Matthias Schwab
- Oncology top 0.1%
- Pharmacology top 0.01%
- Molecular Biology top 0.5%
- Materials Chemistry top 0.2%
- Pediatrics, Perinatology and Child Health top 0.02%
- Co-authors
- Ulrich M. ZangerPaul GellertKostya S. NovoselovVladimir I. Fal’koLuigi ColomboElke SchaeffelerMichel EichelbaumKathrin Klein
- Topics
- Pharmacogenetics and Drug Metabolism (132 papers)Drug Transport and Resistance Mechanisms (129 papers)Pharmacological Effects and Toxicity Studies (54 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Matthias Schwab
757 papers receiving 44.9k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Oncology 9.2k
- Pharmacology 8.7k
- Molecular Biology 8.6k
- Materials Chemistry 7.9k
- Pediatrics, Perinatology and Child Health 6.4k
Countries citing papers authored by Matthias Schwab
This map shows the geographic impact of Matthias Schwab'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 Matthias Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Schwab more than expected).
Fields of papers citing papers by Matthias Schwab
This network shows the impact of papers produced by Matthias Schwab. 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 Matthias Schwab. The network helps show where Matthias Schwab may publish in the future.
Co-authorship network of co-authors of Matthias Schwab
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Schwab. A scholar is included among the top collaborators of Matthias Schwab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Schwab. Matthias Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 46 | |
| 9 | 78 | |
| 10 | 60 | |
| 11 | 7 | |
| 12 | 79 | |
| 13 | 52 | |
| 14 | 66 | |
| 15 | 116 | |
| 16 | 336 | |
| 17 | Reduced Paneth cell α-defensins in ileal Crohn's diseasebreakdown → | 749 |
| 18 | 16 | |
| 19 | 17 | |
| 20 | Regulation and heteromeric structure of the fibroblast activation protein in normal and transformed cells of mesenchymal and neuroectodermal origin. | 161 |
About Matthias Schwab
Matthias Schwab is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Oncology, having authored 792 papers that have together received 45.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (132 papers), Drug Transport and Resistance Mechanisms (129 papers) and Pharmacological Effects and Toxicity Studies (54 papers). The work is most often cited by research in Pharmacology (8.7k citations), Oncology (9.2k citations) and Pediatrics, Perinatology and Child Health (6.4k citations). Matthias Schwab has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ulrich M. Zanger, Paul Gellert, Kostya S. Novoselov, Vladimir I. Fal’ko, Luigi Colombo, Elke Schaeffeler, Michel Eichelbaum, Kathrin Klein, Anne T. Nies and Ute Hofmann. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.