Eva Lundström

14 papers receiving 393 citations

Peers

Eva Lundström
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 130
  • Computational Mathematics 4
  • Cancer Research 89
  • Genetics 164
  • Oncology 131
Replace Brigitte Wilczek with:
Brigitte Wilczek Sweden
Judith‐Anne W. Chapman Canada
Xiaopu Yuan United States
Rohaizak Muhammad Malaysia
Christoph Fraune Germany
B. Séradour France
Colin P. Bergstrom United States
Mikinao Oiwa Japan
Marius Wunderle Germany
Eva Lundström relative to Brigitte Wilczek Sweden Brigitte Wilczek's profile →
Citations per field
00.5×1.7×
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

15 of 15 papers shown
#Work
1 1999138
2 2002138
3 201034
4 200226
5 200625
6 201219
7 200815
8 20199
9 20236
10 20156
11 20204
12 20183
13
Vi sätter genus på agendan : Ett deltagarorienterat projekt i en glesbygdskommun
20052
14
Mammographic breast density and the expression of androgen receptor, caspase 3, Ki67 and proteoglycans in pre-menopausal women.
20111
15 19770

About Eva Lundström

Eva Lundström is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 426 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer Risks and Factors (6 papers), Breast Cancer Treatment Studies (5 papers), Digital Radiography and Breast Imaging (4 papers), Prostate Cancer Treatment and Research (1 paper), Electromagnetic Scattering and Analysis (1 paper), Hormonal and reproductive studies (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Computational Mathematics (4 citations), Cancer Research (89 citations), Genetics (164 citations) and Oncology (131 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 Fertility and Sterility, American Journal of Obstetrics and Gynecology, Hormone Molecular Biology and Clinical Investigation, The Journal of the Acoustical Society of America and SIAM Journal on Matrix Analysis and Applications.

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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