Meng Ling Moi

2.4k total citations
89 papers, 1.6k citations indexed

About

Meng Ling Moi is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, Meng Ling Moi has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Infectious Diseases, 74 papers in Public Health, Environmental and Occupational Health and 7 papers in Sociology and Political Science. Recurrent topics in Meng Ling Moi's work include Mosquito-borne diseases and control (74 papers), Viral Infections and Vectors (63 papers) and Malaria Research and Control (33 papers). Meng Ling Moi is often cited by papers focused on Mosquito-borne diseases and control (74 papers), Viral Infections and Vectors (63 papers) and Malaria Research and Control (33 papers). Meng Ling Moi collaborates with scholars based in Japan, Vietnam and Philippines. Meng Ling Moi's co-authors include Tomohiko Takasaki, Ichiro Kurane, Akira Kotaki, Chang‐Kweng Lim, Nozomi Takeshita, Kouichi Morita, Masayuki Saijo, Shuzo Kanagawa, Yasuyuki Kato and Norio Ohmagari and has published in prestigious journals such as Journal of Virology, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Meng Ling Moi

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Ling Moi Japan 23 1.3k 1.2k 171 171 140 89 1.6k
Gilberto A. Santiago United States 18 1.4k 1.0× 1.2k 0.9× 115 0.7× 214 1.3× 110 0.8× 40 1.7k
Yolanda Téllez United States 17 2.1k 1.6× 1.7k 1.4× 167 1.0× 150 0.9× 124 0.9× 18 2.2k
Saira Saborío United States 16 1.3k 1.0× 1.2k 1.0× 121 0.7× 271 1.6× 130 0.9× 26 1.7k
Tyler M. Sharp United States 27 1.6k 1.2× 1.5k 1.2× 116 0.7× 302 1.8× 220 1.6× 77 2.1k
Chonticha Klungthong Thailand 25 1.8k 1.3× 1.5k 1.2× 193 1.1× 316 1.8× 231 1.6× 85 2.2k
In-Kyu Yoon Thailand 25 1.9k 1.4× 1.5k 1.2× 201 1.2× 203 1.2× 361 2.6× 38 2.2k
Kriengsak Limkittikul Thailand 21 1.7k 1.2× 1.2k 1.0× 109 0.6× 219 1.3× 127 0.9× 66 2.0k
Juan Carlos Mercado United States 15 2.0k 1.5× 1.8k 1.4× 157 0.9× 177 1.0× 209 1.5× 22 2.3k
Mayling Álvarez Cuba 28 2.2k 1.6× 1.8k 1.5× 119 0.7× 186 1.1× 69 0.5× 65 2.4k
Jyh-Hsiung Huang Taiwan 25 1.6k 1.2× 1.4k 1.1× 137 0.8× 212 1.2× 53 0.4× 32 2.0k

Countries citing papers authored by Meng Ling Moi

Since Specialization
Citations

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

Fields of papers citing papers by Meng Ling Moi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Ling Moi. 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 Meng Ling Moi. The network helps show where Meng Ling Moi may publish in the future.

