Eva Ulbrich

538 citations
11 papers · 452 · h-index 10

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Chemokine receptors and signaling
    • Lymphatic System and Diseases

Papers in

    • Bone Metabolism and Diseases 2
    • TGF-β signaling in diseases 2
    • Epigenetics and DNA Methylation 1
    • Bone health and treatments 2

Eva Ulbrich

11 papers receiving 435 citations

Peers

Eva Ulbrich
Comparison fields: 5 of 59
  • Physiology 33
  • Oncology 161
  • Cell Biology 83
  • Physiology 86
  • Immunology 70
Replace Iris Treinies with:
Iris Treinies Germany
Noritaka Minagawa Japan
Jakob Vejby Larsen Denmark
Hyun-Jin Shin South Korea
Nicole Malet France
Terrence Grady United States
M. Taton Belgium
Erica S. Berleth United States
Sue-Chin Lee United States
Jenna D. Lovaas United States
Eva Ulbrich relative to Iris Treinies Germany Iris Treinies's profile →
Citations per field
00.5×1.5×2.4×
Iris Treinies · 1×
Citations per year

Countries citing papers authored by Eva Ulbrich

Since Specialization
Citations

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

Fields of papers citing papers by Eva Ulbrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2004117
2 1999100
3 200483
4 200739
5 199824
6
Prognostic impact of haemoglobin levels in breast cancer.
200722
7 200522
8 200415
9 200415
10
Serum parameters of iron metabolism in patients with breast cancer.
200414
11
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20201

About Eva Ulbrich

Eva Ulbrich is a scholar working on Molecular Biology, Oncology, Genetics, Physiology and Pathology and Forensic Medicine, having authored 11 papers that have together received 452 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (2 papers), TGF-β signaling in diseases (2 papers), Bone health and treatments (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Sympathectomy and Hyperhidrosis Treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Estrogen and related hormone effects (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (33 citations), Oncology (161 citations), Cell Biology (83 citations), Physiology (86 citations) and Immunology (70 citations). Eva Ulbrich has collaborated with scholars based in Germany and Austria. Frequent co-authors include Antje Lebrecht, Heinz Koelbl, Lukas Hefler, Christoph Grimm, Tilmann Lantzsch, Elisabeth Ludwig, Regina Pohlmann, Frank Dittmer, Kurt Von Figura and Angela Hafner. Their work appears in journals such as The International Journal of Biological Markers, American Journal Of Pathology, International Journal of Oncology, Journal of Cell Science and Transgenic 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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