Linde Schoenmaker

1.5k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Linde Schoenmaker is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Linde Schoenmaker has authored 6 papers receiving a total of 1.1k 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 Materials Chemistry. Recurrent topics in Linde Schoenmaker's work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Radiation Effects in Electronics (1 paper). Linde Schoenmaker is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Radiation Effects in Electronics (1 paper). Linde Schoenmaker collaborates with scholars based in Netherlands, Czechia and Austria. Linde Schoenmaker's co-authors include Rein Verbeke, Dominik Witzigmann, Wim Jiskoot, Jayesh A. Kulkarni, Gideon Kersten, Daan J.A. Crommelin, Gerard J. P. van Westen, Willem Jespers, Martin Šícho and J. G. Coen van Hasselt and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Chemical Information and Modeling and Journal of Cheminformatics.

In The Last Decade

Linde Schoenmaker

6 papers receiving 1.0k 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.

mRNA-lipid nanoparticle COVID-19 vaccines: Structure and stability

2021 1.0k citations Linde Schoenmaker, Dominik Witzigmann et al. International Journal of Pharmaceutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linde Schoenmaker Netherlands	4	765	244	186	140	115	6	1.1k
Gustavo Lou United Kingdom	10	556 0.7×	119 0.5×	183 1.0×	237 1.7×	189 1.6×	12	841
Jared Beyersdorf United States	9	655 0.9×	161 0.7×	133 0.7×	87 0.6×	53 0.5×	12	836
Estelle J. A. Suys Australia	10	472 0.6×	115 0.5×	142 0.8×	133 0.9×	166 1.4×	10	811
Edo Kon Israel	8	653 0.9×	153 0.6×	240 1.3×	138 1.0×	85 0.7×	10	972
Suman Alishetty United States	7	593 0.8×	179 0.7×	139 0.7×	70 0.5×	66 0.6×	8	806
James Heyes United States	12	1.7k 2.2×	223 0.9×	309 1.7×	162 1.2×	240 2.1×	17	1.9k
Manuel Carrasco United States	3	601 0.8×	179 0.7×	141 0.8×	68 0.5×	65 0.6×	3	726
Soo Khim Chan United States	11	378 0.5×	322 1.3×	130 0.7×	139 1.0×	30 0.3×	29	821
Matthew D. Shin United States	12	339 0.4×	349 1.4×	157 0.8×	119 0.8×	52 0.5×	18	809
Bingjie Zhou China	15	279 0.4×	280 1.1×	94 0.5×	147 1.1×	124 1.1×	62	895

Countries citing papers authored by Linde Schoenmaker

Since Specialization

Citations

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

Fields of papers citing papers by Linde Schoenmaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linde Schoenmaker

This figure shows the co-authorship network connecting the top 25 collaborators of Linde Schoenmaker. A scholar is included among the top collaborators of Linde Schoenmaker 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 Linde Schoenmaker. Linde Schoenmaker 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:

6 of 6 papers shown

1.

Schoenmaker, Linde, et al.. (2025). Toward Assay-Aware Bioactivity Model(er)s: Getting a Grip on Biological Context. Journal of Chemical Information and Modeling. 65(13). 7013–7023. 2 indexed citations

2.

Šícho, Martin, Linde Schoenmaker, Marina Gorostiola González, et al.. (2024). QSPRpred: a Flexible Open-Source Quantitative Structure-Property Relationship Modelling Tool. Journal of Cheminformatics. 16(1). 128–128. 4 indexed citations

3.

Schoenmaker, Linde, et al.. (2023). UnCorrupt SMILES: a novel approach to de novo design. Journal of Cheminformatics. 15(1). 22–22. 18 indexed citations

4.

Šícho, Martin, et al.. (2023). DrugEx: Deep Learning Models and Tools for Exploration of Drug-Like Chemical Space. Journal of Chemical Information and Modeling. 63(12). 3629–3636. 19 indexed citations

5.

Cao, Lu, et al.. (2022). Automated Sarcomere Structure Analysis for Studying Cardiotoxicity in Human Pluripotent Stem Cell-Derived Cardiomyocytes. Microscopy and Microanalysis. 29(1). 254–264. 1 indexed citations

6.

Schoenmaker, Linde, Dominik Witzigmann, Jayesh A. Kulkarni, et al.. (2021). mRNA-lipid nanoparticle COVID-19 vaccines: Structure and stability. International Journal of Pharmaceutics. 601. 120586–120586. 1013 indexed citations breakdown →

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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