Marni E. Cueno

748 total citations
44 papers, 582 citations indexed

About

Marni E. Cueno is a scholar working on Molecular Biology, Periodontics and Epidemiology. According to data from OpenAlex, Marni E. Cueno has authored 44 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Periodontics and 11 papers in Epidemiology. Recurrent topics in Marni E. Cueno's work include Oral microbiology and periodontitis research (13 papers), Influenza Virus Research Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Marni E. Cueno is often cited by papers focused on Oral microbiology and periodontitis research (13 papers), Influenza Virus Research Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Marni E. Cueno collaborates with scholars based in Japan, Philippines and United States. Marni E. Cueno's co-authors include Kenichi Imai, Kuniyasu Ochiai, Muneaki Tamura, Noriaki Kamio, Yurina Hibi, Kaori Asamitsu, Hiroko Inoue, Ichiro Saito, Takashi Okamoto and Nan Gao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Marni E. Cueno

42 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marni E. Cueno Japan 14 218 193 96 90 78 44 582
Akiyuki Yamamoto Japan 14 203 0.9× 176 0.9× 81 0.8× 19 0.2× 120 1.5× 38 734
Yusuke Takahashi Japan 13 246 1.1× 442 2.3× 118 1.2× 22 0.2× 208 2.7× 24 772
Songhe Guo China 14 535 2.5× 53 0.3× 77 0.8× 110 1.2× 46 0.6× 17 740
Joan A. Whitlock United States 12 168 0.8× 387 2.0× 79 0.8× 25 0.3× 215 2.8× 24 555
Walter Miguel Turato Brazil 16 184 0.8× 27 0.1× 169 1.8× 89 1.0× 33 0.4× 34 663
Peter H. Bick United States 17 116 0.5× 204 1.1× 50 0.5× 39 0.4× 72 0.9× 34 761
C. Hermann Germany 5 297 1.4× 49 0.3× 58 0.6× 52 0.6× 15 0.2× 5 575
D. F. Gordon United States 8 190 0.9× 109 0.6× 45 0.5× 36 0.4× 33 0.4× 8 579
Néstor Rubio‐Infante Mexico 14 263 1.2× 25 0.1× 36 0.4× 51 0.6× 18 0.2× 21 523
Tomomi Hashizume Japan 12 83 0.4× 186 1.0× 60 0.6× 29 0.3× 72 0.9× 29 394

Countries citing papers authored by Marni E. Cueno

Since Specialization
Citations

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

Fields of papers citing papers by Marni E. Cueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marni E. Cueno. 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 Marni E. Cueno. The network helps show where Marni E. Cueno may publish in the future.

