Mia Maamari

37 total papers · 2.3k total citations
5 papers, 70 citations indexed

About

Mia Maamari is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mia Maamari has authored 5 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Mia Maamari's work include Respiratory viral infections research (2 papers), Respiratory Support and Mechanisms (2 papers) and Neonatal Respiratory Health Research (2 papers). Mia Maamari is often cited by papers focused on Respiratory viral infections research (2 papers), Respiratory Support and Mechanisms (2 papers) and Neonatal Respiratory Health Research (2 papers). Mia Maamari collaborates with scholars based in United States and Canada. Mia Maamari's co-authors include Hui Cheng, James R. Woodgett, Thomas Force, John M. Morrison, Anthony A. Sochet, James E. Bost, Yao I. Cheng, Thomas A. Nakagawa, Gustavo Niño and Matthew Sharron and has published in prestigious journals such as Journal of Molecular and Cellular Cardiology, Journal of Intensive Care Medicine and Pediatric Rheumatology.

In The Last Decade

Mia Maamari

5 papers receiving 70 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mia Maamari 36 15 11 11 9 5 70
Viktoria Herbst 35 1.0× 44 2.9× 4 0.4× 21 1.9× 5 0.6× 5 85
Zehra Karadeniz 31 0.9× 12 0.8× 7 0.6× 17 1.5× 14 1.6× 7 93
Sandeep Nikam 43 1.2× 25 1.7× 38 3.5× 15 1.4× 9 1.0× 5 109
Andrea Koekemoer 40 1.1× 20 1.3× 6 0.5× 8 0.7× 25 2.8× 6 73
Jinchu Vijay 29 0.8× 27 1.8× 5 0.5× 14 1.3× 11 1.2× 6 74
Linda Lawson 42 1.2× 18 1.2× 5 0.5× 9 0.8× 14 1.6× 5 277
Brynjar Ö. Jensson 35 1.0× 12 0.8× 4 0.4× 9 0.8× 34 3.8× 5 93
Davide Luppi 28 0.8× 4 0.3× 14 1.3× 7 0.6× 11 1.2× 4 85
Matt Mellema 22 0.6× 7 0.5× 13 1.2× 5 0.5× 10 1.1× 4 57
Catharina Lahrmann 48 1.3× 8 0.5× 3 0.3× 18 1.6× 6 0.7× 5 91

Countries citing papers authored by Mia Maamari

Since Specialization
Citations

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

Fields of papers citing papers by Mia Maamari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Maamari

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

All Works

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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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