Clara Tan

2.0k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Clara Tan is a scholar working on Molecular Biology, Immunology and Allergy and Cancer Research. According to data from OpenAlex, Clara Tan has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and Allergy and 3 papers in Cancer Research. Recurrent topics in Clara Tan's work include Cell Adhesion Molecules Research (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Clara Tan is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Clara Tan collaborates with scholars based in Canada, United Kingdom and Spain. Clara Tan's co-authors include Shoukat Dedhar, Virginia Gray, James R. Woodgett, Marc Delcommenne, Jasbinder S. Sanghera, Armelle A. Troussard, Penny Costello, Thillainathan Yoganathan, Josep Baulida and Antonio Garcı́a de Herreros and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Clara Tan

8 papers receiving 1.7k citations

Hit Papers

Phosphoinositide-3-OH kinase-dependent regulation of glyc... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara Tan Canada 8 1.2k 694 415 292 262 8 1.7k
Sarah Attwell United States 11 1.2k 1.0× 610 0.9× 349 0.8× 251 0.9× 248 0.9× 24 1.7k
Virginia Gray Canada 13 1.7k 1.4× 1.1k 1.6× 666 1.6× 310 1.1× 356 1.4× 13 2.5k
Fabrizio Dolfi United States 7 879 0.7× 301 0.4× 330 0.8× 202 0.7× 175 0.7× 8 1.3k
Armelle A. Troussard Canada 16 1.7k 1.4× 1.1k 1.6× 596 1.4× 545 1.9× 488 1.9× 19 2.7k
Lorenza Wyder Switzerland 11 850 0.7× 382 0.6× 219 0.5× 207 0.7× 225 0.9× 13 1.2k
Marie Kveiborg Denmark 27 1.0k 0.8× 294 0.4× 167 0.4× 623 2.1× 301 1.1× 47 1.8k
Husna Abedi United Kingdom 9 805 0.7× 318 0.5× 195 0.5× 165 0.6× 219 0.8× 9 1.1k
Colin Walsh United States 12 644 0.5× 411 0.6× 316 0.8× 266 0.9× 176 0.7× 18 1.1k
J. Robert Grammer United States 15 529 0.4× 363 0.5× 280 0.7× 181 0.6× 264 1.0× 19 929
Kristin Roovers United States 6 966 0.8× 160 0.2× 284 0.7× 310 1.1× 139 0.5× 7 1.3k

Countries citing papers authored by Clara Tan

Since Specialization
Citations

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

Fields of papers citing papers by Clara Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Tan

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

All Works

8 of 8 papers shown
1.
Wu, Colleen, Jane Cipollone, Sarah Maines‐Bandiera, et al.. (2007). The morphogenic function of E-cadherin-mediated adherens junctions in epithelial ovarian carcinoma formation and progression. Differentiation. 76(2). 193–205. 42 indexed citations
2.
Peacock, James W., Clara Tan, Alice Mui, et al.. (2006). Inhibition of the Phosphatidylinositol 3′-Kinase Pathway Promotes Autocrine Fas-Induced Death of Phosphatase and Tensin Homologue–Deficient Prostate Cancer Cells. Cancer Research. 66(9). 4781–4788. 35 indexed citations
3.
Tan, Clara, Séverine Cruet-Hennequart, Armelle A. Troussard, et al.. (2004). Regulation of tumor angiogenesis by integrin-linked kinase (ILK). Cancer Cell. 5(1). 79–90. 229 indexed citations
4.
Tan, Clara, Alice Mui, & Shoukat Dedhar. (2002). Integrin-linked Kinase Regulates Inducible Nitric Oxide Synthase and Cyclooxygenase-2 Expression in an NF-κB-dependent Manner. Journal of Biological Chemistry. 277(5). 3109–3116. 69 indexed citations
5.
Marotta, A., Clara Tan, Virginia Gray, et al.. (2001). Dysregulation of integrin-linked kinase (ILK) signaling in colonic polyposis. Oncogene. 20(43). 6250–6257. 67 indexed citations
7.
Troussard, Armelle A., Clara Tan, Thillainathan Yoganathan, & Shoukat Dedhar. (1999). Cell-Extracellular Matrix Interactions Stimulate the AP-1 Transcription Factor in an Integrin-Linked Kinase- and Glycogen Synthase Kinase 3-Dependent Manner. Molecular and Cellular Biology. 19(11). 7420–7427. 138 indexed citations
8.
Delcommenne, Marc, et al.. (1998). Phosphoinositide-3-OH kinase-dependent regulation of glycogen synthase kinase 3 and protein kinase B/AKT by the integrin-linked kinase. Proceedings of the National Academy of Sciences. 95(19). 11211–11216. 924 indexed citations breakdown →

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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