Anne Mai Wassermann

50 papers and 1.3k indexed citations i.

About

Anne Mai Wassermann is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Anne Mai Wassermann has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 31 papers in Molecular Biology and 12 papers in Organic Chemistry. Recurrent topics in Anne Mai Wassermann’s work include Computational Drug Discovery Methods (40 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Microbial Natural Products and Biosynthesis (12 papers). Anne Mai Wassermann is often cited by papers focused on Computational Drug Discovery Methods (40 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Microbial Natural Products and Biosynthesis (12 papers). Anne Mai Wassermann collaborates with scholars based in Germany, United States and Switzerland. Anne Mai Wassermann's co-authors include Jürgen Bajorath, Mathias J. Wawer, Eugen Lounkine, Meir Glick, Hanna Geppert, Dilyana Dimova, Luiz Miguel Camargo, Martin Vogt, Mateusz Maciejewski and Peter Haebel and has published in prestigious journals such as Journal of Medicinal Chemistry, Nature Chemical Biology and Toxicological Sciences.

In The Last Decade

Co-authorship network of co-authors of Anne Mai Wassermann i

Fields of papers citing papers by Anne Mai Wassermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Mai Wassermann. 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 Anne Mai Wassermann. The network helps show where Anne Mai Wassermann may publish in the future.

Countries citing papers authored by Anne Mai Wassermann

Since Specialization
Citations

This map shows the geographic impact of Anne Mai Wassermann'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 Anne Mai Wassermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Mai Wassermann more than expected).

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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