Anika Böttcher
Impact in
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- Diabetes Management and Research
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 3
- Renal and related cancers 2
- Genetics 12
- Diabetes and associated disorders 7
- Digestive system and related health 2
- Co-authors
- Heiko Lickert (18 shared papers)Fabian J. Theis (13 shared papers)Sophie Tritschler (7 shared papers)Mostafa Bakhti (5 shared papers)Ingo Burtscher (9 shared papers)Michael Sterr (8 shared papers)Aimée Bastidas-Ponce (4 shared papers)Ciro Salinno (4 shared papers)
- Journals
- Molecular Metabolism (5 papers)Nature Cell Biology (4 papers)Journal of Biological Chemistry (2 papers)Nature Metabolism (2 papers)Current Biology (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Anika Böttcher
20 papers receiving 794 citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 143
- Biophysics 48
- Genetics 234
- Surgery 334
- Molecular Biology 474
Countries citing papers authored by Anika Böttcher
This map shows the geographic impact of Anika Böttcher'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 Anika Böttcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anika Böttcher more than expected).
Fields of papers citing papers by Anika Böttcher
This network shows the impact of papers produced by Anika Böttcher. 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 Anika Böttcher. The network helps show where Anika Böttcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Anika Böttcher, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2017 | 78 | |
| 3 | 2021 | 77 | |
| 4 | 2018 | 64 | |
| 5 | 2019 | 63 | |
| 6 | 2021 | 55 | |
| 7 | 2021 | 53 | |
| 8 | 2014 | 49 | |
| 9 | 2021 | 47 | |
| 10 | 2014 | 42 | |
| 11 | 2023 | 34 | |
| 12 | 2021 | 32 | |
| 13 | 2022 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2013 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Anika Böttcher
Anika Böttcher is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 800 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes and associated disorders (7 papers), Single-cell and spatial transcriptomics (3 papers), Diabetes Management and Research (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer Cells and Metastasis (3 papers), Renal and related cancers (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (143 citations), Biophysics (48 citations), Genetics (234 citations), Surgery (334 citations) and Molecular Biology (474 citations). Anika Böttcher has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Heiko Lickert, Fabian J. Theis, Sophie Tritschler, Mostafa Bakhti, Ingo Burtscher, Michael Sterr, Aimée Bastidas-Ponce, Ciro Salinno, Katharina Scheibner and Martin Irmler. Their work appears in journals such as Molecular Metabolism, Nature Cell Biology, Journal of Biological Chemistry, Nature Metabolism and Current Biology.
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.