Nienke Moret

552 total citations · 1 hit paper
4 papers, 298 citations indexed

About

Nienke Moret is a scholar working on Computational Theory and Mathematics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nienke Moret has authored 4 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nienke Moret's work include Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Nienke Moret is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Nienke Moret collaborates with scholars based in United States and Switzerland. Nienke Moret's co-authors include Peter K. Sorger, Kyle E. Evans, Clemens B. Hug, Mark W. Albers, Sarah A. Boswell, Nathan Johnson, Bradley T. Hyman, George Zhou, Artem Sokolov and Petar V. Todorov and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cell chemical biology.

In The Last Decade

Nienke Moret

4 papers receiving 296 citations

Hit Papers

Machine learning identifi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nienke Moret United States 3 187 131 53 41 27 4 298
Nathan Johnson United States 8 209 1.1× 87 0.7× 40 0.8× 39 1.0× 23 0.9× 15 433
Sezen Vatansever United States 7 244 1.3× 118 0.9× 24 0.5× 14 0.3× 28 1.0× 11 449
Jielin Xu United States 13 362 1.9× 126 1.0× 32 0.6× 79 1.9× 21 0.8× 27 684
George Zhou United States 2 219 1.2× 85 0.6× 40 0.8× 39 1.0× 9 0.3× 4 355
Murat Can Çobanoğlu United States 9 234 1.3× 138 1.1× 24 0.5× 15 0.4× 20 0.7× 16 353
Kyle E. Evans United States 3 125 0.7× 85 0.6× 44 0.8× 46 1.1× 9 0.3× 4 244
Petar V. Todorov United States 7 132 0.7× 91 0.7× 42 0.8× 54 1.3× 17 0.6× 10 286
Jin Niu United States 6 157 0.8× 57 0.4× 15 0.3× 13 0.3× 54 2.0× 12 284
Teodora Djikić Serbia 9 130 0.7× 114 0.9× 65 1.2× 13 0.3× 43 1.6× 14 299

Countries citing papers authored by Nienke Moret

Since Specialization
Citations

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

Fields of papers citing papers by Nienke Moret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nienke Moret

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

All Works

4 of 4 papers shown
1.
Rodriguez, Steve, Clemens B. Hug, Petar V. Todorov, et al.. (2021). Machine learning identifies candidates for drug repurposing in Alzheimer’s disease. Nature Communications. 12(1). 1033–1033. 181 indexed citations breakdown →
2.
Berginski, Matthew E., Nienke Moret, Changchang Liu, et al.. (2020). The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases. Nucleic Acids Research. 49(D1). D529–D535. 73 indexed citations
3.
Moret, Nienke, Nicholas A. Clark, Marc Hafner, et al.. (2019). Cheminformatics Tools for Analyzing and Designing Optimized Small-Molecule Collections and Libraries. Cell chemical biology. 26(5). 765–777.e3. 43 indexed citations
4.
Moret, Nienke, Nicholas A. Clark, Marc Hafner, et al.. (2018). Cheminformatics Tools for Analyzing and Designing Optimized Small Molecule Collections and Libraries. SSRN Electronic Journal. 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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