Moana Mika

407 total citations
10 papers, 288 citations indexed

About

Moana Mika is a scholar working on Epidemiology, Emergency Medical Services and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Moana Mika has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Emergency Medical Services and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Moana Mika's work include Respiratory viral infections research (5 papers), Pediatric health and respiratory diseases (5 papers) and Pneumonia and Respiratory Infections (3 papers). Moana Mika is often cited by papers focused on Respiratory viral infections research (5 papers), Pediatric health and respiratory diseases (5 papers) and Pneumonia and Respiratory Infections (3 papers). Moana Mika collaborates with scholars based in Switzerland, Australia and Fiji. Moana Mika's co-authors include Markus Hilty, Philipp Latzin, Insa Korten, Urs Frey, Weihong Qi, Ines Mack, Suzanne Aebi, Carmen Casaulta, Nicolas Regamey and Meri Gorgievski and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Antimicrobial Agents and Chemotherapy and Microbiome.

In The Last Decade

Moana Mika

9 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moana Mika Switzerland 8 126 122 104 91 31 10 288
Douglas Conrad United States 8 168 1.3× 71 0.6× 151 1.5× 32 0.4× 10 0.3× 8 320
Eva Grahn Håkansson Sweden 8 101 0.8× 90 0.7× 95 0.9× 55 0.6× 24 0.8× 12 374
Desirée Henares Spain 11 61 0.5× 139 1.1× 32 0.3× 37 0.4× 12 0.4× 28 255
Kathyayini P. Gopalakrishna United States 6 139 1.1× 115 0.9× 79 0.8× 29 0.3× 14 0.5× 8 378
Nur Masirah M. Zain United Kingdom 8 219 1.7× 91 0.7× 184 1.8× 57 0.6× 46 1.5× 12 424
Maka Mshvildadze United States 6 266 2.1× 68 0.6× 89 0.9× 28 0.3× 30 1.0× 7 490
Emma M. de Koff Netherlands 8 140 1.1× 75 0.6× 55 0.5× 50 0.5× 35 1.1× 11 268
Melissa Zoing New Zealand 9 93 0.7× 92 0.8× 39 0.4× 40 0.4× 61 2.0× 12 365
S. McGrath United Kingdom 6 179 1.4× 61 0.5× 235 2.3× 36 0.4× 7 0.2× 8 345
Iman Sami United States 11 80 0.6× 140 1.1× 149 1.4× 19 0.2× 9 0.3× 22 275

Countries citing papers authored by Moana Mika

Since Specialization
Citations

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

Fields of papers citing papers by Moana Mika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moana Mika

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

All Works

10 of 10 papers shown
1.
Dunne, Eileen M., Moana Mika, Stefanie Eggers, et al.. (2019). The association between pneumococcal vaccination, ethnicity, and the nasopharyngeal microbiota of children in Fiji. Microbiome. 7(1). 106–106. 21 indexed citations
2.
Neumann, Roland P., Markus Hilty, Binbin Xu, et al.. (2018). Nasal microbiota and symptom persistence in acute respiratory tract infections in infants. ERJ Open Research. 4(4). 66–2018. 11 indexed citations
3.
Mika, Moana, Gelu M. Nita, Laura Morf, et al.. (2018). Microbial and host immune factors as drivers of COPD. ERJ Open Research. 4(3). 15–2018. 15 indexed citations
5.
Mika, Moana, Insa Korten, Weihong Qi, et al.. (2016). The nasal microbiota in infants with cystic fibrosis in the first year of life: a prospective cohort study. The Lancet Respiratory Medicine. 4(8). 627–635. 56 indexed citations
6.
Korten, Insa, Moana Mika, Elisabeth Kieninger, et al.. (2016). Interactions of Respiratory Viruses and the Nasal Microbiota during the First Year of Life in Healthy Infants. mSphere. 1(6). 43 indexed citations
7.
Mika, Moana, Ines Mack, Insa Korten, et al.. (2015). Dynamics of the nasal microbiota in infancy: A prospective cohort study. Journal of Allergy and Clinical Immunology. 135(4). 905–912.e11. 86 indexed citations
9.
Mika, Moana, Dalia Denapaite, Regine Hakenbeck, et al.. (2014). A Low-Affinity Penicillin-Binding Protein 2x Variant Is Required for Heteroresistance in Streptococcus pneumoniae. Antimicrobial Agents and Chemotherapy. 58(7). 3934–3941. 24 indexed citations
10.
Bogdał, J, et al.. (1976). Immunoglobulins in chronic alcoholics: relation to liver histology and effect of 2-month abstinence therapy.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24(6). 799–805. 3 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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