Derek van Tilborg

549 total citations
7 papers, 288 citations indexed

About

Derek van Tilborg is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Derek van Tilborg has authored 7 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Biophysics. Recurrent topics in Derek van Tilborg's work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Cell Image Analysis Techniques (3 papers). Derek van Tilborg is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Cell Image Analysis Techniques (3 papers). Derek van Tilborg collaborates with scholars based in Netherlands, United Kingdom and Iran. Derek van Tilborg's co-authors include Francesca Grisoni, José Jiménez-Luna, Lorenzo Albertazzi, Roy van der Meel, Li C. Xue, Nicolas Renaud, Peter A.C. ’t Hoen and Edoardo Saccenti and has published in prestigious journals such as Frontiers in Immunology, Current Opinion in Structural Biology and Journal of Chemical Information and Modeling.

In The Last Decade

Derek van Tilborg

7 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek van Tilborg Netherlands	6	158	145	115	31	22	7	288
Xiaochu Tong China	7	185 1.2×	164 1.1×	82 0.7×	18 0.6×	11 0.5×	14	293
Benoît Baillif United Kingdom	3	190 1.2×	168 1.2×	129 1.1×	35 1.1×	9 0.4×	4	330
Petrina Kamya Canada	7	119 0.8×	138 1.0×	60 0.5×	23 0.7×	21 1.0×	8	317
Anastasia V. Aladinskaya Russia	5	124 0.8×	120 0.8×	101 0.9×	24 0.8×	11 0.5×	6	235
Alexander L. Button Switzerland	6	131 0.8×	140 1.0×	89 0.8×	33 1.1×	5 0.2×	7	250
Sowmya Ramaswamy Krishnan India	8	177 1.1×	178 1.2×	73 0.6×	23 0.7×	6 0.3×	28	287
Vigneshwari Subramanian United Kingdom	8	210 1.3×	243 1.7×	76 0.7×	17 0.5×	8 0.4×	15	328
Navneet Bung India	10	154 1.0×	203 1.4×	81 0.7×	22 0.7×	5 0.2×	19	323
Cyrill Brunner Switzerland	8	105 0.7×	150 1.0×	58 0.5×	21 0.7×	20 0.9×	18	278
Odin Zhang China	11	191 1.2×	203 1.4×	87 0.8×	25 0.8×	5 0.2×	27	328

Countries citing papers authored by Derek van Tilborg

Since Specialization

Citations

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

Fields of papers citing papers by Derek van Tilborg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek van Tilborg. 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 Derek van Tilborg. The network helps show where Derek van Tilborg may publish in the future.

Co-authorship network of co-authors of Derek van Tilborg

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

All Works

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7 of 7 papers shown

1.

Tilborg, Derek van, et al.. (2024). Machine learning-guided high throughput nanoparticle design. Digital Discovery. 3(7). 1280–1291. 43 indexed citations

2.

Tilborg, Derek van, et al.. (2024). Deep learning for low-data drug discovery: Hurdles and opportunities. Current Opinion in Structural Biology. 86. 102818–102818. 27 indexed citations

3.

Tilborg, Derek van & Francesca Grisoni. (2024). Traversing chemical space with active deep learning for low-data drug discovery. Nature Computational Science. 4(10). 786–796. 13 indexed citations

4.

Tilborg, Derek van, et al.. (2023). Structure‐Based Drug Discovery with Deep Learning**. ChemBioChem. 24(13). e202200776–e202200776. 41 indexed citations

5.

Tilborg, Derek van, et al.. (2022). PANDORA: A Fast, Anchor-Restrained Modelling Protocol for Peptide: MHC Complexes. Frontiers in Immunology. 13. 878762–878762. 24 indexed citations

6.

Tilborg, Derek van, et al.. (2022). Exposing the Limitations of Molecular Machine Learning with Activity Cliffs. Journal of Chemical Information and Modeling. 62(23). 5938–5951. 137 indexed citations

7.

Tilborg, Derek van & Edoardo Saccenti. (2021). Cancers in Agreement? Exploring the Cross-Talk of Cancer Metabolomic and Transcriptomic Landscapes Using Publicly Available Data. Cancers. 13(3). 393–393. 3 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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