Doris A. Schuetz

531 total citations
9 papers, 198 citations indexed

About

Doris A. Schuetz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Doris A. Schuetz has authored 9 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Doris A. Schuetz's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Doris A. Schuetz is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Doris A. Schuetz collaborates with scholars based in Austria, Canada and United States. Doris A. Schuetz's co-authors include Gerhard F. Ecker, Arthur Garon, Thomas Seidel, Thierry Langer, Djordje Müsil, Hans‐Michael Eggenweiler, Lars Richter, Riccardo Martini, Maurizio Recanatini and Andrea Cavalli and has published in prestigious journals such as Science, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

Doris A. Schuetz

8 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doris A. Schuetz Austria 6 152 113 24 24 19 9 198
Amr H. Mahmoud Switzerland 9 153 1.0× 83 0.7× 36 1.5× 49 2.0× 13 0.7× 20 233
Egidijus Kazlauskas Lithuania 8 210 1.4× 99 0.9× 62 2.6× 34 1.4× 16 0.8× 14 286
Bogdan Zagribelnyy Russia 4 124 0.8× 111 1.0× 38 1.6× 44 1.8× 12 0.6× 8 233
Linkai Mou China 6 269 1.8× 134 1.2× 28 1.2× 23 1.0× 10 0.5× 11 309
Ken Borrelli United States 4 228 1.5× 132 1.2× 48 2.0× 32 1.3× 18 0.9× 5 284
Manon Réau France 8 209 1.4× 163 1.4× 17 0.7× 69 2.9× 18 0.9× 11 318
Rabindra V. Shivnaraine United States 8 151 1.0× 42 0.4× 22 0.9× 11 0.5× 24 1.3× 12 233
Maryse Lowinski United States 4 202 1.3× 85 0.8× 16 0.7× 50 2.1× 11 0.6× 4 271
Karthikeyan Swaminathan United States 5 99 0.7× 91 0.8× 14 0.6× 28 1.2× 11 0.6× 10 197
Kazuyoshi Ikeda Japan 10 175 1.2× 75 0.7× 18 0.8× 30 1.3× 8 0.4× 28 226

Countries citing papers authored by Doris A. Schuetz

Since Specialization
Citations

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

Fields of papers citing papers by Doris A. Schuetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doris A. Schuetz. 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 Doris A. Schuetz. The network helps show where Doris A. Schuetz may publish in the future.

Co-authorship network of co-authors of Doris A. Schuetz

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

All Works

9 of 9 papers shown
1.
Lavoie, Hugo, Ting Jin, Marion Décossas, et al.. (2025). BRAF oncogenic mutants evade autoinhibition through a common mechanism. Science. 388(6750). eadp2742–eadp2742. 2 indexed citations
2.
Moison, Céline, Doris A. Schuetz, Jean-François Spinella, et al.. (2025). DDB1 engagement defines the selectivity of S656 analogs for cyclin K degradation over CDK inhibition. EMBO Reports. 26(11). 2836–2854.
3.
Schuetz, Doris A., et al.. (2024). Aprender a aprender en entornos virtuales: cómo adaptar estrategias metacognitivas al aprendizaje en línea. Dialnet (Universidad de la Rioja). 3(1). 17–27. 2 indexed citations
4.
Schuetz, Doris A., Tomasz Maciej Stępniewski, Yoon Namkung, et al.. (2021). Discovery of a dual Ras and ARF6 inhibitor from a GPCR endocytosis screen. Nature Communications. 12(1). 4688–4688. 10 indexed citations
5.
Schuetz, Doris A., Lars Richter, Riccardo Martini, & Gerhard F. Ecker. (2020). A structure–kinetic relationship study using matched molecular pair analysis. RSC Medicinal Chemistry. 11(11). 1285–1294. 18 indexed citations
6.
Seidel, Thomas, Doris A. Schuetz, Arthur Garon, & Thierry Langer. (2019). The Pharmacophore Concept and Its Applications in Computer-Aided Drug Design. Fortschritte der Chemie Organischer Naturstoffe/Fortschritte der Chemie organischer Naturstoffe/Progress in the chemistry of organic natural products. 110. 99–141. 54 indexed citations
7.
Schuetz, Doris A., Thomas Seidel, Arthur Garon, et al.. (2018). GRAIL: GRids of phArmacophore Interaction fieLds. Journal of Chemical Theory and Computation. 14(9). 4958–4970. 14 indexed citations
8.
Schuetz, Doris A., Mattia Bernetti, Djordje Müsil, et al.. (2018). Predicting Residence Time and Drug Unbinding Pathway through Scaled Molecular Dynamics. Journal of Chemical Information and Modeling. 59(1). 535–549. 56 indexed citations
9.
Schuetz, Doris A., Lars Richter, Marta Amaral, et al.. (2018). Ligand Desolvation Steers On-Rate and Impacts Drug Residence Time of Heat Shock Protein 90 (Hsp90) Inhibitors. Journal of Medicinal Chemistry. 61(10). 4397–4411. 42 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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