Mathias J. Wawer
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 15
- Biophysics top 5%
- Cell Image Analysis Techniques 3
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 8
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 9
- Metabolomics and Mass Spectrometry Studies 5
- Organic Chemistry top 10%
- Click Chemistry and Applications 2
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- interferon and immune responses 2
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- Neuroblastoma Research and Treatments 2
- Co-authors
- Jürgen BajorathAnne Mai WassermannLisa PeltasonStuart L. SchreiberPaul A. ClemonsEugen LounkineNils WeskampAndreas Teckentrup
- Journals
- Journal of the American Chemical Society (3 papers)Nature Communications (1 paper)Blood (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Mathias J. Wawer
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Computational Theory and Mathematics 706
- Biophysics 112
- Pharmacology 193
- Molecular Biology 698
- Organic Chemistry 217
Countries citing papers authored by Mathias J. Wawer
This map shows the geographic impact of Mathias J. Wawer'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 Mathias J. Wawer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias J. Wawer more than expected).
Fields of papers citing papers by Mathias J. Wawer
This network shows the impact of papers produced by Mathias J. Wawer. 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 Mathias J. Wawer. The network helps show where Mathias J. Wawer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathias J. Wawer, 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 | 2023 | 17 | |
| 2 | 2021 | 20 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 84 | |
| 6 | 2018 | 49 | |
| 7 | 2017 | 110 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 30 | |
| 10 | 2016 | 2 | |
| 11 | 2014 | 17 | |
| 12 | 2011 | 38 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 2 | |
| 15 | 2011 | 74 | |
| 16 | 2010 | 52 | |
| 17 | 2010 | 144 | |
| 18 | 2009 | 134 | |
| 19 | 2009 | 22 | |
| 20 | 2008 | 124 |
About Mathias J. Wawer
Mathias J. Wawer is a scholar working on Computational Theory and Mathematics, Biophysics and Pharmacology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Bioinformatics and Genomic Networks (9 papers), Microbial Natural Products and Biosynthesis (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Cell Image Analysis Techniques (3 papers), interferon and immune responses (2 papers), Click Chemistry and Applications (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Computational Theory and Mathematics (706 citations), Biophysics (112 citations) and Pharmacology (193 citations). Mathias J. Wawer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jürgen Bajorath, Anne Mai Wassermann, Lisa Peltason, Stuart L. Schreiber, Paul A. Clemons, Eugen Lounkine, Nils Weskamp, Andreas Teckentrup, Christopher J. Gerry and Rajarshi Guha. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Blood.
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.