Sabine Willems

735 total citations
29 papers, 506 citations indexed

About

Sabine Willems is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Sabine Willems has authored 29 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 7 papers in Organic Chemistry. Recurrent topics in Sabine Willems's work include Nuclear Receptors and Signaling (11 papers), Computational Drug Discovery Methods (6 papers) and Retinoids in leukemia and cellular processes (6 papers). Sabine Willems is often cited by papers focused on Nuclear Receptors and Signaling (11 papers), Computational Drug Discovery Methods (6 papers) and Retinoids in leukemia and cellular processes (6 papers). Sabine Willems collaborates with scholars based in Germany, United States and Italy. Sabine Willems's co-authors include Daniel Merk, Jan Heering, A. Chaikuad, Stefan Knapp, Julian A. Marschner, Xiaomin Ni, Johannes Morstein, Dirk Trauner, Astrid Kaiser and Jacques Trienekens and has published in prestigious journals such as Angewandte Chemie International Edition, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Sabine Willems

28 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabine Willems Germany 15 216 197 127 90 90 29 506
John G. Houston United States 11 231 1.1× 40 0.2× 71 0.6× 29 0.3× 75 0.8× 15 463
Carole Peluso‐Iltis France 12 454 2.1× 172 0.9× 69 0.5× 95 1.1× 40 0.4× 26 691
Hitoshi Sakashita Japan 10 220 1.0× 45 0.2× 80 0.6× 75 0.8× 54 0.6× 19 409
Morihisa Saitoh Japan 5 246 1.1× 49 0.2× 106 0.8× 36 0.4× 67 0.7× 8 385
Keshav Karki United States 13 278 1.3× 142 0.7× 57 0.4× 116 1.3× 17 0.2× 19 476
Chong Hak Chae South Korea 14 347 1.6× 34 0.2× 113 0.9× 33 0.4× 58 0.6× 48 582
Noriko Uchiyama Japan 14 477 2.2× 49 0.2× 183 1.4× 91 1.0× 100 1.1× 28 769
Athena Sudom United States 16 344 1.6× 23 0.1× 210 1.7× 165 1.8× 56 0.6× 21 809
Ilaria Lamberto United States 14 454 2.1× 229 1.2× 33 0.3× 20 0.2× 28 0.3× 18 656
Liliana Halip Romania 12 292 1.4× 22 0.1× 64 0.5× 43 0.5× 220 2.4× 30 589

Countries citing papers authored by Sabine Willems

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Willems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabine Willems

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

All Works

20 of 20 papers shown
1.
Willems, Sabine, et al.. (2025). Comparative Profiling and Chemogenomics Application of Chemical Tools for NR4A Nuclear Receptors. Journal of Medicinal Chemistry. 68(19). 19955–19970.
2.
Reynders, Martin, Sabine Willems, Julian A. Marschner, et al.. (2024). A High‐Quality Photoswitchable Probe that Selectively and Potently Regulates the Transcription Factor RORγ. Angewandte Chemie International Edition. 63(49). e202410139–e202410139. 1 indexed citations
3.
Willems, Sabine, et al.. (2024). Structure-Guided Design of a Highly Potent Partial RXR Agonist with Superior Physicochemical Properties. Journal of Medicinal Chemistry. 67(3). 2152–2164. 5 indexed citations
4.
Mukhopadhyay, Tufan K., et al.. (2023). Development of Light‐Activated LXR Agonists. ChemMedChem. 18(11). e202200647–e202200647. 3 indexed citations
5.
Willems, Sabine, et al.. (2023). De Novo Design of Nurr1 Agonists via Fragment-Augmented Generative Deep Learning in Low-Data Regime. Journal of Medicinal Chemistry. 66(12). 8170–8177. 33 indexed citations
6.
Schubert‐Zsilavecz, Manfred, et al.. (2023). Structural Fusion of Natural and Synthetic Ligand Features Boosts RXR Agonist Potency. Journal of Medicinal Chemistry. 66(24). 16762–16771. 8 indexed citations
7.
Willems, Sabine & Daniel Merk. (2022). Medicinal Chemistry and Chemical Biology of Nurr1 Modulators: An Emerging Strategy in Neurodegeneration. Journal of Medicinal Chemistry. 65(14). 9548–9563. 23 indexed citations
8.
Willems, Sabine, et al.. (2022). Nurr1 Modulation Mediates Neuroprotective Effects of Statins. Advanced Science. 9(18). e2104640–e2104640. 28 indexed citations
9.
Willems, Sabine, Astrid Kaiser, A. Chaikuad, et al.. (2021). Propranolol Activates the Orphan Nuclear Receptor TLX to Counteract Proliferation and Migration of Glioblastoma Cells. Journal of Medicinal Chemistry. 64(12). 8727–8738. 14 indexed citations
10.
Willems, Sabine, et al.. (2021). Development and Profiling of Inverse Agonist Tools for the Neuroprotective Transcription Factor Nurr1. Journal of Medicinal Chemistry. 64(20). 15126–15140. 12 indexed citations
11.
Willems, Sabine, et al.. (2021). A New FXR Ligand Chemotype with Agonist/Antagonist Switch. ACS Medicinal Chemistry Letters. 12(2). 267–274. 11 indexed citations
12.
Willems, Sabine, A. Chaikuad, Stefan Kluge, et al.. (2021). Endogenous vitamin E metabolites mediate allosteric PPARγ activation with unprecedented co-regulatory interactions. Cell chemical biology. 28(10). 1489–1500.e8. 37 indexed citations
13.
Willems, Sabine, et al.. (2021). Fragment-like Chloroquinolineamines Activate the Orphan Nuclear Receptor Nurr1 and Elucidate Activation Mechanisms. Journal of Medicinal Chemistry. 64(5). 2659–2668. 22 indexed citations
14.
Willems, Sabine, Johannes Morstein, Jan Heering, et al.. (2020). Photohormones Enable Optical Control of the Peroxisome Proliferator-Activated Receptor γ (PPARγ). Journal of Medicinal Chemistry. 63(19). 10908–10920. 30 indexed citations
15.
Willems, Sabine, et al.. (2020). Chemical Starting Matter for HNF4α Ligand Discovery and Chemogenomics. International Journal of Molecular Sciences. 21(21). 7895–7895. 19 indexed citations
16.
Willems, Sabine, Xiaomin Ni, A. Chaikuad, et al.. (2020). The orphan nuclear receptor Nurr1 is responsive to non-steroidal anti-inflammatory drugs. Communications Chemistry. 3(1). 85–85. 43 indexed citations
17.
Neumann, Sebastian, et al.. (2020). Design and Structural Optimization of Dual FXR/PPARδ Activators. Journal of Medicinal Chemistry. 63(15). 8369–8379. 23 indexed citations
18.
Morstein, Johannes, Sabine Willems, David M. Barber, et al.. (2019). Optical control of the nuclear bile acid receptor FXR with a photohormone. Chemical Science. 11(2). 429–434. 23 indexed citations
19.
Trienekens, Jacques, et al.. (2007). Innovation and Governance in International Food Supply Chains: The Cases of Ghanaian Pineapples and South African Grapes. The International Food and Agribusiness Management Review. 10(3). 42–63. 21 indexed citations
20.
Amanor‐Boadu, Vincent, et al.. (2002). Paradoxes in food chains and networks, proceedings of the fifth international conference on chain and network management in agribusiness and the food industry. Socio-Environmental Systems Modeling. 909–918. 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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