Uta Lessel

895 total citations
23 papers, 485 citations indexed

About

Uta Lessel is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Uta Lessel has authored 23 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Spectroscopy. Recurrent topics in Uta Lessel's work include Chemical Synthesis and Analysis (8 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (4 papers). Uta Lessel is often cited by papers focused on Chemical Synthesis and Analysis (8 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (4 papers). Uta Lessel collaborates with scholars based in Germany, Israel and Australia. Uta Lessel's co-authors include Dietmar Schomburg, Hans Briem, Bernd Wellenzohn, Holger Claußen, Anna S. Kamenik, Thomas Fox, Julian E. Fuchs, Matthias Rarey, Klaus R. Liedl and Ralf Heilker and has published in prestigious journals such as Biochemistry, Journal of Medicinal Chemistry and European Journal of Biochemistry.

In The Last Decade

Uta Lessel

23 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uta Lessel Germany 14 354 192 97 64 58 23 485
Jonathan C. Fuller Germany 7 475 1.3× 197 1.0× 105 1.1× 52 0.8× 87 1.5× 9 633
Eric Raimbaud France 11 265 0.7× 117 0.6× 43 0.4× 40 0.6× 121 2.1× 18 420
Markus H. J. Seifert Germany 14 544 1.5× 202 1.1× 92 0.9× 35 0.5× 100 1.7× 18 693
Manuel Hitzenberger Germany 14 410 1.2× 96 0.5× 54 0.6× 50 0.8× 41 0.7× 23 618
Ryan MacArthur United States 16 307 0.9× 90 0.5× 46 0.5× 31 0.5× 69 1.2× 24 562
Oranit Dror Israel 10 531 1.5× 225 1.2× 142 1.5× 50 0.8× 92 1.6× 11 714
Krishna Mohan Das India 10 377 1.1× 245 1.3× 105 1.1× 26 0.4× 88 1.5× 22 624
Adam G. Kreutzer United States 14 415 1.2× 173 0.9× 55 0.6× 30 0.5× 73 1.3× 32 630
Alexander S. Bayden United States 9 328 0.9× 107 0.6× 76 0.8× 34 0.5× 77 1.3× 14 469
Hugo Guterres United States 10 433 1.2× 159 0.8× 92 0.9× 52 0.8× 48 0.8× 14 571

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-authorship network of co-authors of Uta Lessel

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

All Works

20 of 20 papers shown
1.
Krämer, Christian, John D. Chodera, Kelly L. Damm‐Ganamet, et al.. (2025). The Need for Continuing Blinded Pose- and Activity Prediction Benchmarks. Journal of Chemical Information and Modeling. 65(5). 2180–2190. 6 indexed citations
2.
Lessel, Uta, et al.. (2024). Enhanced Calculation of Property Distributions in Chemical Fragment Spaces. Journal of Chemical Information and Modeling. 64(6). 2008–2020. 2 indexed citations
3.
Lessel, Uta, et al.. (2021). Identification of Highly Selective Orexin 1 Receptor Antagonists Driven by Structure-Based Design. Journal of Chemical Information and Modeling. 61(12). 5893–5905. 3 indexed citations
4.
Lessel, Uta & Christian Lemmen. (2019). Comparison of Large Chemical Spaces. ACS Medicinal Chemistry Letters. 10(10). 1504–1510. 8 indexed citations
5.
Heilker, Ralf, Uta Lessel, & Daniel Bischoff. (2018). The power of combining phenotypic and target-focused drug discovery. Drug Discovery Today. 24(2). 526–532. 23 indexed citations
6.
Kamenik, Anna S., Uta Lessel, Julian E. Fuchs, Thomas Fox, & Klaus R. Liedl. (2018). Peptidic Macrocycles - Conformational Sampling and Thermodynamic Characterization. Journal of Chemical Information and Modeling. 58(5). 982–992. 53 indexed citations
7.
Lessel, Uta, et al.. (2011). Improving Similarity-Driven Library Design: Customized Matching and Regioselective Feature Trees. Journal of Chemical Information and Modeling. 51(9). 2156–2163. 4 indexed citations
8.
Lessel, Uta, et al.. (2009). Searching Fragment Spaces with Feature Trees. Journal of Chemical Information and Modeling. 49(2). 270–279. 57 indexed citations
9.
Lessel, Uta, et al.. (2009). LoFT: Similarity-Driven Multiobjective Focused Library Design. Journal of Chemical Information and Modeling. 50(1). 1–21. 25 indexed citations
10.
Gilboa, R., Harry M. Greenblatt, A. Spungin‐Bialik, et al.. (2000). Interactions ofStreptomyces griseusaminopeptidase with a methionine product analogue: a structural study at 1.53 Å resolution. Acta Crystallographica Section D Biological Crystallography. 56(5). 551–558. 32 indexed citations
11.
Lessel, Uta & Hans Briem. (2000). Flexsim-X:  A Method for the Detection of Molecules with Similar Biological Activity. Journal of Chemical Information and Computer Sciences. 40(2). 246–253. 27 indexed citations
12.
Briem, Hans & Uta Lessel. (2000). In vitro and in silico affinity fingerprints: Finding similarities beyond structural classes. Perspectives in Drug Discovery and Design. 20(1). 231–244. 36 indexed citations
13.
Lessel, Uta & Dietmar Schomburg. (1999). Importance of anchor group positioning in protein loop prediction. Proteins Structure Function and Bioinformatics. 37(1). 56–64. 25 indexed citations
14.
Lessel, Uta & Dietmar Schomburg. (1999). Importance of anchor group positioning in protein loop prediction. Proteins Structure Function and Bioinformatics. 37(1). 56–64. 1 indexed citations
15.
Spungin‐Bialik, A., Daniella Ben‐Meir, Ella Fudim, et al.. (1998). Inhibition of Streptomyces griseus aminopeptidase and effects of calcium ions on catalysis and binding. European Journal of Biochemistry. 258(2). 313–319. 23 indexed citations
16.
Müller, Wernér E.G., et al.. (1997). Galectins in the Phylogenetically Oldest Metazoa, the Sponges (Porifera).. Trends in Glycoscience and Glycotechnology. 9(45). 123–130. 27 indexed citations
17.
Blankenfeldt, Wulf, Kiyoshi Nokihara, Satoru Naruse, et al.. (1996). NMR Spectroscopic Evidence That Helodermin, unlike Other Members of the Secretin/VIP Family of Peptides, Is Substantially Structured in Water. Biochemistry. 35(19). 5955–5962. 24 indexed citations
18.
Lessel, Uta & Dietmar Schomburg. (1995). Comparison, assessment and classification of protein 3D structures. Journal of Molecular Structure THEOCHEM. 336(2-3). 261–267. 1 indexed citations
19.
Lessel, Uta & Dietmar Schomburg. (1994). Similarities between protein 3-D structures. Protein Engineering Design and Selection. 7(10). 1175–1187. 57 indexed citations
20.
Lessel, Uta, et al.. (1993). Computer in der Pharmazie — ein Überblick. Pharmazie in unserer Zeit. 22(4). 214–222. 2 indexed citations

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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