journal of Cancer, Cancer Letters, Pediatric Blood & Cancer and Journal of Clinical Oncology.

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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