Margit Stimpfl
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation 3
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- Cancer Genomics and Diagnostics 3
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- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 2
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- Glycosylation and Glycoproteins Research 4
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- Monoclonal and Polyclonal Antibodies Research 3
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- Blood properties and coagulation 1
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- Virus-based gene therapy research 1
- Co-authors
- Robert ZeillingerSepp LeodolterDan Cacsire Castillo‐TongAndreas ObermairDieter PrintzP BuchingerG. FritschHelmut Gadner
- Cited by
- HematologyCancer ResearchOncology
- Journals
- Clinical Chemistry (2 papers)Breast Cancer Research and Treatment (2 papers)Transfusion (1 paper)
- Partner nations
- AustriaUnited StatesAustralia
In The Last Decade
Margit Stimpfl
16 papers receiving 362 citations
Peers
Comparison fields: 5 of 73
- Hematology 90
- Cancer Research 68
- Oncology 105
- Reproductive Medicine 24
- Molecular Biology 193
Countries citing papers authored by Margit Stimpfl
This map shows the geographic impact of Margit Stimpfl'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 Margit Stimpfl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Stimpfl more than expected).
Fields of papers citing papers by Margit Stimpfl
This network shows the impact of papers produced by Margit Stimpfl. 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 Margit Stimpfl. The network helps show where Margit Stimpfl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Margit Stimpfl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2003 | 40 | |
| 3 | 2003 | 38 | |
| 4 | Vascular endothelial growth factor splice variants and their prognostic value in breast and ovarian cancer. | 2002 | 73 |
| 5 | 2002 | 10 | |
| 6 | 2001 | 24 | |
| 7 | 2000 | 2 | |
| 8 | 2000 | 8 | |
| 9 | 1999 | 28 | |
| 10 | 1999 | 24 | |
| 11 | 1999 | 1 | |
| 12 | Comparison of flow cytometry and RT-PCR for the detection of ovarian cancer cells in peripheral blood. | 1999 | 6 |
| 13 | 1997 | 34 | |
| 14 | The composition of CD34 subpopulations differs between bone marrow, blood and cord blood. | 1996 | 57 |
| 15 | 1995 | 11 | |
| 16 | 1994 | 14 |
About Margit Stimpfl
Margit Stimpfl is a scholar working on Hematology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 16 papers that have together received 372 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Cells and Metastasis (2 papers), Blood properties and coagulation (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Hematology (90 citations), Cancer Research (68 citations), Oncology (105 citations), Reproductive Medicine (24 citations) and Molecular Biology (193 citations). Margit Stimpfl has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Robert Zeillinger, Sepp Leodolter, Dan Cacsire Castillo‐Tong, Andreas Obermair, Dieter Printz, P Buchinger, G. Fritsch, Helmut Gadner, Eva Schuster and Bernd Schmid. Their work appears in journals such as Clinical Chemistry, Breast Cancer Research and Treatment, Transfusion, Cancer Letters and European Journal of Cancer.
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.