Patricia Jaaks

2.0k total citations
14 papers, 650 citations indexed

About

Patricia Jaaks is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Patricia Jaaks has authored 14 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Cancer Research. Recurrent topics in Patricia Jaaks's work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Patricia Jaaks is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Patricia Jaaks collaborates with scholars based in Germany, Switzerland and United Kingdom. Patricia Jaaks's co-authors include Michele Bernasconi, Mathew J. Garnett, Julio Sáez-Rodríguez, Francesco Iorio, Beat W. Schäfer, Howard Lightfoot, Federica Eduati, Clare Pacini, James M. McFarland and Emre Karakoç and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Patricia Jaaks

14 papers receiving 643 citations

Peers

Patricia Jaaks

MB

ONCOL

CR

PRM

CTM

Inger Anne Netland Norway

Adam A. Friedman United States

Ann Palladino United States

Yvonne Li Canada

Ronald Realubit United States

Swapnil Potdar Finland

Gretchen A. Repasky United States

Grace R. Anderson United States

Kartik Subramanian United States

Jordan F. Hastings Australia

Inger Anne Netland Norway

Patricia Jaaks

334 ×0.7

MB

126 ×0.8

ONCOL

154 ×1.2

CR

117 ×1.3

PRM

49 ×0.6

CTM

Citations per year, relative to Patricia Jaaks Patricia Jaaks (= 1×) peers Inger Anne Netland

Countries citing papers authored by Patricia Jaaks

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Jaaks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Jaaks

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

All Works

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14 of 14 papers shown

1.

Vis, Daniël J., Patricia Jaaks, Nanne Aben, et al.. (2024). A pan-cancer screen identifies drug combination benefit in cancer cell lines at the individual and population level. Cell Reports Medicine. 5(8). 101687–101687. 4 indexed citations

2.

Pacini, Clare, Joshua M. Dempster, Isabella Boyle, et al.. (2021). Integrated cross-study datasets of genetic dependencies in cancer. Nature Communications. 12(1). 1661–1661. 145 indexed citations

3.

Eduati, Federica, Patricia Jaaks, Thorsten Cramer, et al.. (2020). Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies. Molecular Systems Biology. 16(6). 24 indexed citations

4.

Eduati, Federica, Patricia Jaaks, Thorsten Cramer, et al.. (2020). Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies. Molecular Systems Biology. 16(2). e8664–e8664. 48 indexed citations

5.

Winkler, C, Joshua Armenia, Gemma N. Jones, et al.. (2020). SLFN11 informs on standard of care and novel treatments in a wide range of cancer models. British Journal of Cancer. 124(5). 951–962. 51 indexed citations

6.

Yang, Mi, Patricia Jaaks, Jonathan R. Dry, et al.. (2020). Stratification and prediction of drug synergy based on target functional similarity. npj Systems Biology and Applications. 6(1). 16–16. 41 indexed citations

7.

Lopez-Garcia, Laura A., et al.. (2019). USP19 deubiquitinates EWS-FLI1 to regulate Ewing sarcoma growth. Scientific Reports. 9(1). 31 indexed citations

8.

García‐Alonso, Luz, Francesco Iorio, Angela Matchan, et al.. (2017). Transcription Factor Activities Enhance Markers of Drug Sensitivity in Cancer. Cancer Research. 78(3). 769–780. 107 indexed citations

9.

Jaaks, Patricia & Michele Bernasconi. (2017). The proprotein convertase furin in tumour progression. International Journal of Cancer. 141(4). 654–663. 110 indexed citations

10.

Jaaks, Patricia, et al.. (2017). Prolonged Circulation and Increased Tumor Accumulation of Liposomal Vincristine in a Mouse Model of Rhabdomyosarcoma. Nanomedicine. 12(10). 1135–1151. 14 indexed citations

11.

Jaaks, Patricia, et al.. (2016). The Proprotein Convertase Furin Contributes to Rhabdomyosarcoma Malignancy by Promoting Vascularization, Migration and Invasion. PLoS ONE. 11(8). e0161396–e0161396. 18 indexed citations

12.

Jaaks, Patricia, Peter K. Bode, Ewa Kościelniak, et al.. (2016). The proprotein convertase furin is required to maintain viability of alveolar rhabdomyosarcoma cells. Oncotarget. 7(47). 76743–76755. 7 indexed citations

13.

Casanova, Elisa A., et al.. (2015). Targeting hedgehog signaling reduces self-renewal in embryonal rhabdomyosarcoma. Oncogene. 35(16). 2020–2030. 40 indexed citations

14.

Jaaks, Patricia, et al.. (2015). The catalytic domain of inositol‐1,4,5‐trisphosphate 3‐kinase‐a contributes to ITPKA‐induced modulation of F‐actin. Cytoskeleton. 72(2). 93–100. 10 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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