Erik Gilberg

546 total citations
20 papers, 413 citations indexed

About

Erik Gilberg is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Erik Gilberg has authored 20 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 10 papers in Organic Chemistry. Recurrent topics in Erik Gilberg's work include Computational Drug Discovery Methods (12 papers), Chemical Synthesis and Analysis (7 papers) and Click Chemistry and Applications (4 papers). Erik Gilberg is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Chemical Synthesis and Analysis (7 papers) and Click Chemistry and Applications (4 papers). Erik Gilberg collaborates with scholars based in Germany, Brazil and France. Erik Gilberg's co-authors include Jürgen Bajorath, Michael Gütschow, Dagmar Stumpfe, Swarit Jasial, Dilyana Dimova, Reik Löser, Bernd Kuhn, Robin Taylor, Lorenzo Cianni and Jason C. Cole and has published in prestigious journals such as Biochemistry, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Erik Gilberg

20 papers receiving 409 citations

Peers

Erik Gilberg

CTM

PHARM

ONCOL

Aleix Gimeno Spain

Sarah Barelier France

Mihiret T. Sisay Germany

Daniel J. Mason United Kingdom

Viktor S. Stroylov Russia

Ugo Perricone Italy

Kristian Birchall United Kingdom

Lu Tan United Kingdom

Akshay Patny United States

Richard Trilles United States

Aleix Gimeno Spain

Erik Gilberg

243 ×1.2

273 ×1.6

CTM

81 ×0.6

70 ×1.0

PHARM

79 ×1.2

ONCOL

Citations per year, relative to Erik Gilberg Erik Gilberg (= 1×) peers Aleix Gimeno

Countries citing papers authored by Erik Gilberg

Since Specialization

Citations

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

Fields of papers citing papers by Erik Gilberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Gilberg

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

All Works

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20 of 20 papers shown

Cianni, Lorenzo, Christian Feldmann, Erik Gilberg, et al.. (2020). N-Sulfonyl dipeptide nitriles as inhibitors of human cathepsin S: In silico design, synthesis and biochemical characterization. Bioorganic & Medicinal Chemistry Letters. 30(18). 127420–127420. 3 indexed citations

Cianni, Lorenzo, Erik Gilberg, Christian Feldmann, et al.. (2020). Mapping the S1 and S1’ subsites of cysteine proteases with new dipeptidyl nitrile inhibitors as trypanocidal agents. PLoS neglected tropical diseases. 14(3). e0007755–e0007755. 13 indexed citations

Kuhn, Bernd, Erik Gilberg, Robin Taylor, Jason C. Cole, & Oliver Korb. (2019). How Significant Are Unusual Protein–Ligand Interactions? Insights from Database Mining. Journal of Medicinal Chemistry. 62(22). 10441–10455. 41 indexed citations

Gilberg, Erik, Michael Gütschow, & Jürgen Bajorath. (2019). Promiscuous Ligands from Experimentally Determined Structures, Binding Conformations, and Protein Family-Dependent Interaction Hotspots. ACS Omega. 4(1). 1729–1737. 18 indexed citations

Cianni, Lorenzo, Christian Feldmann, Erik Gilberg, et al.. (2019). Can Cysteine Protease Cross-Class Inhibitors Achieve Selectivity?. Journal of Medicinal Chemistry. 62(23). 10497–10525. 57 indexed citations

Gilberg, Erik & Jürgen Bajorath. (2019). Recent Progress in Structure-Based Evaluation of Compound Promiscuity. ACS Omega. 4(2). 2758–2765. 17 indexed citations

Gilberg, Erik, et al.. (2018). Cathepsin B: Active site mapping with peptidic substrates and inhibitors. Bioorganic & Medicinal Chemistry. 27(1). 1–15. 57 indexed citations

Gilberg, Erik, Michael Gütschow, & Jürgen Bajorath. (2018). X-ray Structures of Target–Ligand Complexes Containing Compounds with Assay Interference Potential. Journal of Medicinal Chemistry. 61(3). 1276–1284. 20 indexed citations

Stumpfe, Dagmar, Erik Gilberg, & Jürgen Bajorath. (2018). Series of Screening Compounds with High Hit Rates for the Exploration of Multi-Target Activities and Assay Interference. Future Science OA. 4(3). FSO279–FSO279. 1 indexed citations

10.

Jasial, Swarit, Erik Gilberg, Thomas Blaschke, & Jürgen Bajorath. (2018). Machine Learning Distinguishes with High Accuracy between Pan-Assay Interference Compounds That Are Promiscuous or Represent Dark Chemical Matter. Journal of Medicinal Chemistry. 61(22). 10255–10264. 22 indexed citations

11.

Gilberg, Erik, Dagmar Stumpfe, & Jürgen Bajorath. (2018). X-ray-Structure-Based Identification of Compounds with Activity against Targets from Different Families and Generation of Templates for Multitarget Ligand Design. ACS Omega. 3(1). 106–111. 19 indexed citations

12.

Horvath, Dragos, et al.. (2017). Privileged Structural Motif Detection and Analysis Using Generative Topographic Maps. Journal of Chemical Information and Modeling. 57(5). 1218–1232. 9 indexed citations

13.

Hu, Ye, Swarit Jasial, Erik Gilberg, & Jürgen Bajorath. (2017). Structure-Promiscuity Relationship Puzzles—Extensively Assayed Analogs with Large Differences in Target Annotations. The AAPS Journal. 19(3). 856–864. 13 indexed citations

14.

Gilberg, Erik, et al.. (2017). A Fluorescent‐Labeled Phosphono Bisbenzguanidine As an Activity‐Based Probe for Matriptase. Chemistry - A European Journal. 23(22). 5205–5209. 13 indexed citations

15.

Gilberg, Erik, Dagmar Stumpfe, & Jürgen Bajorath. (2017). Activity profiles of analog series containing pan assay interference compounds. RSC Advances. 7(57). 35638–35647. 24 indexed citations

16.

Tikhomirov, Alexander S., Annett Braune, Tamara Girbl, et al.. (2017). Design of an Activity-Based Probe for Human Neutrophil Elastase: Implementation of the Lossen Rearrangement To Induce Förster Resonance Energy Transfers. Biochemistry. 57(5). 742–752. 29 indexed citations

17.

Gilberg, Erik, Tien L. Huang, Jean Jacques Vanden Eynde, et al.. (2016). Evaluation of bisbenzamidines as inhibitors for matriptase-2. Bioorganic & Medicinal Chemistry Letters. 26(15). 3741–3745. 6 indexed citations

18.

Gilberg, Erik, Swarit Jasial, Dagmar Stumpfe, Dilyana Dimova, & Jürgen Bajorath. (2016). Highly Promiscuous Small Molecules from Biological Screening Assays Include Many Pan-Assay Interference Compounds but Also Candidates for Polypharmacology. Journal of Medicinal Chemistry. 59(22). 10285–10290. 36 indexed citations

19.

Dimova, Dilyana, Erik Gilberg, & Jürgen Bajorath. (2016). Identification and analysis of promiscuity cliffs formed by bioactive compounds and experimental implications. RSC Advances. 7(1). 58–66. 14 indexed citations

20.

Gütschow, Michael, et al.. (2015). Oxidation of Disulfides to Taurine and Sulfanilic Acid Derivatives. Synthesis. 47(17). 2609–2616. 1 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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