Nora Rauch

832 total citations
18 papers, 526 citations indexed

About

Nora Rauch is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Nora Rauch has authored 18 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 4 papers in Cell Biology. Recurrent topics in Nora Rauch's work include Melanoma and MAPK Pathways (11 papers), Computational Drug Discovery Methods (9 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Nora Rauch is often cited by papers focused on Melanoma and MAPK Pathways (11 papers), Computational Drug Discovery Methods (9 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Nora Rauch collaborates with scholars based in Ireland, United Kingdom and United States. Nora Rauch's co-authors include Walter Kölch, Boris Ν. Kholodenko, Oleksii S. Rukhlenko, Ruth Pilkington, Amaya Garcia Muñoz, Melinda Halász, Alex von Kriegsheim, Javier Rodríguez, Lan K. Nguyen and Cormac T. Taylor and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Nora Rauch

17 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nora Rauch Ireland	10	426	139	91	88	50	18	526
Aparna Gorthi United States	13	548 1.3×	129 0.9×	147 1.6×	96 1.1×	39 0.8×	23	754
Raphaela Fritsche‐Guenther Germany	11	423 1.0×	90 0.6×	101 1.1×	51 0.6×	64 1.3×	27	580
Kelli M. Wilson United States	16	455 1.1×	74 0.5×	164 1.8×	86 1.0×	29 0.6×	41	768
Emanuel Gonçalves United Kingdom	17	757 1.8×	179 1.3×	131 1.4×	84 1.0×	56 1.1×	31	940
Hung-I Harry Chen United States	10	446 1.0×	199 1.4×	50 0.5×	105 1.2×	27 0.5×	12	662
Dorit Arlt Germany	14	673 1.6×	243 1.7×	119 1.3×	59 0.7×	30 0.6×	17	823
Nicholas P. Gauthier United States	12	510 1.2×	103 0.7×	60 0.7×	42 0.5×	41 0.8×	19	655
Taejeong Bae United States	11	498 1.2×	179 1.3×	60 0.7×	82 0.9×	65 1.3×	23	649
Yihong Yu China	9	284 0.7×	74 0.5×	94 1.0×	81 0.9×	28 0.6×	15	453
Pau Creixell United States	12	643 1.5×	165 1.2×	88 1.0×	104 1.2×	64 1.3×	17	802

Countries citing papers authored by Nora Rauch

Since Specialization

Citations

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

Fields of papers citing papers by Nora Rauch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nora Rauch

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

All Works

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18 of 18 papers shown

1.

Walsh, Ciara M., Ross F. Collery, John O’Connor, et al.. (2024). Emc1 is essential for vision and zebrafish photoreceptor outer segment morphogenesis. The FASEB Journal. 38(19). e70086–e70086.

2.

Robertson, Sarah A., Nora Rauch, Kieran Wynne, et al.. (2024). Cell-specific models reveal conformation-specific RAF inhibitor combinations that synergistically inhibit ERK signaling in pancreatic cancer cells. Cell Reports. 43(9). 114710–114710. 3 indexed citations

3.

Rauch, Nora, Leonidas G. Alexopoulos, Jens Rauch, et al.. (2023). A Combination of Conformation-Specific RAF Inhibitors Overcome Drug Resistance Brought about by RAF Overexpression. Biomolecules. 13(8). 1212–1212. 5 indexed citations

4.

Krstić, Aleksandar, Cristina Casalou, Nora Rauch, et al.. (2023). Kinase Suppressor of RAS 1 (KSR1) Maintains the Transformed Phenotype of BRAFV600E Mutant Human Melanoma Cells. International Journal of Molecular Sciences. 24(14). 11821–11821. 5 indexed citations

5.

Rauch, Nora, et al.. (2023). Interactome dynamics of RAF1-BRAF kinase monomers and dimers. Scientific Data. 10(1). 203–203. 5 indexed citations

6.

Rukhlenko, Oleksii S., Melinda Halász, Nora Rauch, et al.. (2022). Control of cell state transitions. Nature. 609(7929). 975–985. 48 indexed citations

7.

Kholodenko, Boris Ν., Nora Rauch, Walter Kölch, & Oleksii S. Rukhlenko. (2021). A systematic analysis of signaling reactivation and drug resistance. Cell Reports. 35(8). 109157–109157. 25 indexed citations

8.

Rukhlenko, Oleksii S., Aleksandar Krstić, Leonidas G. Alexopoulos, et al.. (2018). Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling. Cell Systems. 7(2). 161–179.e14. 50 indexed citations

9.

Rodríguez, Javier, Ana Herrero, Shuijie Li, et al.. (2018). PHD3 Regulates p53 Protein Stability by Hydroxylating Proline 359. Cell Reports. 24(5). 1316–1329. 51 indexed citations

10.

Verlande, Amandine, Michaela Krafčíková, David Potěšil, et al.. (2017). Metabolic stress regulates ERK activity by controlling KSR‐RAF heterodimerization. EMBO Reports. 19(2). 320–336. 12 indexed citations

11.

Raso, Cinzia, Susan Kennedy, Nora Rauch, et al.. (2017). A novel RNA sequencing data analysis method for cell line authentication. PLoS ONE. 12(2). e0171435–e0171435. 18 indexed citations

12.

Rodríguez, Javier, Ruth Pilkington, Amaya Garcia Muñoz, et al.. (2016). Substrate-Trapped Interactors of PHD3 and FIH Cluster in Distinct Signaling Pathways. Cell Reports. 14(11). 2745–2760. 68 indexed citations

13.

Rauch, Nora, Mohamed Ali Jarboui, Armin Zebisch, et al.. (2016). Autophosphorylation on S614 inhibits the activity and the transforming potential of BRAF. Cellular Signalling. 28(9). 1432–1439. 5 indexed citations

14.

Rauch, Nora, Oleksii S. Rukhlenko, Walter Kölch, & Boris Ν. Kholodenko. (2016). MAPK kinase signalling dynamics regulate cell fate decisions and drug resistance. Current Opinion in Structural Biology. 41. 151–158. 67 indexed citations

15.

Baljuls, Angela, Maciej Dobrzyński, Jens Rauch, Nora Rauch, & Walter Kölch. (2016). Stabilization of C-RAF:KSR1 complex by DiRas3 reduces availability of C-RAF for dimerization with B-RAF. Cellular Signalling. 28(10). 1451–1462. 6 indexed citations

16.

Fey, Dirk, Melinda Halász, Daniel Dreidax, et al.. (2015). Signaling pathway models as biomarkers: Patient-specific simulations of JNK activity predict the survival of neuroblastoma patients. Science Signaling. 8(408). ra130–ra130. 116 indexed citations

17.

Jambrina, Pablo G., Nora Rauch, Ruth Pilkington, et al.. (2015). Phosphorylation of RAF Kinase Dimers Drives Conformational Changes that Facilitate Transactivation. Angewandte Chemie International Edition. 55(3). 983–986. 41 indexed citations

18.

Jambrina, Pablo G., Nora Rauch, Ruth Pilkington, et al.. (2015). Phosphorylation of RAF Kinase Dimers Drives Conformational Changes that Facilitate Transactivation. Angewandte Chemie. 128(3). 995–998. 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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