Co-authorship network of co-authors of Meng Ling Moi

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Ling Moi. A scholar is included among the top collaborators of Meng Ling Moi 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 Meng Ling Moi. Meng Ling Moi 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
2.
Moi, Meng Ling, Rui Yamaguchi, Shin‐ichi Sawada, et al.. (2024). Low-frequency CD8+ T cells induced by SIGN-R1+ macrophage-targeted vaccine confer SARS-CoV-2 clearance in mice. npj Vaccines. 9(1). 173–173. 1 indexed citations
3.
Angius, Fabrizio, et al.. (2024). SARS-CoV-2 Evolution: Implications for Diagnosis, Treatment, Vaccine Effectiveness and Development. Vaccines. 13(1). 17–17. 4 indexed citations
4.
Nakamura, Yukio, Meng Ling Moi, Takashi Shiina, Tadasu Shin‐I, & Ryuji Suzuki. (2023). Idiotope-Driven T-Cell/B-Cell Collaboration-Based T-Cell Epitope Prediction Using B-Cell Receptor Repertoire Sequences in Infectious Diseases. Viruses. 15(5). 1186–1186. 4 indexed citations
5.
Suzuki, Ryosuke, Mami Matsuda, Mya Myat Ngwe Tun, et al.. (2023). Role of pre-existing immunity in driving the dengue virus serotype 2 genotype shift in the Philippines: A retrospective analysis of serological data. International Journal of Infectious Diseases. 139. 59–68. 7 indexed citations
7.
Kobayashi, Daisuke, Astri Nur Faizah, Meng Ling Moi, et al.. (2023). Comparative analysis of the susceptibility of Aedes aegypti and Japanese Aedes albopictus to all dengue virus serotypes. Tropical Medicine and Health. 51(1). 61–61. 5 indexed citations
10.
Morita, Kouichi, et al.. (2021). Stability and Infectivity of SARS-CoV-2 and Viral RNA in Water, Commercial Beverages, and Bodily Fluids. Frontiers in Microbiology. 12. 667956–667956. 17 indexed citations
11.
12.
Moi, Meng Ling, Vu Thi Bich Hau, Chris Fook Sheng Ng, et al.. (2020). Prevalence of Zika virus neutralizing antibodies in healthy adults in Vietnam during and after the Zika virus epidemic season: a longitudinal population-based survey. BMC Infectious Diseases. 20(1). 332–332. 16 indexed citations
14.
Moi, Meng Ling, Vu Thi Bich Hau, Mya Myat Ngwe Tun, et al.. (2018). Dengue virus infection-enhancement activity in neutralizing antibodies of healthy adults before dengue season as determined by using FcγR-expressing cells. BMC Infectious Diseases. 18(1). 31–31. 10 indexed citations
15.
Tun, Mya Myat Ngwe, Meng Ling Moi, Takeshi Nabeshima, et al.. (2017). Clinical, virological and epidemiological characterization of dengue outbreak in Myanmar, 2015. Epidemiology and Infection. 145(9). 1886–1897. 29 indexed citations
16.
Moi, Meng Ling, Daisuke Kobayashi, Haruhiko Isawa, et al.. (2016). Dengue Virus Isolation in Mosquito Aedes albopictus Captured During an Outbreak in Tokyo, 2014, by a Method Relying on Antibody-Dependent Enhancement Mechanism Using FcγR-Expressing BHK Cells. Vector-Borne and Zoonotic Diseases. 16(12). 810–812. 4 indexed citations
17.
Moi, Meng Ling, Yasushi Ami, Chang‐Kweng Lim, et al.. (2014). Formation of Infectious Dengue Virus–Antibody Immune Complex In Vivo in Marmosets (Callithrix jacchus) After Passive Transfer of Anti-Dengue Virus Monoclonal Antibodies and Infection with Dengue Virus. American Journal of Tropical Medicine and Hygiene. 92(2). 370–376. 6 indexed citations
18.
Tajima, Shigeru, Akira Kotaki, Meng Ling Moi, et al.. (2014). Identification and amplification of Japanese encephalitis virus and Getah virus propagated from a single porcine serum sample: a case of coinfection. Archives of Virology. 159(11). 2969–2975. 10 indexed citations
19.
Moi, Meng Ling, Tomohiko Takasaki, Masayuki Saijo, & Ichiro Kurane. (2013). Determination of antibody concentration as the main parameter in a dengue virus antibody-dependent enhancement assay using FcγR-expressing BHK cells. Archives of Virology. 159(1). 103–116. 10 indexed citations
20.
Ujiie, Mugen, Meng Ling Moi, Nozomi Takeshita, et al.. (2012). Dengue Virus Type‐3 Infection in a Traveler Returning From Benin to Japan. Journal of Travel Medicine. 19(4). 255–257. 9 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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