A. Masuda

26 papers receiving 792 citations

Peers

A. Masuda
Comparison fields: 5 of 90
  • Parasitology 289
  • Insect Science 162
  • Infectious Diseases 150
  • Immunology 144
  • Ecology, Evolution, Behavior and Systematics 112
Replace Peter Küenzi with:
Peter Küenzi Switzerland
George A. Conder United States
Lee R. Haines United Kingdom
Luiz Gustavo Gardinassi Brazil
Aleš Macela Czechia
Takane Kikuchi United States
Victoria Gillan United Kingdom
Rosa María Bermúdez‐Cruz Mexico
Lara J. Kohler United States
A. Masuda relative to Peter Küenzi Switzerland Peter Küenzi's profile →
Citations per field
00.5×3.3×
Peter Küenzi · 1×
Citations per year

Countries citing papers authored by A. Masuda

Since Specialization
Citations

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

Fields of papers citing papers by A. Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Masuda Line = papers co-authored together A. Masuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984114
2 198990
3 199864
4 198561
5 200259
6 200658
7 200255
8 200350
9
Molecular analysis of the FHIT gene at 3p14.2 in lung cancer cell lines.
199646
10 200945
11 200630
12 199727
13 200223
14 199723
15 199520
16 199115
17 200814
18 199713
19 199213
20 19819

About A. Masuda

A. Masuda is a scholar working on Molecular Biology, Insect Science, Parasitology, Immunology and Epidemiology, having authored 26 papers that have together received 843 indexed citations. Recurring topics across this work include Insect and Pesticide Research (9 papers), Vector-borne infectious diseases (8 papers), Insect and Arachnid Ecology and Behavior (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Insect symbiosis and bacterial influences (2 papers), Fungal Infections and Studies (2 papers), Heat shock proteins research (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Parasitology (289 citations), Insect Science (162 citations), Infectious Diseases (150 citations), Immunology (144 citations) and Ecology, Evolution, Behavior and Systematics (112 citations). A. Masuda has collaborated with scholars based in Brazil, Japan and United States. Frequent co-authors include Itabajara da Silva Vaz, Daniela Reis Joaquim de Freitas, Carlos Logullo, Maria Aparecida Shikanai‐Yasuda, Maria José Soares Mendes‐Giannini, Carlos Alexandre Sanchez Ferreira, Jesús G. Valenzuela, Ruth S. Nussenzweig, Fidel Zavala and Renato Moreira Rosa. Their work appears in journals such as Parasitology, Insect Biochemistry and Molecular Biology, Veterinary Parasitology, Chemical and Pharmaceutical Bulletin and Infection and Immunity.

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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