Juran Kato‐Stankiewicz

594 total citations
9 papers, 484 citations indexed

About

Juran Kato‐Stankiewicz is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Juran Kato‐Stankiewicz has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Juran Kato‐Stankiewicz's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer-related Molecular Pathways (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Juran Kato‐Stankiewicz is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Cancer-related Molecular Pathways (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Juran Kato‐Stankiewicz collaborates with scholars based in United States, Japan and Germany. Juran Kato‐Stankiewicz's co-authors include Fuyuhiko Tamanoi, Jiang Chen, Lea Guo, Hironori Edamatsu, Iara M.P. Machado, Roman Deniskin, Jun Urano, Paul‐Joseph Aspuria, Takaya Satoh and Erica A. Golemis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Juran Kato‐Stankiewicz

8 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juran Kato‐Stankiewicz United States 7 347 169 68 54 40 9 484
Sandhya Kumaraswamy United States 5 909 2.6× 203 1.2× 59 0.9× 100 1.9× 42 1.1× 9 1.1k
Jeannette Gogel Germany 7 371 1.1× 149 0.9× 60 0.9× 70 1.3× 19 0.5× 8 471
Alina Castell Sweden 12 629 1.8× 258 1.5× 63 0.9× 68 1.3× 19 0.5× 17 755
Susanne Worpenberg Switzerland 10 492 1.4× 193 1.1× 45 0.7× 51 0.9× 27 0.7× 10 587
Ulf Eidhoff Switzerland 6 329 0.9× 161 1.0× 45 0.7× 40 0.7× 30 0.8× 8 388
Jennifer E. Kung United States 8 248 0.7× 134 0.8× 31 0.5× 95 1.8× 23 0.6× 10 587
Arnhild Grothey United Kingdom 13 308 0.9× 104 0.6× 62 0.9× 51 0.9× 17 0.4× 18 465
Ulrike Künzel Germany 6 247 0.7× 149 0.9× 30 0.4× 74 1.4× 17 0.4× 8 411
Sumit Deswal Germany 10 330 1.0× 147 0.9× 17 0.3× 37 0.7× 27 0.7× 12 478
Roberto Bitton United States 9 427 1.2× 107 0.6× 17 0.3× 68 1.3× 46 1.1× 10 556

Countries citing papers authored by Juran Kato‐Stankiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Juran Kato‐Stankiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juran Kato‐Stankiewicz. 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 Juran Kato‐Stankiewicz. The network helps show where Juran Kato‐Stankiewicz may publish in the future.

Co-authorship network of co-authors of Juran Kato‐Stankiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Juran Kato‐Stankiewicz. A scholar is included among the top collaborators of Juran Kato‐Stankiewicz 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 Juran Kato‐Stankiewicz. Juran Kato‐Stankiewicz 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.
Yu, Fuqu, Josephine N. Harada, Helen Brown, et al.. (2007). Systematic Identification of Cellular Signals Reactivating Kaposi Sarcoma–Associated Herpesvirus. PLoS Pathogens. 3(3). e44–e44. 84 indexed citations
2.
Khazak, Vladimir, et al.. (2006). Yeast Screens for Inhibitors of Ras–Raf Interaction and Characterization of MCP Inhibitors of Ras–Raf Interaction. Methods in enzymology on CD-ROM/Methods in enzymology. 407. 612–629. 4 indexed citations
3.
Urano, Jun, Lea Guo, Paul‐Joseph Aspuria, et al.. (2005). Identification of novel single amino acid changes that result in hyperactivation of the unique GTPase, Rheb, in fission yeast. Molecular Microbiology. 58(4). 1074–1086. 73 indexed citations
4.
5.
Kato‐Stankiewicz, Juran, Lea Guo, Ramasamy Paulmurugan, et al.. (2004). The small molecule compound, MCP1, inhibits Ras-Raf interaction in mammalian cells and induces apoptosis in various hematopoietic cancer cells. Cancer Research. 64. 1300–1300. 1 indexed citations
6.
Kato‐Stankiewicz, Juran, Gang Zhi, Jie Zhang, et al.. (2002). Inhibitors of Ras/Raf-1 interaction identified by two-hybrid screening revert Ras-dependent transformation phenotypes in human cancer cells. Proceedings of the National Academy of Sciences. 99(22). 14398–14403. 116 indexed citations
7.
Tamanoi, Fuyuhiko, et al.. (2001). Farnesylated proteins and cell cycle progression. Journal of Cellular Biochemistry. 84(S37). 64–70. 55 indexed citations
8.
Kato‐Stankiewicz, Juran, Shuji Ueda, Tohru Kataoka, Yoshito Kaziro, & Takaya Satoh. (2001). Epidermal Growth Factor Stimulation of the ACK1/Dbl Pathway in a Cdc42 and Grb2-Dependent Manner. Biochemical and Biophysical Research Communications. 284(2). 470–477. 42 indexed citations
9.
Tamanoi, Fuyuhiko, et al.. (2001). Protein farnesylation in mammalian cells: effects of farnesyltransferase inhibitors on cancer cells. Cellular and Molecular Life Sciences. 58(11). 1636–1649. 66 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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