Margit Pförsich
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Blood Coagulation and Thrombosis Mechanisms
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 2
- Oncology 9
- Neutropenia and Cancer Infections 7
- Cancer Cells and Metastasis 3
- Lung Cancer Research Studies 1
- Co-authors
- Barbara Witt (6 shared papers)Robert Möhle (5 shared papers)S Murea (6 shared papers)Rainer Haas (6 shared papers)Hartmut Goldschmidt (5 shared papers)Stefan Früehauf (2 shared papers)Stefan Hohaus (3 shared papers)Marion Moos (3 shared papers)
In The Last Decade
Margit Pförsich
12 papers receiving 339 citations
Peers
Comparison fields: 5 of 39
- Hematology 243
- Internal Medicine 15
- Genetics 42
- Oncology 98
- Transplantation 9
Countries citing papers authored by Margit Pförsich
This map shows the geographic impact of Margit Pförsich'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 Pförsich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Pförsich more than expected).
Fields of papers citing papers by Margit Pförsich
This network shows the impact of papers produced by Margit Pförsich. 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 Pförsich. The network helps show where Margit Pförsich may publish in the future.
Co-authors
The 25 scholars most cited alongside Margit Pförsich, 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 | 2004 | 58 | |
| 2 | 1996 | 46 | |
| 3 | 1997 | 41 | |
| 4 | 1999 | 38 | |
| 5 | 1995 | 37 | |
| 6 | Filgrastim post-chemotherapy mobilizes more CD34+ cells with a different antigenic profile compared with use during steady-state hematopoiesis. | 1994 | 36 |
| 7 | 1996 | 34 | |
| 8 | Autografting with peripheral blood stem cells mobilized by sequential interleukin-3/granulocyte-macrophage colony-stimulating factor following high-dose chemotherapy in non-Hodgkin's lymphoma. | 1993 | 23 |
| 9 | 1997 | 21 | |
| 10 | 1994 | 15 | |
| 11 | 1996 | 2 | |
| 12 | 1996 | 1 |
About Margit Pförsich
Margit Pförsich is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 352 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Neutropenia and Cancer Infections (7 papers), Cancer Cells and Metastasis (3 papers), Acute Myeloid Leukemia Research (2 papers), Mesenchymal stem cell research (2 papers), Lung Cancer Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (243 citations), Internal Medicine (15 citations), Genetics (42 citations), Oncology (98 citations) and Transplantation (9 citations). Margit Pförsich has collaborated with scholars based in Germany and France. Frequent co-authors include Barbara Witt, Robert Möhle, S Murea, Rainer Haas, Hartmut Goldschmidt, Stefan Früehauf, Stefan Hohaus, Marion Moos, W. Hunstein and Maria Teresa Voso. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Clinical Apheresis, Vox Sanguinis and PubMed.
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.