Matthias Bartenstein
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Acute Myeloid Leukemia Research 6
- Hematopoietic Stem Cell Transplantation 4
- Chronic Myeloid Leukemia Treatments 3
-
- Epigenetics and DNA Methylation 2
- Kruppel-like factors research 2
- Co-authors
- Amit Verma (11 shared papers)H. Joachim Deeg (4 shared papers)Yiting Yu (6 shared papers)Tushar D. Bhagat (5 shared papers)Jacqueline Boultwood (3 shared papers)Andrea Pellagatti (3 shared papers)John M. Greally (3 shared papers)Zhizhuang Joe Zhao (3 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (1 paper)Archivum Immunologiae et Therapiae Experimentalis (1 paper)Hematology/Oncology Clinics of North America (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Matthias Bartenstein
16 papers receiving 663 citations
Peers
Comparison fields: 5 of 58
- Hematology 237
- Cancer Research 187
- Genetics 126
- Immunology 111
- Molecular Biology 338
Countries citing papers authored by Matthias Bartenstein
This map shows the geographic impact of Matthias Bartenstein'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 Matthias Bartenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Bartenstein more than expected).
Fields of papers citing papers by Matthias Bartenstein
This network shows the impact of papers produced by Matthias Bartenstein. 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 Matthias Bartenstein. The network helps show where Matthias Bartenstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Bartenstein, 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 | 2013 | 193 | |
| 2 | 2015 | 147 | |
| 3 | 2017 | 70 | |
| 4 | 2011 | 61 | |
| 5 | 2016 | 55 | |
| 6 | 2015 | 55 | |
| 7 | 2017 | 38 | |
| 8 | 2010 | 28 | |
| 9 | 2015 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2013 | 1 |
About Matthias Bartenstein
Matthias Bartenstein is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Rheumatology, having authored 16 papers that have together received 671 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Hematology (237 citations), Cancer Research (187 citations), Genetics (126 citations), Immunology (111 citations) and Molecular Biology (338 citations). Matthias Bartenstein has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Amit Verma, H. Joachim Deeg, Yiting Yu, Tushar D. Bhagat, Jacqueline Boultwood, Andrea Pellagatti, John M. Greally, Zhizhuang Joe Zhao, Shanisha Gordon and Jee Hoon Song. Their work appears in journals such as Blood, Journal of Clinical Oncology, Archivum Immunologiae et Therapiae Experimentalis, Hematology/Oncology Clinics of North America and JCI Insight.
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.