Reika Masuda

62 total papers · 507 total citations
26 papers, 217 citations indexed

About

Reika Masuda is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Reika Masuda has authored 26 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Neurology. Recurrent topics in Reika Masuda's work include Metabolomics and Mass Spectrometry Studies (8 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). Reika Masuda is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). Reika Masuda collaborates with scholars based in Australia, Colombia and United Kingdom. Reika Masuda's co-authors include Julien Wist, Jeremy K. Nicholson, Elaine Holmes, Sze-How Bong, Samantha Lodge, Philipp Nitschke, Hiroyuki Imamura, Ruey Leng Loo, Manfred Spraul and Torben Kimhofer and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Reika Masuda

22 papers receiving 212 citations

Author Peers

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

Author Last Decade Papers Cites
Reika Masuda 96 53 49 32 31 26 217
Hongtao Li 90 0.9× 44 0.8× 47 1.0× 6 0.2× 42 1.4× 31 323
Xiang Li 85 0.9× 20 0.4× 49 1.0× 5 0.2× 17 0.5× 28 323
Alicia Evans 45 0.5× 48 0.9× 36 0.7× 46 1.4× 20 0.6× 20 316
Wei Zhang 69 0.7× 98 1.8× 72 1.5× 7 0.2× 20 0.6× 18 285
Qianqian Feng 91 0.9× 46 0.9× 26 0.5× 5 0.2× 96 3.1× 23 311
Hee‐Young Kim 47 0.5× 22 0.4× 53 1.1× 14 0.4× 95 3.1× 31 319
Zeleke Geto 117 1.2× 18 0.3× 42 0.9× 10 0.3× 39 1.3× 25 299
Isaac Asante 73 0.8× 60 1.1× 17 0.3× 7 0.2× 20 0.6× 26 259
Basma Mourad 36 0.4× 33 0.6× 39 0.8× 66 2.1× 10 0.3× 22 290
Lee B 87 0.9× 22 0.4× 39 0.8× 8 0.3× 18 0.6× 32 297

Countries citing papers authored by Reika Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Reika Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reika Masuda

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026