Anne Bicker
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Hemoglobin structure and function
Papers in
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- Cancer, Hypoxia, and Metabolism 10
-
- Hemoglobin structure and function 6
- Co-authors
- Thomas Hankeln (18 shared papers)Glen Kristiansen (11 shared papers)Thomas A. Gorr (11 shared papers)Sebastian Meller (3 shared papers)Dimo Dietrich (3 shared papers)Aaron Avivi (2 shared papers)Assaf Malik (1 shared paper)Dirk Schadendorf (2 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Anne Bicker
19 papers receiving 543 citations
Peers
Comparison fields: 5 of 59
- Aging 32
- Cell Biology 104
- Cancer Research 98
- Paleontology 48
- Oncology 88
Countries citing papers authored by Anne Bicker
This map shows the geographic impact of Anne Bicker'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 Anne Bicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Bicker more than expected).
Fields of papers citing papers by Anne Bicker
This network shows the impact of papers produced by Anne Bicker. 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 Anne Bicker. The network helps show where Anne Bicker may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Bicker, 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 | 2014 | 121 | |
| 2 | 2016 | 63 | |
| 3 | 2020 | 45 | |
| 4 | 2011 | 43 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 41 | |
| 7 | 2017 | 29 | |
| 8 | 2013 | 25 | |
| 9 | 2015 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2016 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Anne Bicker
Anne Bicker is a scholar working on Cancer Research, Cell Biology, Aging, Paleontology and Oncology, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (10 papers), Hemoglobin structure and function (6 papers), Cancer Immunotherapy and Biomarkers (2 papers), Mechanisms of cancer metastasis (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Subterranean biodiversity and taxonomy (2 papers), RNA Research and Splicing (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Aging (32 citations), Cell Biology (104 citations), Cancer Research (98 citations), Paleontology (48 citations) and Oncology (88 citations). Anne Bicker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thomas Hankeln, Glen Kristiansen, Thomas A. Gorr, Sebastian Meller, Dimo Dietrich, Aaron Avivi, Assaf Malik, Dirk Schadendorf, Barbara Schrörs and Thomas Wölfel. Their work appears in journals such as Scientific Reports, PLoS ONE, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids 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.