Tanja Hinrichsen
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Advanced biosensing and bioanalysis techniques 2
- Epigenetics and DNA Methylation 1
- Glycosylation and Glycoproteins Research 1
- Protein Degradation and Inhibitors 1
-
- Acute Myeloid Leukemia Research 5
- Co-authors
- Brigitte Schlegelberger (4 shared papers)Hartmut Döhner (1 shared paper)Arnold Ganser (1 shared paper)Florian Kuchenbauer (1 shared paper)Konstanze Döhner (1 shared paper)Christopher Baum (1 shared paper)Richard F. Schlenk (1 shared paper)Michael Heuser (1 shared paper)
- Journals
- Blood (4 papers)Gene (1 paper)Clinical Gastroenterology and Hepatology (1 paper)Leukemia (1 paper)Cancer Research (1 paper)
- Partner nations
- GermanyNew ZealandCanada
In The Last Decade
Tanja Hinrichsen
10 papers receiving 291 citations
Peers
Comparison fields: 5 of 38
- Hematology 152
- Genetics 32
- Cancer Research 43
- Immunology and Allergy 15
- Molecular Biology 161
Countries citing papers authored by Tanja Hinrichsen
This map shows the geographic impact of Tanja Hinrichsen'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 Tanja Hinrichsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Hinrichsen more than expected).
Fields of papers citing papers by Tanja Hinrichsen
This network shows the impact of papers produced by Tanja Hinrichsen. 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 Tanja Hinrichsen. The network helps show where Tanja Hinrichsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanja Hinrichsen, 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 | 2007 | 104 | |
| 2 | 2014 | 58 | |
| 3 | 2006 | 41 | |
| 4 | 2018 | 38 | |
| 5 | 2013 | 28 | |
| 6 | 2013 | 20 | |
| 7 | 2012 | 2 | |
| 8 | 2016 | 2 | |
| 9 | 2013 | 1 | |
| 10 | Assessment of differentiation and progression of benign and malignant hepatic tumors using array based comparative genomic hybridization | 2006 | 1 |
| 11 | 2005 | 0 | |
| 12 | 2010 | 0 |
About Tanja Hinrichsen
Tanja Hinrichsen is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Nephrology, having authored 12 papers that have together received 295 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Epigenetics and DNA Methylation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (152 citations), Genetics (32 citations), Cancer Research (43 citations), Immunology and Allergy (15 citations) and Molecular Biology (161 citations). Tanja Hinrichsen has collaborated with scholars based in Germany, New Zealand and Canada. Frequent co-authors include Brigitte Schlegelberger, Hartmut Döhner, Arnold Ganser, Florian Kuchenbauer, Konstanze Döhner, Christopher Baum, Richard F. Schlenk, Michael Heuser, Eric Yung and Axel Schambach. Their work appears in journals such as Blood, Gene, Clinical Gastroenterology and Hepatology, Leukemia and Cancer Research.
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.