Marion Rusch

987 total citations
19 papers, 800 citations indexed

About

Marion Rusch is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Marion Rusch has authored 19 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Organic Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Marion Rusch's work include Computational Drug Discovery Methods (5 papers), Click Chemistry and Applications (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Marion Rusch is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Click Chemistry and Applications (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Marion Rusch collaborates with scholars based in Germany, Switzerland and United States. Marion Rusch's co-authors include Christian Hedberg, Herbert Waldmann, Frank J. Dekker, Philippe I. H. Bastiaens, Nachiket Vartak, Stefan Wetzel, Steffen Renner, Beate Schölermann, Geoffrey W. Coates and Oliver Rocks and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Blood.

In The Last Decade

Marion Rusch

19 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Rusch Germany 12 589 198 178 154 87 19 800
Virneliz Fernández-Vega United States 15 460 0.8× 159 0.8× 155 0.9× 82 0.5× 45 0.5× 35 738
Jaimeen D. Majmudar United States 15 567 1.0× 163 0.8× 142 0.8× 113 0.7× 26 0.3× 24 813
Jed Long United Kingdom 18 556 0.9× 109 0.6× 185 1.0× 120 0.8× 46 0.5× 28 862
Ganka Bineva‐Todd United Kingdom 11 588 1.0× 111 0.6× 162 0.9× 110 0.7× 30 0.3× 15 805
Andrew R. Bayly United Kingdom 4 694 1.2× 239 1.2× 129 0.7× 54 0.4× 57 0.7× 4 945
Anchal Chandra United States 8 1.1k 1.9× 116 0.6× 244 1.4× 369 2.4× 53 0.6× 17 1.4k
E. Salah United Kingdom 19 1.0k 1.8× 172 0.9× 239 1.3× 139 0.9× 37 0.4× 47 1.4k
Zan Chen China 20 659 1.1× 331 1.7× 162 0.9× 58 0.4× 37 0.4× 57 1.2k
Bainan Wu United States 22 880 1.5× 150 0.8× 244 1.4× 87 0.6× 102 1.2× 28 1.2k
Janis de la Iglesia-Vicente Spain 15 592 1.0× 181 0.9× 214 1.2× 98 0.6× 50 0.6× 19 1.0k

Countries citing papers authored by Marion Rusch

Since Specialization
Citations

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

Fields of papers citing papers by Marion Rusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Rusch

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

All Works

19 of 19 papers shown
1.
Pahl, Axel, Beate Schölermann, Philipp Lampe, et al.. (2023). Morphological subprofile analysis for bioactivity annotation of small molecules. Cell chemical biology. 30(7). 839–853.e7. 25 indexed citations
2.
Rusch, Marion, Arnaud Thevenon, Dominic Hoepfner, et al.. (2018). Design and Synthesis of Metabolically Stable tRNA Synthetase Inhibitors Derived from Cladosporin. ChemBioChem. 20(5). 644–649. 13 indexed citations
3.
Bouchez, Laure C., et al.. (2017). ‘Wake-Up Call of A Sleeping Beauty’: Straightforward Synthesis of Functionalized β-(2-Pyridyl) Ketones from 2,6-Lutidine. Synlett. 28(10). 1219–1223. 1 indexed citations
4.
Bouchez, Laure C., Marion Rusch, & Marie‐Hélène Larraufie. (2016). Diels-Alder Cycloaddition in Medicinal Chemistry. Current Organic Chemistry. 20(22). 2358–2378. 10 indexed citations
5.
Rusch, Marion, Nachiket Vartak, Christian Jüngst, et al.. (2015). miRs-138 and -424 control palmitoylation-dependent CD95-mediated cell death by targeting acyl protein thioesterases 1 and 2 in CLL. Blood. 125(19). 2948–2957. 49 indexed citations
6.
Rusch, Marion, Alexander Adibekian, Hayley E. Bullen, et al.. (2013). Characterization of a Serine Hydrolase Targeted by Acyl-protein Thioesterase Inhibitors in Toxoplasma gondii. Journal of Biological Chemistry. 288(38). 27002–27018. 21 indexed citations
7.
Gersch, Malte, Vadim S. Korotkov, Johannes Lehmann, et al.. (2013). The Mechanism of Caseinolytic Protease (ClpP) Inhibition. Angewandte Chemie International Edition. 52(10). 3009–3014. 46 indexed citations
8.
Gallastegui, Nerea, et al.. (2013). Omuralide and Vibralactone: Differences in the Proteasome‐ β‐Lactone‐γ‐Lactam Binding Scaffold Alter Target Preferences. Angewandte Chemie International Edition. 53(2). 571–574. 21 indexed citations
9.
Gersch, Malte, Vadim S. Korotkov, Johannes Lehmann, et al.. (2013). Der Inhibitionsmechanismus der caseinolytischen Protease (ClpP). Angewandte Chemie. 125(10). 3083–3088. 8 indexed citations
10.
Gallastegui, Nerea, et al.. (2013). Omuralid und Vibralacton: Unterschiede im Proteasom‐β‐Lacton‐γ‐Lactamgerüst verändern die Zielmolekülpräferenz. Angewandte Chemie. 126(2). 582–585. 5 indexed citations
11.
Rusch, Marion, Marco Bürger, Frank J. Dekker, et al.. (2011). Identification of Acyl Protein Thioesterases 1 and 2 as the Cellular Targets of the Ras‐Signaling Modulators Palmostatin B and M. Angewandte Chemie International Edition. 50(42). 9838–9842. 101 indexed citations
12.
Hedberg, Christian, Frank J. Dekker, Marion Rusch, et al.. (2011). Development of Highly Potent Inhibitors of the Ras‐Targeting Human Acyl Protein Thioesterases Based on Substrate Similarity Design. Angewandte Chemie International Edition. 50(42). 9832–9837. 66 indexed citations
13.
Rusch, Marion, et al.. (2011). Design, synthesis and evaluation of polar head group containing 2-keto-oxazole inhibitors of FAAH. Bioorganic & Medicinal Chemistry. 20(2). 1100–1112. 11 indexed citations
14.
Hedberg, Christian, Frank J. Dekker, Marion Rusch, et al.. (2011). Development of Highly Potent Inhibitors of the Ras‐Targeting Human Acyl Protein Thioesterases Based on Substrate Similarity Design. Angewandte Chemie. 123(42). 10006–10011. 10 indexed citations
15.
Rusch, Marion, Marco Bürger, Frank J. Dekker, et al.. (2011). Identification of Acyl Protein Thioesterases 1 and 2 as the Cellular Targets of the Ras‐Signaling Modulators Palmostatin B and M. Angewandte Chemie. 123(42). 10012–10016. 15 indexed citations
16.
Dekker, Frank J., Oliver Rocks, Nachiket Vartak, et al.. (2010). Small-molecule inhibition of APT1 affects Ras localization and signaling. Nature Chemical Biology. 6(6). 449–456. 331 indexed citations
17.
Rusch, Marion, et al.. (2009). A Pd-Catalyzed Heteroannulation Approach to 2,3-Disubstituted Furo[3,2-c]coumarins. Organic Letters. 11(22). 5254–5257. 51 indexed citations
18.
Warwel, Siegfried, et al.. (2001). Surfactants from glucamines and α-epoxides. Tenside Surfactants Detergents. 38(1). 7–15. 4 indexed citations
19.
Rusch, Marion, et al.. (1995). Transition‐metal Catalyzed Oxidative Cleavage of Unsaturated Fatty Acids. Fette Seifen Anstrichmittel. 97(10). 359–367. 12 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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