Margit Stimpfl
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Hematopoietic Stem Cell Transplantation 3
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Sepp Leodolter (11 shared papers)Robert Zeillinger (11 shared papers)Dan Cacsire Castillo‐Tong (6 shared papers)Andreas Obermair (7 shared papers)Dieter Printz (5 shared papers)Gerhard Fritsch (4 shared papers)P Buchinger (4 shared papers)Helmut Gadner (3 shared papers)
- Journals
- Clinical Chemistry (2 papers)Breast Cancer Research and Treatment (2 papers)Cancer Letters (1 paper)Gynecologic Oncology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- AustriaUnited StatesAustralia
In The Last Decade
Margit Stimpfl
16 papers receiving 364 citations
Peers
Comparison fields: 5 of 68
- Hematology 79
- Cancer Research 55
- Oncology 87
- Reproductive Medicine 26
- Molecular Biology 179
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-authors
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 | Vascular endothelial growth factor splice variants and their prognostic value in breast and ovarian cancer. | 2002 | 73 |
| 2 | The composition of CD34 subpopulations differs between bone marrow, blood and cord blood. | 1996 | 57 |
| 3 | 2003 | 40 | |
| 4 | 2003 | 39 | |
| 5 | 1997 | 34 | |
| 6 | 1999 | 28 | |
| 7 | 1999 | 26 | |
| 8 | 2001 | 25 | |
| 9 | 1994 | 15 | |
| 10 | 1995 | 12 | |
| 11 | 2002 | 10 | |
| 12 | 2000 | 8 | |
| 13 | Comparison of flow cytometry and RT-PCR for the detection of ovarian cancer cells in peripheral blood. | 1999 | 6 |
| 14 | 2000 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 1999 | 1 |
About Margit Stimpfl
Margit Stimpfl is a scholar working on Hematology, Cancer Research, Oncology, Molecular Biology and Immunology, having authored 16 papers that have together received 378 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 (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (1 paper), Cancer Cells and Metastasis (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Hematology (79 citations), Cancer Research (55 citations), Oncology (87 citations), Reproductive Medicine (26 citations) and Molecular Biology (179 citations). Margit Stimpfl has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Sepp Leodolter, Robert Zeillinger, Dan Cacsire Castillo‐Tong, Andreas Obermair, Dieter Printz, Gerhard Fritsch, P Buchinger, Helmut Gadner, Eva Schuster and Bernd C. Schmid. Their work appears in journals such as Clinical Chemistry, Breast Cancer Research and Treatment, Cancer Letters, Gynecologic Oncology 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.