Nils Weskamp

1.4k total citations · 1 hit paper
21 papers, 905 citations indexed

About

Nils Weskamp is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Nils Weskamp has authored 21 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Nils Weskamp's work include Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (10 papers) and Bioinformatics and Genomic Networks (5 papers). Nils Weskamp is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (10 papers) and Bioinformatics and Genomic Networks (5 papers). Nils Weskamp collaborates with scholars based in Germany, Switzerland and Austria. Nils Weskamp's co-authors include Eyke Hüllermeier, José Jiménez-Luna, Gisbert Schneider, G. Klebe, Francesca Grisoni, Daniel Kühn, Jürgen Bajorath, Lisa Peltason, Andreas Teckentrup and Mathias J. Wawer and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Journal of Medicinal Chemistry.

In The Last Decade

Nils Weskamp

21 papers receiving 866 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence in drug discovery: recent advances and future perspectives

2021 243 citations José Jiménez-Luna, Francesca Grisoni et al. Expert Opinion on Drug Discovery profile →

Peers

Countries citing papers authored by Nils Weskamp

Since Specialization

Citations

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

Fields of papers citing papers by Nils Weskamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Weskamp

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Towards holistic Compound Quality Scores: Extending ligand efficiency indices with compound pharmacokinetic characteristics 2023 ·Drug Discovery Today ·Christofer S. Tautermann, Jens Markus Borghardt, (unknown), Matthias Zentgraf, Nils Weskamp, Achim Sauer	7
2	Benchmarking Molecular Feature Attribution Methods with Activity Cliffs 2022 ·Journal of Chemical Information and Modeling ·José Jiménez-Luna, Miha Škalič, Nils Weskamp	18
3	Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment 2021 ·Journal of Chemical Information and Modeling ·José Jiménez-Luna, Miha Škalič, Nils Weskamp, Gisbert Schneider	57
4	Artificial intelligence in drug discovery: recent advances and future perspectives breakdown → 2021 ·Expert Opinion on Drug Discovery ·José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, Gisbert Schneider	243
5	Guided Iterative Substructure Search (GI-SSS) - A New Trick for an Old Dog 2016 ·Molecular Informatics ·Nils Weskamp	1
6	Matched Peptides: Tuning Matched Molecular Pair Analysis for Biopharmaceutical Applications 2015 ·Journal of Chemical Information and Modeling ·Julian E. Fuchs, Bernd Wellenzohn, Nils Weskamp, Klaus R. Liedl	9
7	SAR Matrices: Automated Extraction of Information-Rich SAR Tables from Large Compound Data Sets 2012 ·Journal of Chemical Information and Modeling ·Anne Mai Wassermann, Peter Haebel, Nils Weskamp, Jürgen Bajorath	43
8	Exploration of Structure−Activity Relationship Determinants in Analogue Series 2009 ·Journal of Medicinal Chemistry ·Lisa Peltason, Nils Weskamp, Andreas Teckentrup, Jürgen Bajorath	24
9	Merging chemical and biological space: Structural mapping of enzyme binding pocket space 2008 ·Proteins Structure Function and Bioinformatics ·Nils Weskamp, Eyke Hüllermeier, G. Klebe	34
10	Structure−Activity Relationship Anatomy by Network-like Similarity Graphs and Local Structure−Activity Relationship Indices 2008 ·Journal of Medicinal Chemistry ·Mathias J. Wawer, Lisa Peltason, Nils Weskamp, Andreas Teckentrup, Jürgen Bajorath	124
11	Multiple Graph Alignment for the Structural Analysis of Protein Active Sites 2007 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Nils Weskamp, Eyke Hüllermeier, Daniel Kühn, G. Klebe	35
12	Functional Classification of Protein Kinase Binding Sites Using Cavbase 2007 ·ChemMedChem ·Daniel Kühn, Nils Weskamp, Eyke Hüllermeier, G. Klebe	61
13	Graph Alignment: Fuzzy Pattern Mining for the Structural Analysis of Protein Active Sites 2007 ·Proceedings of ... IEEE International Conference on Fuzzy Systems ·Eyke Hüllermeier, Nils Weskamp, Gerhard Klebe, Daniel Kühn	1
14	Strategies to search and design stabilizers of protein–protein interactions: A feasibility study 2007 ·Proteins Structure Function and Bioinformatics ·Peter C. Block, Nils Weskamp, Alexander Wolf, G. Klebe	36
15	Multiple Graph Alignment for the Structural Analysis of Protein Active Sites 2007 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Nils Weskamp, Eyke Hüllermeier, Daniel Kühn, G. Klebe	14
16	From the Similarity Analysis of Protein Cavities to the Functional Classification of Protein Families Using Cavbase 2006 ·Journal of Molecular Biology ·Daniel Kühn, Nils Weskamp, Stefan Schmitt, Eyke Hüllermeier, G. Klebe	75
17	Graph alignments: A new concept to detect conserved regions in protein active sites 2004 ·Nils Weskamp, Eyke Hüllermeier, Daniel Kühn, G. Klebe	4
18	Clustering of gene expression data using a local shape-based similarity measure 2004 ·Bioinformatics ·(unknown), Eyke Hüllermeier, Nils Weskamp, Jörg Kämper	82
19	Efficient similarity search in protein structure databases by k-clique hashing 2004 ·Bioinformatics ·Nils Weskamp, Daniel Kühn, Eyke Hüllermeier, G. Klebe	34
20	Efficient Similarity Search in Protein Structure Databases: Improving Cliqae-Detection through Clique Hashing. 2003 ·Nils Weskamp, Daniel Kühn, Eyke Hüllermeier, G. Klebe	2

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.

Explore authors with similar magnitude of impact