Anke K. Bergmann
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Lymphoblastic Leukemia research 12
-
- Acute Myeloid Leukemia Research 9
- Co-authors
- Ellis J. Neufeld (2 shared papers)Sylvia S. Bottomley (1 shared paper)Suneet Agarwal (1 shared paper)Dean R. Campagna (1 shared paper)Mark D. Fleming (1 shared paper)Erin M. McLoughlin (1 shared paper)Reiner Siebert (4 shared papers)Jan Dürig (5 shared papers)
- Journals
- Blood (2 papers)Best Practice & Research Clinical Haematology (2 papers)International Journal of Cancer (2 papers)HemaSphere (2 papers)Leukemia (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Anke K. Bergmann
31 papers receiving 549 citations
Peers
Comparison fields: 5 of 54
- Genetics 128
- Hematology 109
- Rheumatology 75
- Pathology and Forensic Medicine 82
- Immunology 94
Countries citing papers authored by Anke K. Bergmann
This map shows the geographic impact of Anke K. Bergmann'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 Anke K. Bergmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke K. Bergmann more than expected).
Fields of papers citing papers by Anke K. Bergmann
This network shows the impact of papers produced by Anke K. Bergmann. 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 Anke K. Bergmann. The network helps show where Anke K. Bergmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke K. Bergmann, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 103 | |
| 2 | 2016 | 81 | |
| 3 | 2016 | 52 | |
| 4 | 2021 | 44 | |
| 5 | 2018 | 44 | |
| 6 | 2009 | 42 | |
| 7 | 2015 | 30 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2006 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2025 | 4 |
About Anke K. Bergmann
Anke K. Bergmann is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics, having authored 35 papers that have together received 560 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (12 papers), Acute Myeloid Leukemia Research (9 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Genetics (128 citations), Hematology (109 citations), Rheumatology (75 citations), Pathology and Forensic Medicine (82 citations) and Immunology (94 citations). Anke K. Bergmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Ellis J. Neufeld, Sylvia S. Bottomley, Suneet Agarwal, Dean R. Campagna, Mark D. Fleming, Erin M. McLoughlin, Reiner Siebert, Jan Dürig, Patricia Johansson and Steve Hoffmann. Their work appears in journals such as Blood, Best Practice & Research Clinical Haematology, International Journal of Cancer, HemaSphere and Leukemia.
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.