Anna Ramisch
Impact in
-
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 7
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- Genomics and Chromatin Dynamics 5
- Bioinformatics and Genomic Networks 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Emmanouil T. Dermitzakis (3 shared papers)Diogo M. Ribeiro (2 shared papers)Olivier Delaneau (2 shared papers)Robin J. Hofmeister (1 shared paper)Simone Rubinacci (1 shared paper)Soojin Ryu (1 shared paper)Thomas Lingner (1 shared paper)Raffaël Kalisch (1 shared paper)
- Journals
- Nature Communications (3 papers)Cell (1 paper)Clinical Proteomics (1 paper)Molecular Psychiatry (1 paper)The Lancet Diabetes & Endocrinology (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Anna Ramisch
14 papers receiving 676 citations
Anna Ramisch's Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 324
- Behavioral Neuroscience 13
- Endocrinology, Diabetes and Metabolism 76
- Health Informatics 10
- Genetics 100
Countries citing papers authored by Anna Ramisch
This map shows the geographic impact of Anna Ramisch'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 Anna Ramisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ramisch more than expected).
Fields of papers citing papers by Anna Ramisch
This network shows the impact of papers produced by Anna Ramisch. 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 Anna Ramisch. The network helps show where Anna Ramisch may publish in the future.
Co-authors
The 19 scholars most cited alongside Anna Ramisch, 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 | A reference map of potential determinants for the human serum metabolome Hit paper breakdown → | 2020 | 340 |
| 2 | 2022 | 87 | |
| 3 | 2023 | 82 | |
| 4 | 2018 | 41 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2026 | 2 |
About Anna Ramisch
Anna Ramisch is a scholar working on Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Rheumatology, having authored 14 papers that have together received 682 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genomics and Chromatin Dynamics (5 papers), Bioinformatics and Genomic Networks (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Epigenetics and DNA Methylation (1 paper), Schizophrenia research and treatment (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (324 citations), Behavioral Neuroscience (13 citations), Endocrinology, Diabetes and Metabolism (76 citations), Health Informatics (10 citations) and Genetics (100 citations). Anna Ramisch has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Emmanouil T. Dermitzakis, Diogo M. Ribeiro, Olivier Delaneau, Robin J. Hofmeister, Simone Rubinacci, Soojin Ryu, Thomas Lingner, Raffaël Kalisch, Marianne B. Mueller and Ulrich Schmitt. Their work appears in journals such as Nature Communications, Cell, Clinical Proteomics, Molecular Psychiatry and The Lancet Diabetes & Endocrinology.
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.