Manuela Gridling

1.8k total citations
17 papers, 1.0k citations indexed

About

Manuela Gridling is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Manuela Gridling has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Manuela Gridling's work include PI3K/AKT/mTOR signaling in cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Manuela Gridling is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Manuela Gridling collaborates with scholars based in Austria, United States and United Kingdom. Manuela Gridling's co-authors include Giulio Superti‐Furga, Jacques Colinge, K. Huber, Keiryn L. Bennett, Alexey Stukalov, Branka Radic-Sarikas, Georg E. Winter, Stefan Kubicek, Uwe Rix and Kumar Sanjiv and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Manuela Gridling

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuela Gridling Austria 13 672 269 126 108 97 17 1.0k
Yongxia Zhu China 20 798 1.2× 313 1.2× 170 1.3× 116 1.1× 137 1.4× 64 1.3k
Ting Song China 19 796 1.2× 202 0.8× 181 1.4× 127 1.2× 58 0.6× 73 1.1k
Xiang-ju Gu United States 11 522 0.8× 197 0.7× 116 0.9× 70 0.6× 109 1.1× 12 911
Xuejiao Song China 19 508 0.8× 219 0.8× 150 1.2× 92 0.9× 122 1.3× 37 943
Linda Rickardson Sweden 18 705 1.0× 290 1.1× 82 0.7× 91 0.8× 219 2.3× 28 1.1k
Cynthia D. Sommers United States 17 566 0.8× 177 0.7× 152 1.2× 140 1.3× 98 1.0× 39 1.1k
Richard Gowan United States 6 706 1.1× 315 1.2× 139 1.1× 57 0.5× 94 1.0× 7 944
Kanami Yamazaki Japan 17 892 1.3× 334 1.2× 238 1.9× 67 0.6× 203 2.1× 27 1.4k
Wen‐Hsing Lin Taiwan 19 569 0.8× 260 1.0× 212 1.7× 68 0.6× 58 0.6× 45 987

Countries citing papers authored by Manuela Gridling

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Gridling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Gridling

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

All Works

17 of 17 papers shown
1.
Fauster, Astrid, Manuele Rebsamen, K. Huber, et al.. (2015). A cellular screen identifies ponatinib and pazopanib as inhibitors of necroptosis. Cell Death and Disease. 6(5). e1767–e1767. 159 indexed citations
2.
Babak, Maria V., Samuel M. Meier, K. Huber, et al.. (2015). Target profiling of an antimetastatic RAPTA agent by chemical proteomics: relevance to the mode of action. Chemical Science. 6(4). 2449–2456. 121 indexed citations
3.
Peter, Barbara, Georg E. Winter, K. Blatt, et al.. (2015). Target interaction profiling of midostaurin and its metabolites in neoplastic mast cells predicts distinct effects on activation and growth. Leukemia. 30(2). 464–472. 43 indexed citations
4.
Radic-Sarikas, Branka, Uwe Rix, Alexey Stukalov, et al.. (2015). Enhancing cognate target elution efficiency in gel-free chemical proteomics. SHILAP Revista de lepidopterología. 9. 43–53. 2 indexed citations
5.
Gridling, Manuela, Scott B. Ficarro, Florian P. Breitwieser, et al.. (2014). Identification of Kinase Inhibitor Targets in the Lung Cancer Microenvironment by Chemical and Phosphoproteomics. Molecular Cancer Therapeutics. 13(11). 2751–2762. 20 indexed citations
6.
Huber, K., E. Salah, Branka Radic-Sarikas, et al.. (2014). Stereospecific targeting of MTH1 by (S)-crizotinib as an anticancer strategy. Nature. 508(7495). 222–227. 299 indexed citations
7.
Winter, Georg E., Branka Radic-Sarikas, Cristina Mayor‐Ruiz, et al.. (2014). The solute carrier SLC35F2 enables YM155-mediated DNA damage toxicity. Nature Chemical Biology. 10(9). 768–773. 128 indexed citations
8.
Giansanti, Piero, Christian Preisinger, K. Huber, et al.. (2014). Evaluating the Promiscuous Nature of Tyrosine Kinase Inhibitors Assessed in A431 Epidermoid Carcinoma Cells by Both Chemical- and Phosphoproteomics. ACS Chemical Biology. 9(7). 1490–1498. 17 indexed citations
9.
Borgdorff, Viola, Uwe Rix, Georg E. Winter, et al.. (2013). A chemical biology approach identifies AMPK as a modulator of melanoma oncogene MITF. Oncogene. 33(19). 2531–2539. 26 indexed citations
10.
Rix, Uwe, Jacques Colinge, Katharina Blatt, et al.. (2013). A Target-Disease Network Model of Second-Generation BCR-ABL Inhibitor Action in Ph+ ALL. PLoS ONE. 8(10). e77155–e77155. 12 indexed citations
11.
Rix, Uwe, Alexey Stukalov, Manuela Gridling, et al.. (2013). A Miniaturized Chemical Proteomic Approach for Target Profiling of Clinical Kinase Inhibitors in Tumor Biopsies. Journal of Proteome Research. 12(9). 4005–4017. 14 indexed citations
12.
Winter, Georg E., Uwe Rix, Scott M. Carlson, et al.. (2012). Systems-pharmacology dissection of a drug synergy in imatinib-resistant CML. Nature Chemical Biology. 8(11). 905–912. 78 indexed citations
13.
Rix, Uwe, Manuela Gridling, & Giulio Superti‐Furga. (2011). Compound Immobilization and Drug-Affinity Chromatography. Methods in molecular biology. 803. 25–38. 11 indexed citations
14.
Özmen, Ali, Sibylle Madlener, Sabine Bauer, et al.. (2009). In vitro anti-leukemic activity of the ethno-pharmacological plant Scutellaria orientalis ssp. carica endemic to western Turkey. Phytomedicine. 17(1). 55–62. 38 indexed citations
15.
Madlener, Sibylle, Zsuzsanna Bagó-Horváth, Irene Herbacek, et al.. (2009). Pro- and anticarcinogenic mechanisms of piceatannol are activated dose dependently in MCF-7 breast cancer cells. Carcinogenesis. 31(12). 2074–2081. 26 indexed citations
16.
Madlener, Sibylle, Margit Rosner, Stephanie Krieger, et al.. (2009). Short 42 C heat shock induces phosphorylation and degradation of Cdc25A which depends on p38MAPK, Chk2 and 14.3.3. Human Molecular Genetics. 18(11). 1990–2000. 18 indexed citations
17.
Gridling, Manuela. (2008). Analysis of ethno-medical plants of the maya of Central America for the development of new lead compounds against cancer. University of Vienna. 71(5). 517–25. 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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