Knut Baumann

84 papers receiving 3.5k citations

Knut Baumann's Hit Papers

Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data 2009 · 315 citations
3150+5+11Years since publication100200300

Peers

Knut Baumann
Comparison fields: 5 of 143
  • Computational Theory and Mathematics 1.3k
  • Biophysics 342
  • Analytical Chemistry 314
  • Pharmaceutical Science 139
  • Organic Chemistry 436
Replace Gurusingham Sitta Sittampalam with:
Gurusingham Sitta Sittampalam United States
David Scott Palmer United Kingdom
Pär Bjelkmar Sweden
Marleen De Veij United Kingdom
Roland Schulz United States
Rossen Apostolov Sweden
Huanxiang Liu China
Sereina Riniker Switzerland
Philip M. Gribbon Germany
Humberto González‐Díaz Spain
Knut Baumann relative to Gurusingham Sitta Sittampalam United States Gurusingham Sitta Sittampalam's profile →
Citations per field
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Gurusingham Sitta Sittampalam · 1×
Citations per year

Countries citing papers authored by Knut Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Knut Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Knut Baumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Knut Baumann Line = papers co-authored together Knut Baumann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Maximum Unbiased Validation (MUV) Data Sets for Virtual Screening Based on PubChem Bioactivity Data
Hit paper breakdown →
2009315
2 2003219
3 2006181
4 2005139
5 2017137
6 2016134
7 2014130
8 2012124
9 201596
10 201891
11 200189
12 200280
13 200678
14 200676
15 200976
16 201772
17 200069
18 200463
19 200663
20 201062

About Knut Baumann

Knut Baumann is a scholar working on Computational Theory and Mathematics, Analytical Chemistry, Biophysics, Organic Chemistry and Cancer Research, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Spectroscopy and Chemometric Analyses (16 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Protease and Inhibitor Mechanisms (5 papers), Supramolecular Chemistry and Complexes (4 papers), Metal complexes synthesis and properties (3 papers), Analytical Methods in Pharmaceuticals (3 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Biophysics (342 citations), Analytical Chemistry (314 citations), Pharmaceutical Science (139 citations) and Organic Chemistry (436 citations). Knut Baumann has collaborated with scholars based in Germany, Switzerland and Iran. Frequent co-authors include Sebastian G. Rohrer, Nikolaus Stiefl, Miriam Mathea, Ulrike Holzgrabe, Jürgen Popp, Tanja Schirmeister, Modest von Korff, Michael Schmitt, Ute Neugebauer and Ian A. Watson. Their work appears in journals such as Journal of Cheminformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Chemometrics and Journal of Computer-Aided Molecular Design.

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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