Eva Lundström

13 papers receiving 388 citations

Peers

Eva Lundström
Comparison fields: 5 of 63
  • Cancer Research 136
  • Endocrinology, Diabetes and Metabolism 140
  • Oncology 217
  • Genetics 210
  • Pathology and Forensic Medicine 127
Replace Brigitte Wilczek with:
Brigitte Wilczek Sweden
Lars Erik Krag Norway
I Nenci Italy
Xiaopu Yuan United States
B. Séradour France
Roswitha Kammler Switzerland
Diane S. Allen United Kingdom
A. Tejerina Spain
Markus Pasterk France
Robert J. Irwin United States
Eva Lundström relative to Brigitte Wilczek Sweden Brigitte Wilczek's profile →
Citations per field
00.5×1.6×
Brigitte Wilczek · 1×
Citations per year

Countries citing papers authored by Eva Lundström

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999138
2 2002137
3 201034
4 200226
5 200624
6 201219
7 200815
8 20198
9 20156
10 20235
11 20204
12 20183
13
Mammographic breast density and the expression of androgen receptor, caspase 3, Ki67 and proteoglycans in pre-menopausal women.
20111
14 19770

About Eva Lundström

Eva Lundström is a scholar working on Oncology, Cancer Research, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 420 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Cancer Risks and Factors (8 papers), Estrogen and related hormone effects (7 papers), Breast Lesions and Carcinomas (4 papers), Digital Radiography and Breast Imaging (2 papers), Hearing Loss and Rehabilitation (1 paper), Prostate Cancer Treatment and Research (1 paper) and Electromagnetic Scattering and Analysis (1 paper). The work is most often cited by research in Cancer Research (136 citations), Endocrinology, Diabetes and Metabolism (140 citations), Oncology (217 citations), Genetics (210 citations) and Pathology and Forensic Medicine (127 citations). Eva Lundström has collaborated with scholars based in Sweden and Belgium. Frequent co-authors include Gunnar Söderqvist, Bo von Schoultz, Brigitte Wilczek, Edward Azavedo, Gunilla Svane, Mirjam Mol-Arts, Wendy M. Kersemaekers, Lars Eldén, Peter Conner and Karin Leifland. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Hormone Molecular Biology and Clinical Investigation, Fertility and Sterility, The Journal of the Acoustical Society of America and Maturitas.

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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