Anna Dolnik
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 38
- Acute Myeloid Leukemia Research 34
- Multiple Myeloma Research and Treatments 3
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Lars Bullinger (34 shared papers)Hartmut Doehner (22 shared papers)Konstanze Döhner (15 shared papers)Tamara J. Blätte (10 shared papers)Stephan Stilgenbauer (3 shared papers)Daniel Mertens (3 shared papers)Eugen Tausch (3 shared papers)Johannes Bloehdorn (2 shared papers)
- Journals
- Blood (15 papers)Blood Advances (6 papers)Haematologica (6 papers)Leukemia (6 papers)Nature Communications (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Anna Dolnik
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 62
- Hematology 855
- Genetics 289
- Cancer Research 122
- Molecular Biology 430
- Pathology and Forensic Medicine 54
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 174 | |
| 2 | 2021 | 142 | |
| 3 | 2012 | 126 | |
| 4 | 2018 | 113 | |
| 5 | 2019 | 104 | |
| 6 | 2019 | 98 | |
| 7 | 2020 | 96 | |
| 8 | 2018 | 85 | |
| 9 | 2017 | 71 | |
| 10 | 2019 | 70 | |
| 11 | 2019 | 64 | |
| 12 | 2020 | 60 | |
| 13 | 2017 | 55 | |
| 14 | 2022 | 55 | |
| 15 | 2019 | 53 | |
| 16 | 2006 | 50 | |
| 17 | 2020 | 45 | |
| 18 | 2020 | 36 | |
| 19 | 2019 | 33 | |
| 20 | 2024 | 28 |
About Anna Dolnik
Anna Dolnik is a scholar working on Hematology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (34 papers), Chronic Lymphocytic Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA Research and Splicing (2 papers), Circular RNAs in diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Hematology (855 citations), Genetics (289 citations), Cancer Research (122 citations), Molecular Biology (430 citations) and Pathology and Forensic Medicine (54 citations). Anna Dolnik has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Lars Bullinger, Hartmut Doehner, Konstanze Döhner, Tamara J. Blätte, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch, Johannes Bloehdorn, Brenda Chyla and William Close. Their work appears in journals such as Blood, Blood Advances, Haematologica, Leukemia and Nature Communications.
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.