Mathias J. Wawer

5.5k citations
27 papers · 1.1k indexed · h-index 17
Topics
Computational Drug Discovery Methods (15 papers)Bioinformatics and Genomic Networks (9 papers)Microbial Natural Products and Biosynthesis (8 papers)

In The Last Decade

Mathias J. Wawer

27 papers receiving 1.1k citations

Peers

Mathias J. Wawer
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 706
  • Molecular Biology 698
  • Organic Chemistry 217
  • Pharmacology 193
  • Materials Chemistry 136
Replace Anne Mai Wassermann with:
Anne Mai Wassermann Germany
Florian Nigsch Switzerland
Tina Garyantes United States
Axel Pahl Germany
Elena Cibrián–Uhalte Germany
Dragan A. Cirovic United Kingdom
Johanna M. Jansen United States
Jeff W. Paslay United States
Nicole E. Bodycombe United States
Josep Arús‐Pous Switzerland
Mathias J. Wawer relative to Anne Mai Wassermann Germany Anne Mai Wassermann's profile →
Citations per field
00.5×
Anne Mai Wassermann · 1×
Citations per year

Countries citing papers authored by Mathias J. Wawer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mathias J. Wawer

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias J. Wawer. A scholar is included among the top collaborators of Mathias J. Wawer 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 Mathias J. Wawer. Mathias J. Wawer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 20
3 29
4 1
5 84
6 49
7 110
8 1
9 30
10 2
11 17
12 38
13 14
14 2
15 74
16 52
17 144
18 134
19 22
20 124

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) and Microbial Natural Products and Biosynthesis (8 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.

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