Uta Lessel

23 papers receiving 467 citations

Peers

Uta Lessel
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 192
  • Molecular Biology 354
  • Spectroscopy 58
  • Biotechnology 29
  • Pharmacology 47
Replace Jonathan C. Fuller with:
Jonathan C. Fuller Germany
Eric Raimbaud France
Ryan MacArthur United States
Manuel Hitzenberger Germany
Markus H. J. Seifert Germany
Krishna Mohan Das India
Oranit Dror Israel
Kris A. Borzilleri United States
Gregory D. Friedland United States
Patrik Johansson Sweden
Uta Lessel relative to Jonathan C. Fuller Germany Jonathan C. Fuller's profile →
Citations per field
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Citations per year

Countries citing papers authored by Uta Lessel

Since Specialization
Citations

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

Fields of papers citing papers by Uta Lessel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Uta Lessel, 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 Uta Lessel Line = papers co-authored together Uta Lessel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199457
2 200957
3 201853
4 200036
5 200032
6 199727
7 200027
8 201226
9 199925
10 200925
11 199624
12 199823
13 201823
14 199719
15 20198
16 20256
17 20114
18 20114
19 20213
20 19932

About Uta Lessel

Uta Lessel is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Materials Chemistry and Artificial Intelligence, having authored 23 papers that have together received 485 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (4 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers), Biofuel production and bioconversion (3 papers), Algorithms and Data Compression (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (192 citations), Molecular Biology (354 citations), Spectroscopy (58 citations), Biotechnology (29 citations) and Pharmacology (47 citations). Uta Lessel has collaborated with scholars based in Germany, Israel and Australia. Frequent co-authors include Dietmar Schomburg, Hans Briem, Bernd Wellenzohn, Holger Claußen, Anna S. Kamenik, Thomas Fox, Matthias Rarey, Klaus R. Liedl, Julian E. Fuchs and Daniel Bischoff. Their work appears in journals such as Journal of Chemical Information and Modeling, Protein Engineering Design and Selection, Proteins Structure Function and Bioinformatics, Perspectives in Drug Discovery and Design and European Journal of Biochemistry.

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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