Eva Hellmén

38 papers receiving 1.3k citations

Peers

Eva Hellmén
Comparison fields: 5 of 87
  • Small Animals 328
  • Pulmonary and Respiratory Medicine 612
  • Equine 24
  • Oncology 297
  • Genetics 297
Replace María Dolores Pérez Alenza with:
María Dolores Pérez Alenza Spain
Yongbaek Kim South Korea
Xiantang Li United States
Ching‐Jin Chang Taiwan
Krzysztof Flisikowski Germany
Matias Pardo United States
Bernard Sass United States
Olga Witkowska‐Piłaszewicz Poland
Frank Scott United States
Silvia I. Vanzulli Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Eva Hellmén

Since Specialization
Citations

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

Fields of papers citing papers by Eva Hellmén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996166
2 1993136
3 2013132
4 201692
5 199785
6 201451
7
P53 mutations in mammary tumor cell lines and corresponding tumor tissues in the dog.
199750
8 198949
9 199247
10 201743
11 200040
12 198835
13
Transcriptomic profile of two canine mammary cancer cell lines with different proliferative and anti-apoptotic potential.
200930
14 200629
15 201129
16 198929
17 199928
18 200324
19 199823
20 200522

About Eva Hellmén

Eva Hellmén is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Small Animals and Genetics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Veterinary Oncology Research (21 papers), Cancer Cells and Metastasis (9 papers), Infectious Diseases and Mycology (9 papers), Hedgehog Signaling Pathway Studies (7 papers), Cancer Research and Treatments (4 papers), Virus-based gene therapy research (4 papers), Tumors and Oncological Cases (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Small Animals (328 citations), Pulmonary and Respiratory Medicine (612 citations), Equine (24 citations), Oncology (297 citations) and Genetics (297 citations). Eva Hellmén has collaborated with scholars based in Sweden, Netherlands and Poland. Frequent co-authors include A. Lindgren, Maria Möller, Leif Andersson, Rajiv Chaudhary, Bjørn Høyheim, B.P. Chowdhary, Kerstin Hansson, R. Bergström, Lars Holmberg and Magdalena Król. Their work appears in journals such as Veterinary Pathology, PLoS ONE, Journal of Comparative Pathology, Breast Cancer Research and Treatment and Journal of Dairy Research.

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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