M. Graubner
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Blood disorders and treatments
Papers in
-
- Acute Myeloid Leukemia Research 4
- Blood groups and transfusion 3
- Oncology 8
- Lung Cancer Research Studies 4
- Co-authors
- C. Mueller‐Eckhardt (3 shared papers)W. Kayser (1 shared paper)A. Salama (2 shared papers)J. Neuzner (2 shared papers)V. Kiefel (2 shared papers)H. Pralle (6 shared papers)C Mueller-Eckhardt (2 shared papers)Norbert Schmitz (2 shared papers)
- Journals
- British Journal of Haematology (2 papers)Journal of Clinical Oncology (2 papers)Annals of Hematology (2 papers)Journal of Molecular Medicine (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
M. Graubner
17 papers receiving 301 citations
Peers
Comparison fields: 5 of 46
- Hematology 239
- Genetics 76
- Immunology 61
- Nephrology 19
- Pathology and Forensic Medicine 44
Countries citing papers authored by M. Graubner
This map shows the geographic impact of M. Graubner'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 M. Graubner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Graubner more than expected).
Fields of papers citing papers by M. Graubner
This network shows the impact of papers produced by M. Graubner. 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 M. Graubner. The network helps show where M. Graubner may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Graubner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 151 | |
| 2 | 1985 | 38 | |
| 3 | 1985 | 34 | |
| 4 | 1975 | 31 | |
| 5 | 1977 | 21 | |
| 6 | 1984 | 16 | |
| 7 | 1984 | 13 | |
| 8 | 2005 | 9 | |
| 9 | 1983 | 8 | |
| 10 | 2008 | 5 | |
| 11 | 1982 | 5 | |
| 12 | 1981 | 4 | |
| 13 | 2016 | 3 | |
| 14 | [Hairy cell leukemia]. | 1976 | 3 |
| 15 | 2005 | 1 | |
| 16 | [Therapeutic results in adult acute leukemia in Giessen]. | 1978 | 1 |
| 17 | 1978 | 1 | |
| 18 | 2009 | 0 | |
| 19 | 2009 | 0 | |
| 20 | 2008 | 0 |
About M. Graubner
M. Graubner is a scholar working on Hematology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Acute Myeloid Leukemia Research (4 papers), Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Blood disorders and treatments (4 papers), Blood groups and transfusion (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Hematology (239 citations), Genetics (76 citations), Immunology (61 citations), Nephrology (19 citations) and Pathology and Forensic Medicine (44 citations). M. Graubner has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include C. Mueller‐Eckhardt, W. Kayser, A. Salama, J. Neuzner, V. Kiefel, H. Pralle, C Mueller-Eckhardt, Norbert Schmitz, H. Löffler and W. Gaßmann. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Oncology, Annals of Hematology, Journal of Molecular Medicine and Blood.
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.