Knut Baumann

84 papers receiving 3.5k citations

Peers

Knut Baumann
Comparison fields: 5 of 112
  • Computational Theory and Mathematics 1.1k
  • Biophysics 253
  • Analytical Chemistry 187
  • Pharmaceutical Science 97
  • Organic Chemistry 216
Replace Marleen De Veij with:
Marleen De Veij United Kingdom
David Scott Palmer United Kingdom
Gurusingham Sitta Sittampalam United States
Huanxiang Liu China
Humberto González‐Díaz Spain
Gordon M. Crippen United States
Thomas E. Exner Germany
Michel A. Cuendet Switzerland
Jianping Lin China
Melissa M. Kemp United States
Knut Baumann relative to Marleen De Veij United Kingdom Marleen De Veij's profile →
Citations per field
00.5×5×10×12.7×
Marleen De Veij · 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 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, Cancer Research and Organic Chemistry, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Spectroscopy and Chemometric Analyses (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Protease and Inhibitor Mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Pancreatic function and diabetes (2 papers), Supramolecular Chemistry and Complexes (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Biophysics (253 citations), Analytical Chemistry (187 citations), Pharmaceutical Science (97 citations) and Organic Chemistry (216 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, Ute Neugebauer, Michael Schmitt 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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