Anna Dolnik
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in ⓘ
- Hematology 23
- Acute Myeloid Leukemia Research 17
- Chronic Myeloid Leukemia Treatments 7
- Multiple Myeloma Research and Treatments 5
- Genetics 9
- Chronic Lymphocytic Leukemia Research 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Lars Bullinger (35 shared papers)Hartmut Döhner (20 shared papers)Konstanze Döhner (14 shared papers)Johannes Bloehdorn (2 shared papers)Stephan Stilgenbauer (3 shared papers)Daniel Mertens (3 shared papers)Eugen Tausch (3 shared papers)Tamara J. Blätte (10 shared papers)
- Journals
- Blood (12 papers)Blood Advances (4 papers)Leukemia (3 papers)Scientific Reports (2 papers)Haematologica (2 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Anna Dolnik
37 papers receiving 896 citations
Peers
Comparison fields: 5 of 60
- Hematology 333
- Genetics 190
- Cancer Research 237
- Molecular Biology 564
- Pathology and Forensic Medicine 122
Countries citing papers authored by Anna Dolnik
This map shows the geographic impact of Anna Dolnik'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 Anna Dolnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Dolnik more than expected).
Fields of papers citing papers by Anna Dolnik
This network shows the impact of papers produced by Anna Dolnik. 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 Anna Dolnik. The network helps show where Anna Dolnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Dolnik, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2012 | 112 | |
| 3 | 2019 | 84 | |
| 4 | 2018 | 82 | |
| 5 | 2017 | 65 | |
| 6 | 2019 | 52 | |
| 7 | 2006 | 48 | |
| 8 | 2019 | 44 | |
| 9 | 2022 | 42 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2014 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2003 | 9 | |
| 20 | 2017 | 9 |
About Anna Dolnik
Anna Dolnik is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 39 papers that have together received 900 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Protein Degradation and Inhibitors (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Cancer Genomics and Diagnostics (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Hematology (333 citations), Genetics (190 citations), Cancer Research (237 citations), Molecular Biology (564 citations) and Pathology and Forensic Medicine (122 citations). Anna Dolnik has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Lars Bullinger, Hartmut Döhner, Konstanze Döhner, Johannes Bloehdorn, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch, Tamara J. Blätte, William Close and Jan Krönke. Their work appears in journals such as Blood, Blood Advances, Leukemia, Scientific Reports and Haematologica.
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.