Eva Glud

696 citations
15 papers · 599 · h-index 13

Impact in

    • Ovarian cancer diagnosis and treatment
    • Cancer Risks and Factors
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

Eva Glud

15 papers receiving 569 citations

Peers

Eva Glud
Comparison fields: 5 of 31
  • Reproductive Medicine 251
  • Oncology 70
  • Endocrinology, Diabetes and Metabolism 20
  • Genetics 9
  • Cancer Research 9
Replace Gerhard Aum�ller with:
Gerhard Aum�ller Germany
Susanne Schüler Germany
Hiroki Nakata Japan
Alina Rembiszewska Poland
Shannon Diane MacLaughlan United States
Joon T. Park United States
Raluca A. Budiu United States
Claudia Martins Canada
Katherine V. Clark-Knowles Canada
Inès Belaroussi France
Eva Glud relative to Gerhard Aum�ller Germany Gerhard Aum�ller's profile →
Citations per field
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Gerhard Aum�ller · 1×
Citations per year

Countries citing papers authored by Eva Glud

Since Specialization
Citations

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

Fields of papers citing papers by Eva Glud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003118
2 2004100
3 200378
4 200649
5 200643
6 199839
7
The prognostic value of plasma soluble urokinase plasminogen activator receptor (suPAR) levels in stage III ovarian cancer patients.
200432
8
Distribution of p53 codon 72 polymorphisms in ovarian tumour patients and their prognostic significance in ovarian cancer patients.
200229
9 200225
10 201323
11 200321
12 200416
13 200514
14
Evaluation of a polymorphism in intron 2 of the p53 gene in ovarian cancer patients. From the Danish "Malova" Ovarian Cancer Study.
200311
15
[P-pills and risk of breast cancer. A review of studies published 1970-1990].
19921

About Eva Glud

Eva Glud is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Oncology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 599 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Menopause: Health Impacts and Treatments (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Reproductive Medicine (251 citations), Oncology (70 citations), Endocrinology, Diabetes and Metabolism (20 citations), Genetics (9 citations) and Cancer Research (9 citations). Eva Glud has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Susanne K. Kjær, Estrid Vilma Solyom Høgdall, Claus Kim Høgdall, Jan Blaakær, Lise Hanne Christensen, Johannes E. Bock, Kirsten Frederiksen, Birthe Lykke Thomsen, Louise Annette Brinton and Julia Sidenius Johansen. Their work appears in journals such as Cancer Causes & Control, Gynecologic Oncology, Cancer, Cancer Epidemiology Biomarkers & Prevention and Apmis.

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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