Andreas Schuppert
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Co-authors
- Michael LenzFrank MüllerMartin ZenkeLars KuepferBen D. MacArthurStefan UhligPatrick S. StumpfLucy Kathleen Reiss
- Journals
- Scientific Reports (8 papers)PLoS ONE (8 papers)Chemie Ingenieur Technik (3 papers)Leukemia (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Andreas Schuppert
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 161
- Health Informatics 122
- Health Information Management 61
- Aging 20
- Modeling and Simulation 48
- Molecular Biology 668
Countries citing papers authored by Andreas Schuppert
This map shows the geographic impact of Andreas Schuppert'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 Andreas Schuppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Schuppert more than expected).
Fields of papers citing papers by Andreas Schuppert
This network shows the impact of papers produced by Andreas Schuppert. 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 Andreas Schuppert. The network helps show where Andreas Schuppert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Schuppert, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 1 | |
| 13 | 2018 | 42 | |
| 14 | 2017 | 24 | |
| 15 | 2016 | 6 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 12 | |
| 18 | 2010 | 1 | |
| 19 | Upscaling of some exothermic reactions from chemical industry | 1996 | 0 |
| 20 | 1994 | 4 |
About Andreas Schuppert
Andreas Schuppert is a scholar working on Health Informatics, Modeling and Simulation, Statistics and Probability, Artificial Intelligence and Hematology, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (11 papers), Gene Regulatory Network Analysis (11 papers), Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (8 papers), Respiratory Support and Mechanisms (7 papers), Pluripotent Stem Cells Research (7 papers), Computational Drug Discovery Methods (6 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Health Informatics (122 citations), Health Information Management (61 citations), Aging (20 citations), Modeling and Simulation (48 citations) and Molecular Biology (668 citations). Andreas Schuppert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Michael Lenz, Frank Müller, Martin Zenke, Lars Kuepfer, Ben D. MacArthur, Stefan Uhlig, Patrick S. Stumpf, Lucy Kathleen Reiss, Jörg Lippert and Bernold Fiedler. Their work appears in journals such as Scientific Reports, PLoS ONE, Chemie Ingenieur Technik, Leukemia and Human Molecular Genetics.
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.