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 12
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- Silicon and Solar Cell Technologies 4
- Integrated Circuits and Semiconductor Failure Analysis 4
- Thin-Film Transistor Technologies 3
- 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 1.9k citations
Markus Sieber's Hit Papers
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 1.6k
- Neurology 581
- Genetics 336
- Oncology 790
- Hematology 164
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 | 802 |
| 2 | 2003 | 317 | |
| 3 | 2007 | 173 | |
| 4 | 2000 | 167 | |
| 5 | 2003 | 116 | |
| 6 | 2002 | 107 | |
| 7 | 2005 | 95 | |
| 8 | 2001 | 69 | |
| 9 | 2021 | 44 | |
| 10 | 2004 | 19 | |
| 11 | 2000 | 17 | |
| 12 | 2011 | 8 | |
| 13 | 2004 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 1999 | 3 | |
| 18 | 1996 | 2 |
About Markus Sieber
Markus Sieber is a scholar working on Pathology and Forensic Medicine, Electrical and Electronic Engineering, Neurology, Pulmonary and Respiratory Medicine and Genetics, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Silicon and Solar Cell Technologies (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Thin-Film Transistor Technologies (3 papers), Lung Cancer Treatments and Mutations (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Neurology (581 citations), Genetics (336 citations), Oncology (790 citations) and Hematology (164 citations). Markus Sieber has collaborated with scholars based in Germany, China and Italy. Frequent co-authors include Volker Diehl, Andreas Engert, Andreas Josting, Dirk Hasenclever, Jeremy Franklin, Beate Pfistner, F. Boissevain, Hartmut Kirchner, Norbert Schmitz and M. Sextro. Their work appears in journals such as Journal of Clinical Oncology, Blood, The Lancet, Cancer Treatment Reviews and BMC 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.