Eva Widing

507 citations
10 papers · 293 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Pancreatic and Hepatic Oncology Research

Papers in

Eva Widing

9 papers receiving 288 citations

Peers

Eva Widing
Comparison fields: 5 of 50
  • Hepatology 121
  • Oncology 107
  • Cancer Research 49
  • Neurology 32
  • Pediatrics, Perinatology and Child Health 39
Replace R. Erttmann with:
R. Erttmann Germany
Diarmaid D. Houlihan Ireland
Jeannine Garnett United States
Lauren Weintraub United States
Hilda Haynes United States
Pasquale Barbaro Australia
Robert Welschinger Australia
Marion Müller Germany
Galam Leem South Korea
Gonzalo Tapia Rico Australia
Eva Widing relative to R. Erttmann Germany R. Erttmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Widing

Since Specialization
Citations

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

Fields of papers citing papers by Eva Widing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009205
2 200430
3 201220
4 199213
5 199112
6 20116
7
[Children with cancer and their use of natural products].
20075
8
Bruk av naturpreparater og kosttilskudd hos kreftsyke barn i Norge
20071
9 19911
10 20160

About Eva Widing

Eva Widing is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 10 papers that have together received 293 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Chromatin Remodeling and Cancer (2 papers), Cancer Mechanisms and Therapy (2 papers), CAR-T cell therapy research (2 papers), Complementary and Alternative Medicine Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (121 citations), Oncology (107 citations), Cancer Research (49 citations), Neurology (32 citations) and Pediatrics, Perinatology and Child Health (39 citations). Eva Widing has collaborated with scholars based in Norway, Croatia and Switzerland. Frequent co-authors include J. Plaschkes, Gordon A. MacKinlay, József Zsíros, Laurence Brugières, Véronique Laithier, Bruce Morland, Beatriz de Camargo, Jon Pritchard, Giorgio Perilongo and Piotr Czauderna. Their work appears in journals such as Blood, New England Journal of Medicine, Clinical & Experimental Immunology, Neuro-Oncology and Genes Chromosomes and Cancer.

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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