Lisa Peltason

22 total papers · 1.2k total citations
16 papers, 889 citations indexed

About

Lisa Peltason is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Lisa Peltason has authored 16 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Lisa Peltason's work include Computational Drug Discovery Methods (15 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Plant biochemistry and biosynthesis (4 papers). Lisa Peltason is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Plant biochemistry and biosynthesis (4 papers). Lisa Peltason collaborates with scholars based in Germany, United States and Switzerland. Lisa Peltason's co-authors include Jürgen Bajorath, Mathias J. Wawer, Peter Ripphausen, Britta Nisius, Nils Weskamp, Andreas Teckentrup, Michael S. Lajiness, Rajarshi Guha, John H. Van Drie and Preeti Iyer and has published in prestigious journals such as Journal of Medicinal Chemistry, Drug Discovery Today and Journal of Chemical Information and Modeling.

In The Last Decade

Lisa Peltason

16 papers receiving 854 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lisa Peltason 727 579 178 171 142 16 889
Nils Weskamp 583 0.8× 601 1.0× 95 0.5× 216 1.3× 60 0.4× 21 898
John H. Van Drie 549 0.8× 503 0.9× 105 0.6× 97 0.6× 156 1.1× 20 845
Christos A. Nicolaou 651 0.9× 505 0.9× 91 0.5× 280 1.6× 105 0.7× 30 928
Michael Reutlinger 591 0.8× 598 1.0× 190 1.1× 178 1.0× 207 1.5× 39 979
Mélaine A. Kuenemann 509 0.7× 542 0.9× 91 0.5× 266 1.6× 106 0.7× 23 976
Dilyana Dimova 569 0.8× 389 0.7× 184 1.0× 151 0.9× 172 1.2× 46 708
Wen Torng 707 1.0× 630 1.1× 74 0.4× 336 2.0× 70 0.5× 7 1.0k
Edgar Luttmann 603 0.8× 628 1.1× 132 0.7× 175 1.0× 75 0.5× 10 1.0k
Oliver Horlacher 581 0.8× 678 1.2× 92 0.5× 156 0.9× 74 0.5× 10 1.0k
Lazaros Mavridis 319 0.4× 667 1.2× 114 0.6× 171 1.0× 116 0.8× 25 1.1k

Countries citing papers authored by Lisa Peltason

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Peltason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Peltason. 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 Lisa Peltason. The network helps show where Lisa Peltason may publish in the future.

Co-authorship network of co-authors of Lisa Peltason

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

All Works

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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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