Anke Schumann
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
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- Metabolism and Genetic Disorders 18
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- Species Distribution and Climate Change 8
- Co-authors
- Ute Spiekerkoetter (20 shared papers)Sarah Catharina Grünert (20 shared papers)Stefan Kölker (8 shared papers)Luciana Hannibal (13 shared papers)Matthias R. Baumgartner (4 shared papers)MIRIAM J. BRANDT (10 shared papers)Olivier Devuyst (3 shared papers)Till Bruckermann (7 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (4 papers)Orphanet Journal of Rare Diseases (3 papers)Molecular Genetics and Metabolism (2 papers)Genes (2 papers)Journal of Research in Science Teaching (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Anke Schumann
42 papers receiving 583 citations
Peers
Comparison fields: 5 of 104
- Clinical Biochemistry 182
- Ecological Modeling 49
- Rheumatology 118
- Pharmacy 16
- Physiology 80
Countries citing papers authored by Anke Schumann
This map shows the geographic impact of Anke Schumann'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 Schumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Schumann more than expected).
Fields of papers citing papers by Anke Schumann
This network shows the impact of papers produced by Anke Schumann. 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 Schumann. The network helps show where Anke Schumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Schumann, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2020 | 46 | |
| 3 | 2020 | 39 | |
| 4 | 2019 | 39 | |
| 5 | 2016 | 36 | |
| 6 | 2021 | 32 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2022 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 9 |
About Anke Schumann
Anke Schumann is a scholar working on Clinical Biochemistry, Ecological Modeling, Rheumatology, Biochemistry and Genetics, having authored 46 papers that have together received 594 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (18 papers), Species Distribution and Climate Change (8 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Animal and Plant Science Education (6 papers), Mitochondrial Function and Pathology (5 papers), Folate and B Vitamins Research (5 papers), Diet and metabolism studies (5 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Clinical Biochemistry (182 citations), Ecological Modeling (49 citations), Rheumatology (118 citations), Pharmacy (16 citations) and Physiology (80 citations). Anke Schumann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ute Spiekerkoetter, Sarah Catharina Grünert, Stefan Kölker, Luciana Hannibal, Matthias R. Baumgartner, MIRIAM J. BRANDT, Olivier Devuyst, Till Bruckermann, Hannah Greving and Ute Harms. Their work appears in journals such as Journal of Inherited Metabolic Disease, Orphanet Journal of Rare Diseases, Molecular Genetics and Metabolism, Genes and Journal of Research in Science Teaching.
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.