Anne Bicker
Impact in
- Cell Biology top 10%
- Hemoglobin structure and function
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Cell Biology 13
- Hemoglobin structure and function 11
-
- Cancer, Hypoxia, and Metabolism 13
- Co-authors
- Thomas Hankeln (18 shared papers)Thomas A. Gorr (11 shared papers)Glen Kristiansen (11 shared papers)Sebastian Meller (3 shared papers)Dimo Dietrich (3 shared papers)Imad Shams (2 shared papers)Hanno Schmidt (1 shared paper)Barbara Schrörs (2 shared papers)
- Journals
- Scientific Reports (2 papers)PLoS ONE (2 papers)Human Molecular Genetics (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Anne Bicker
20 papers receiving 393 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 154
- Cancer Research 116
- Aging 6
- Immunology 67
- Oncology 80
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 | 2016 | 57 | |
| 2 | 2011 | 43 | |
| 3 | 2017 | 40 | |
| 4 | 2016 | 39 | |
| 5 | 2020 | 34 | |
| 6 | 2013 | 25 | |
| 7 | 2015 | 25 | |
| 8 | 2017 | 25 | |
| 9 | 2014 | 24 | |
| 10 | 2019 | 19 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 1982 | 1 |
About Anne Bicker
Anne Bicker is a scholar working on Cell Biology, Cancer Research, Molecular Biology, Physiology and Immunology, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), Hemoglobin structure and function (11 papers), Metabolism, Diabetes, and Cancer (4 papers), Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cell Biology (154 citations), Cancer Research (116 citations), Aging (6 citations), Immunology (67 citations) and Oncology (80 citations). Anne Bicker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Thomas Hankeln, Thomas A. Gorr, Glen Kristiansen, Sebastian Meller, Dimo Dietrich, Imad Shams, Hanno Schmidt, Barbara Schrörs, Thomas Wölfel and Dirk Schadendorf. Their work appears in journals such as Scientific Reports, PLoS ONE, Human Molecular Genetics, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Genome Biology and Evolution.
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.