Markus Sieber
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Neurology top 2%
- CNS Lymphoma Diagnosis and Treatment
Papers in ⓘ
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- Lymphoma Diagnosis and Treatment 13
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- CNS Lymphoma Diagnosis and Treatment 7
- Co-authors
- Volker Diehl (12 shared papers)Andreas Engert (10 shared papers)Andreas Josting (7 shared papers)Dirk Hasenclever (3 shared papers)Jeremy Franklin (7 shared papers)Beate Pfistner (2 shared papers)F. Boissevain (2 shared papers)Hartmut Kirchner (2 shared papers)
In The Last Decade
Markus Sieber
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Pathology and Forensic Medicine 1.5k
- Neurology 692
- Oncology 964
- Genetics 361
- Hematology 178
Countries citing papers authored by Markus Sieber
This map shows the geographic impact of Markus Sieber'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 Markus Sieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Sieber more than expected).
Fields of papers citing papers by Markus Sieber
This network shows the impact of papers produced by Markus Sieber. 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 Markus Sieber. The network helps show where Markus Sieber may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Sieber, 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 | Aggressive conventional chemotherapy compared with high-dose chemotherapy with autologous haemopoietic stem-cell transplantation for relapsed chemosensitive Hodgkin's disease: a randomised trial Hit paper breakdown → | 2002 | 755 |
| 2 | 2003 | 294 | |
| 3 | 2007 | 162 | |
| 4 | 2000 | 161 | |
| 5 | 2003 | 106 | |
| 6 | 2002 | 98 | |
| 7 | 2005 | 86 | |
| 8 | 2001 | 58 | |
| 9 | 2021 | 41 | |
| 10 | 2004 | 19 | |
| 11 | 2000 | 17 | |
| 12 | 2011 | 7 | |
| 13 | 2017 | 5 | |
| 14 | 2004 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 1999 | 3 | |
| 17 | 1996 | 2 | |
| 18 | 2019 | 2 |
About Markus Sieber
Markus Sieber is a scholar working on Pathology and Forensic Medicine, Neurology, Genetics, Hepatology and Hematology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (5 papers), Silicon and Solar Cell Technologies (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Thin-Film Transistor Technologies (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.5k citations), Neurology (692 citations), Oncology (964 citations), Genetics (361 citations) and Hematology (178 citations). Markus Sieber has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Volker Diehl, Andreas Engert, Andreas Josting, Dirk Hasenclever, Jeremy Franklin, Beate Pfistner, F. Boissevain, Hartmut Kirchner, R. Zschaber and Andreas Lohri. Their work appears in journals such as Journal of Clinical Oncology, Blood, BMC Cancer, Cancer Treatment Reviews and The Lancet.
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.