Leda Raptis

1.1k total citations
53 papers, 801 citations indexed

About

Leda Raptis is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Leda Raptis has authored 53 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Oncology and 14 papers in Biotechnology. Recurrent topics in Leda Raptis's work include Microbial Inactivation Methods (14 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Connexins and lens biology (10 papers). Leda Raptis is often cited by papers focused on Microbial Inactivation Methods (14 papers), Cytokine Signaling Pathways and Interactions (12 papers) and Connexins and lens biology (10 papers). Leda Raptis collaborates with scholars based in Canada, United States and France. Leda Raptis's co-authors include Rozanne Arulanandam, Mulu Geletu, Adina Vultur, James Turkson, Bruce E. Elliott, Jun Cao, Richard Jove, Aikaterini Anagnostopoulou, Hélène Feracci and Andrew W. Craig and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Research and Analytical Biochemistry.

In The Last Decade

Leda Raptis

53 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leda Raptis Canada 17 520 257 117 99 94 53 801
A Frankel Canada 9 716 1.4× 341 1.3× 173 1.5× 63 0.6× 175 1.9× 13 1.1k
Abha Saxena India 15 754 1.4× 282 1.1× 96 0.8× 66 0.7× 100 1.1× 32 1.3k
Jeou-Yuan Chen Taiwan 15 606 1.2× 265 1.0× 115 1.0× 43 0.4× 164 1.7× 26 986
Chi‐Ping Day United States 16 479 0.9× 400 1.6× 251 2.1× 50 0.5× 134 1.4× 37 943
Thomas R. Geiger United States 10 627 1.2× 422 1.6× 129 1.1× 40 0.4× 88 0.9× 14 1.0k
F R Miller United States 11 371 0.7× 451 1.8× 152 1.3× 98 1.0× 58 0.6× 12 797
Melissa C Adriance United States 7 472 0.9× 380 1.5× 150 1.3× 27 0.3× 91 1.0× 7 805
Florian Wegwitz Germany 21 812 1.6× 287 1.1× 118 1.0× 35 0.4× 75 0.8× 44 1.0k
Yahya Tamimi Oman 15 465 0.9× 206 0.8× 29 0.2× 56 0.6× 70 0.7× 36 821
Jan P. Gerlach Netherlands 10 864 1.7× 150 0.6× 82 0.7× 31 0.3× 132 1.4× 12 1.1k

Countries citing papers authored by Leda Raptis

Since Specialization
Citations

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

Fields of papers citing papers by Leda Raptis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leda Raptis

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

All Works

20 of 20 papers shown
1.
Daniel, Juliet M., et al.. (2022). Roads to Stat3 Paved with Cadherins. Cells. 11(16). 2537–2537. 4 indexed citations
2.
Geletu, Mulu, et al.. (2020). Differentiation of Mouse Breast Epithelial HC11 and EpH4 Cells. Journal of Visualized Experiments. 4 indexed citations
3.
Arulanandam, Rozanne, Mulu Geletu, Graham P. Côté, et al.. (2017). Regulation of HC11 mouse breast epithelial cell differentiation by the E-cadherin/Rac axis. Experimental Cell Research. 361(1). 112–125. 3 indexed citations
4.
Mukhopadhyay, Utpal K., Leda Raptis, Andrew W. Craig, et al.. (2016). STAT5A is regulated by DNA damage via the tumor suppressor p53. Cytokine. 82. 70–79. 8 indexed citations
5.
Geletu, Mulu, et al.. (2014). A Functional Assay for Gap Junctional Examination; Electroporation of Adherent Cells on Indium-Tin Oxide. Journal of Visualized Experiments. e51710–e51710. 3 indexed citations
6.
Assi, Hikmat, Robert Doherty, Emanuele Petruzzella, et al.. (2014). Preclinical Characterization of Signal Transducer and Activator of Transcription 3 Small Molecule Inhibitors for Primary and Metastatic Brain Cancer Therapy. Journal of Pharmacology and Experimental Therapeutics. 349(3). 458–469. 26 indexed citations
7.
Valiyeva, Fatma, Fei Jiang, Madeleine Moussa, et al.. (2011). Characterization of the Oncogenic Activity of the Novel TRIM59 Gene in Mouse Cancer Models. Molecular Cancer Therapeutics. 10(7). 1229–1240. 40 indexed citations
8.
Papadakis, Andreas I., Efrosyni Paraskeva, Philippos Peidis, et al.. (2010). eIF2α Kinase PKR Modulates the Hypoxic Response by Stat3-Dependent Transcriptional Suppression of HIF-1α. Cancer Research. 70(20). 7820–7829. 43 indexed citations
9.
Arulanandam, Rozanne, Adina Vultur, Jun Cao, et al.. (2009). Cadherin-Cadherin Engagement Promotes Cell Survival via Rac1/Cdc42 and Signal Transducer and Activator of Transcription-3. Molecular Cancer Research. 7(8). 1310–1327. 43 indexed citations
10.
Geletu, Mulu, Rozanne Arulanandam, Adina Vultur, et al.. (2009). Stat3 Activity Is Required for Gap Junctional Permeability in Normal Rat Liver Epithelial Cells. DNA and Cell Biology. 28(7). 319–327. 15 indexed citations
11.
Arulanandam, Rozanne, Mulu Geletu, Hélène Feracci, & Leda Raptis. (2009). Activated Rac1 requires gp130 for Stat3 activation, cell proliferation and migration. Experimental Cell Research. 316(5). 875–886. 29 indexed citations
12.
Raptis, Leda, et al.. (2008). Electrode Assemblies Used for Electroporation of Cultured Cells. Methods in molecular biology. 423. 61–76. 9 indexed citations
13.
Vultur, Adina, Jun Cao, Rozanne Arulanandam, et al.. (2004). Cell-to-cell adhesion modulates Stat3 activity in normal and breast carcinoma cells. Oncogene. 23(15). 2600–2616. 89 indexed citations
14.
Vultur, Adina, Katherine A. Peebles, Alvin M. Malkinson, et al.. (2003). Gap Junctional Intercellular Communication in Cells Isolated from Urethane-Induced Tumors in A/J Mice. DNA and Cell Biology. 22(1). 33–40. 7 indexed citations
15.
Raptis, Leda, et al.. (2003). Electroporation of Adherent Cells In Situ for the Introduction of Nonpermeant Molecules. Humana Press eBooks. 48. 93–114. 5 indexed citations
16.
Vultur, Adina, et al.. (2003). In Situ Electroporation of Radioactive Compounds Into Adherent Cells. DNA and Cell Biology. 22(5). 339–346. 5 indexed citations
17.
Liu, Qing Yan, et al.. (2000). Effects of neoplastic transformation and teniposide (VM26) on protein kinase C isoform expression in rodent fibroblasts. Cancer Letters. 153(1-2). 13–23. 3 indexed citations
18.
Kawauchi, K, et al.. (1997). A Novel Technique for the Study of Ras Activity: Electroporation of [α- 32 P]GTP. DNA and Cell Biology. 16(1). 103–110. 13 indexed citations
19.
Narsimhan, Radha P., et al.. (1996). Ras Is Involved in Gap Junction Closure in Proliferating Fibroblasts or Preadipocytes but Not in Differentiated Adipocytes. DNA and Cell Biology. 15(6). 443–451. 22 indexed citations
20.
Raptis, Leda, et al.. (1995). applications of electroporation of adherent cellsIn Situ, on a partly conductive slide. Molecular Biotechnology. 4(2). 129–138. 8 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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