Mario Canki

745 total citations
18 papers, 607 citations indexed

About

Mario Canki is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Mario Canki has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Virology, 6 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Mario Canki's work include HIV Research and Treatment (14 papers), Cytomegalovirus and herpesvirus research (5 papers) and HIV/AIDS drug development and treatment (4 papers). Mario Canki is often cited by papers focused on HIV Research and Treatment (14 papers), Cytomegalovirus and herpesvirus research (5 papers) and HIV/AIDS drug development and treatment (4 papers). Mario Canki collaborates with scholars based in United States, China and Slovenia. Mario Canki's co-authors include David J. Volsky, Wei Chao, Elena E. Paskaleva, Mary Jane Potash, Anuja Ghorpade, Xudong Lin, Galina Bentsman, Harris A. Gelbard, Alexander Shekhtman and Karen Duus and has published in prestigious journals such as Nucleic Acids Research, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Mario Canki

18 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Canki United States 13 308 204 139 116 105 18 607
Ashish Verma India 10 122 0.4× 92 0.5× 54 0.4× 54 0.5× 56 0.5× 18 309
Sonia Mediouni United States 16 383 1.2× 267 1.3× 95 0.7× 205 1.8× 48 0.5× 25 635
Clémentine Wallet France 11 224 0.7× 473 2.3× 82 0.6× 137 1.2× 88 0.8× 18 808
J. Russ Carmical United States 16 120 0.4× 341 1.7× 88 0.6× 100 0.9× 87 0.8× 21 758
Heather T. Hartle United States 6 281 0.9× 163 0.8× 130 0.9× 102 0.9× 36 0.3× 7 593
Fadoua Daouad France 8 288 0.9× 169 0.8× 103 0.7× 153 1.3× 102 1.0× 10 527
Nopporn Chutiwitoonchai Japan 13 94 0.3× 135 0.7× 280 2.0× 83 0.7× 52 0.5× 25 518
Beata Orzechowska Poland 13 110 0.4× 226 1.1× 122 0.9× 47 0.4× 37 0.4× 35 580
Joseph Jablonski United States 15 266 0.9× 298 1.5× 68 0.5× 175 1.5× 29 0.3× 17 544
Jeanne Van Assche France 6 212 0.7× 127 0.6× 74 0.5× 122 1.1× 88 0.8× 6 405

Countries citing papers authored by Mario Canki

Since Specialization
Citations

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

Fields of papers citing papers by Mario Canki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Canki

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

All Works

18 of 18 papers shown
1.
McIntyre, W. I. M., Gaston Bonenfant, Clare Miller, et al.. (2018). Positive-sense RNA viruses reveal the complexity and dynamics of the cellular and viral epitranscriptomes during infection. Nucleic Acids Research. 46(11). 5776–5791. 103 indexed citations
2.
Paskaleva, Elena E., Yanze Liu, Huijun Guo, et al.. (2014). Evaluation of Potential Genotoxicity of HIV Entry Inhibitors Derived from Natural Sources. PLoS ONE. 9(3). e93108–e93108. 3 indexed citations
3.
Guo, Huijun, Yanze Liu, Elena E. Paskaleva, et al.. (2014). Use of Sargassum fusiforme Extract and its Bioactive Molecules to inhibit HIV Infection: Bridging Two Paradigms between Eastern and Western Medicine. Chinese Herbal Medicines. 6(4). 265–273. 4 indexed citations
4.
Lin, Xudong, Elena E. Paskaleva, William Chang, Alexander Shekhtman, & Mario Canki. (2011). Inhibition of HIV-1 Infection in Ex Vivo Cervical Tissue Model of Human Vagina by Palmitic Acid; Implications for a Microbicide Development. PLoS ONE. 6(9). e24803–e24803. 14 indexed citations
5.
Paskaleva, Elena E., Jing Xue, David Y.W. Lee, Alexander Shekhtman, & Mario Canki. (2010). Palmitic Acid Analogs Exhibit Nanomolar Binding Affinity for the HIV-1 CD4 Receptor and Nanomolar Inhibition of gp120-to-CD4 Fusion. PLoS ONE. 5(8). e12168–e12168. 15 indexed citations
6.
Lee, David Y.W., Xudong Lin, Elena E. Paskaleva, et al.. (2009). Palmitic Acid Is a Novel CD4 Fusion Inhibitor That Blocks HIV Entry and Infection. AIDS Research and Human Retroviruses. 25(12). 1231–1241. 42 indexed citations
7.
8.
Paskaleva, Elena E., Xudong Lin, Karen Duus, et al.. (2008). Sargassum fusiformefraction is a potent and specific inhibitor of HIV-1 fusion and reverse transcriptase. Virology Journal. 5(1). 8–8. 24 indexed citations
9.
Paskaleva, Elena E., Xudong Lin, Wen Li, et al.. (2006). Inhibition of highly productive HIV-1 infection in T cells, primary human macrophages, microglia, and astrocytes by Sargassum fusiforme. AIDS Research and Therapy. 3(1). 15–15. 30 indexed citations
10.
Trillo‐Pazos, Gusta, Seon‐Young Kim, Mario Canki, et al.. (2004). Effects of human immunodeficiency virus type 1 on astrocyte gene expression and function: Potential role in neuropathogenesis. Journal of NeuroVirology. 10(1). 25–32. 102 indexed citations
11.
Wang, Ting‐Fang, Gusta Trillo‐Pazos, Seon‐Young Kim, et al.. (2004). Effects of human immunodeficiency virus type 1 on astrocyte gene expression and function: Potential role in neuropathogenesis. Journal of NeuroVirology. 10(s1). 25–32. 5 indexed citations
12.
Wang, Ting‐Fang, Gusta Trillo‐Pazos, Seon‐Young Kim, et al.. (2004). Effects of human immunodeficiency virus type 1 on astrocyte gene expression and function: Potential role in neuropathogenesis. Journal of NeuroVirology. 10(0). 25–32. 4 indexed citations
13.
14.
Canki, Mario, Janet R. Sparrow, Wei Chao, Mary Jane Potash, & David J. Volsky. (2000). Human Immunodeficiency Virus Type 1 Can Infect Human Retinal Pigment Epithelial Cells in Culture and Alter the Ability of the Cells to Phagocytose Rod Outer Segment Membranes. AIDS Research and Human Retroviruses. 16(5). 453–463. 17 indexed citations
15.
Bentsman, Galina, et al.. (1999). Replication of different clones of human immunodeficiency virus type 1 in primary fetal human astroyctes: enhancement of viral gene expression by Nef. Journal of NeuroVirology. 5(2). 115–124. 45 indexed citations
16.
Canki, Mario, Galina Bentsman, Wei Chao, et al.. (1997). Isolation and long-term culture of primary ocular human immunodeficiency virus type 1 isolates in primary astrocytes. Journal of NeuroVirology. 3(1). 10–15. 24 indexed citations
17.
Gould-Fogerite, Susan, Yvette Edghill‐Smith, Masoumeh Tavassoti Kheiri, et al.. (1994). Lipid matrix-based subunit vaccines: a structure-function approach to oral and parenteral immunization.. PubMed. 10 Suppl 2. S99–103. 16 indexed citations
18.
Francus, T, et al.. (1989). Two peaks of interleukin 1 expression in human leukocytes cultured with tobacco glycoprotein.. The Journal of Experimental Medicine. 170(1). 327–332. 12 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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