Sabine Willems

28 papers receiving 482 citations

Peers

Sabine Willems
Comparison fields: 5 of 85
  • Molecular Biology 216
  • Cellular and Molecular Neuroscience 197
  • Organic Chemistry 127
  • Immunology 90
  • Computational Theory and Mathematics 90
Replace Edmond F. O’Donnell with:
Edmond F. O’Donnell United States
Carole Peluso‐Iltis France
Keshav Karki United States
Xueyang Jiang China
Letizia Crocetti Italy
Noriko Uchiyama Japan
Tony Eight Lin Taiwan
Guofen Zhu United States
Athena Sudom United States
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Sabine Willems relative to Edmond F. O’Donnell United States Edmond F. O’Donnell's profile →
Citations per field
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Edmond F. O’Donnell · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 5
4 4
5 3
6 33
7 8
8 28
9 23
10 14
11 12
12 37
13 11
14 30
15 19
16 43
17 23
18 30
19
Research agenda on safe and high quality international food chains
2
20
Paradoxes in food chains and networks, proceedings of the fifth international conference on chain and network management in agribusiness and the food industry
1

About Sabine Willems

Sabine Willems is a scholar working on Cellular and Molecular Neuroscience, Business and International Management and Computational Theory and Mathematics, having authored 29 papers that have together received 506 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (11 papers), Computational Drug Discovery Methods (6 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (197 citations), Business and International Management (16 citations) and Computational Theory and Mathematics (90 citations). Sabine Willems has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Daniel Merk, Jan Heering, A. Chaikuad, Stefan Knapp, Julian A. Marschner, Xiaomin Ni, Astrid Kaiser, Johannes Morstein, Dirk Trauner and Jacques Trienekens. Their work appears in journals such as Angewandte Chemie International Edition, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

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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