Gabriele Seitz

642 citations
17 papers · 514 · h-index 11

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Mesenchymal stem cell research

Papers in

    • Sphingolipid Metabolism and Signaling 4
    • Glycosylation and Glycoproteins Research 3
    • Chemokine receptors and signaling 5

Gabriele Seitz

16 papers receiving 499 citations

Peers

Gabriele Seitz
Comparison fields: 5 of 79
  • Hematology 126
  • Genetics 65
  • Immunology 130
  • Oncology 106
  • Neurology 45
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Edith Rian Norway
Sébastien Grosso France
Dale Schaar United States
Kaori Takeshita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Gabriele Seitz

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Seitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2004113
2 200391
3 200589
4 199852
5 200941
6 200031
7
The prognostic value of Bcl-XL gene expression for remission induction is influenced by cytogenetics in adult acute myeloid leukemia.
200125
8 200919
9
Pitfalls in detection of contaminating neuroblastoma cells by tyrosine hydroxylase RT-PCR due to catecholamine-producing hematopoietic cells.
200615
10 200714
11 201113
12
Bone marrow-derived factors support growth of N-type, but not of melanocytic neuroblastoma cells.
20034
13
Die Brüder Grimm : Leben - Werk - Zeit
19902
14 20052
15 20041
16 20001
17 20061

About Gabriele Seitz

Gabriele Seitz is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 17 papers that have together received 514 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Glycosylation and Glycoproteins Research (3 papers), Platelet Disorders and Treatments (3 papers), Immunotherapy and Immune Responses (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Hematology (126 citations), Genetics (65 citations), Immunology (130 citations), Oncology (106 citations) and Neurology (45 citations). Gabriele Seitz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Robert Möhle, Lothar Kanz, Andreas M. Boehmler, Selim Kuçi, D. Niethammer, Tina Wiesner, Takafumi Kimura, Volker Brinkmann, James F. Beck and Rupert Handgretinger. Their work appears in journals such as Blood, Annals of the New York Academy of Sciences, Journal of Neurochemistry, The Journal of Urology and The Journal of Immunology.

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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