Co-authorship network of co-authors of Marni E. Cueno

This figure shows the co-authorship network connecting the top 25 collaborators of Marni E. Cueno. A scholar is included among the top collaborators of Marni E. Cueno 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 Marni E. Cueno. Marni E. Cueno 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.
Cueno, Marni E., et al.. (2025). Network modeling of the different SARS-CoV-2 spike protein infection points within the human hematopoietic network. Journal of Theoretical Biology. 609. 112139–112139.
2.
Cueno, Marni E., Noriaki Kamio, & Kenichi Imai. (2024). Avian influenza A H5N1 hemagglutinin protein models have distinct structural patterns re-occurring across the 1959–2023 strains. Biosystems. 246. 105347–105347.
3.
Cueno, Marni E., Noriaki Kamio, Ikuko Takeshita, et al.. (2023). Fusobacterium nucleatum putatively affects the alveoli by disrupting the alveolar epithelial cell tight junction, enlarging the alveolar space, and increasing paracellular permeability. Biochemical and Biophysical Research Communications. 682. 216–222. 2 indexed citations
5.
Cueno, Marni E., et al.. (2021). Porphyromonas gingivalis Mfa1 fimbria putatively binds to TLR2 and induces both IL-6 and IL-8 production in human bronchial epithelial cells. Biochemical and Biophysical Research Communications. 589. 35–40. 12 indexed citations
6.
Cueno, Marni E., et al.. (2019). Structural significance of residues 158–160 in the H3N2 hemagglutnin globular head: A computational study with implications in viral evolution and infection. Journal of Molecular Graphics and Modelling. 89. 33–40. 4 indexed citations
7.
Cueno, Marni E. & Kuniyasu Ochiai. (2018). Gingival Periodontal Disease (PD) Level-Butyric Acid Affects the Systemic Blood and Brain Organ: Insights Into the Systemic Inflammation of Periodontal Disease. Frontiers in Immunology. 9. 1158–1158. 25 indexed citations
8.
Cueno, Marni E. & Kenichi Imai. (2017). Various cellular stress components change as the rat ages: An insight into the putative overall age-related cellular stress network. Experimental Gerontology. 102. 36–42. 4 indexed citations
9.
Cueno, Marni E., et al.. (2017). Structural comparison among the 2013–2017 avian influenza A H5N6 hemagglutinin proteins: A computational study with epidemiological implications. Journal of Molecular Graphics and Modelling. 79. 185–191. 1 indexed citations
11.
Cueno, Marni E. & Kuniyasu Ochiai. (2015). Re-discovering periodontal butyric acid: New insights on an old metabolite. Microbial Pathogenesis. 94. 48–53. 23 indexed citations
12.
Cueno, Marni E., Muneaki Tamura, & Kuniyasu Ochiai. (2015). Middle-aged rats orally supplemented with gel-encapsulated catechin favorably increases blood cytosolic NADPH levels. Phytomedicine. 22(4). 425–430. 6 indexed citations
13.
Cueno, Marni E., Noriaki Kamio, Keisuke Seki, Tomoko Kurita‐Ochiai, & Kuniyasu Ochiai. (2015). High butyric acid amounts induce oxidative stress, alter calcium homeostasis, and cause neurite retraction in nerve growth factor-treated PC12 cells. Cell Stress and Chaperones. 20(4). 709–713. 17 indexed citations
14.
Kamio, Noriaki, Kenichi Imai, Kazufumi Shimizu, et al.. (2014). Neuraminidase-producing oral mitis group streptococci potentially contribute to influenza viral infection and reduction in antiviral efficacy of zanamivir. Cellular and Molecular Life Sciences. 72(2). 357–366. 28 indexed citations
16.
Cueno, Marni E., Kenichi Imai, Kazufumi Shimizu, & Kuniyasu Ochiai. (2013). Homology modeling study toward identifying structural properties in the HA2 B-loop that would influence the HA1 receptor-binding site. Journal of Molecular Graphics and Modelling. 44. 161–167. 5 indexed citations
17.
Cueno, Marni E., Kenichi Imai, Kuniyasu Ochiai, & Takashi Okamoto. (2012). Cytokinin dehydrogenase differentially regulates cytokinin and indirectly affects hydrogen peroxide accumulation in tomato leaf. Journal of Plant Physiology. 169(8). 834–838. 10 indexed citations
18.
Cueno, Marni E., Yurina Hibi, Yasuhiro Yasutomi, et al.. (2010). Preferential expression and immunogenicity of HIV-1 Tat fusion protein expressed in tomato plant. Transgenic Research. 19(5). 889–895. 13 indexed citations
19.
Cueno, Marni E., Yurina Hibi, Kenichi Imai, Antonio C. Laurena, & Takashi Okamoto. (2010). Impaired plant growth and development caused by human immunodeficiency virus type 1 Tat. Transgenic Research. 19(5). 903–913. 5 indexed citations
20.
Imai, Kenichi, Kaori Asamitsu, Ann Florence B. Victoriano, et al.. (2009). Cyclin T1 stabilizes expression levels of HIV‐1 Tat in cells. FEBS Journal. 276(23). 7124–7133. 15 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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