Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effects of combined aerobic and resistance training on glycemic control, blood pressure, inflammation, cardiorespiratory fitness and quality of life in patients with type 2 diabetes and overweight/obesity: a systematic review and meta-analysis
This map shows the geographic impact of Y. Wada'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 Y. Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Wada more than expected).
This network shows the impact of papers produced by Y. Wada. 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 Y. Wada. The network helps show where Y. Wada may publish in the future.
Co-authorship network of co-authors of Y. Wada
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Wada.
A scholar is included among the top collaborators of Y. Wada 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 Y. Wada. Y. Wada is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Oda, Tsutomu & Y. Wada. (1980). Exsheathment and migration of microfilariae of Brugia malayi (Che-ju strain) in mosquitoes.. 22(1). 27–33.4 indexed citations
11.
Wada, Y., et al.. (1980). Inheritance of white-body and brown-eye in Aedes albopictus.. Mosquito news. 40(1). 79–83.2 indexed citations
12.
Mogi, Motoyoshi, Akira Mori, & Y. Wada. (1980). Survival rates of immature stages of Culex tritaeniorhynchus (Díptera, Culicidae) in rice fields under summer cultivation.. 22(2). 111–126.6 indexed citations
13.
Mori, Akio & Y. Wada. (1977). The gonotrophic cycle of Aedes albopictus in the field.. 19. 141–146.20 indexed citations
14.
Wada, Y.. (1975). Theoretical considerations on the epidemic of Japanese encephalitis.. 16(4). 171–199.4 indexed citations
15.
Wada, Y.. (1975). Ecology of Japanese encephalitis virus in Japan. II. The population of vector mosquitoes and the epidemic of Japanese encephalitis.. 17(3). 111–127.18 indexed citations
16.
Wada, Y., et al.. (1967). Preliminary note on the swarming of Culex tritaeniorhynchus.. 9(1).4 indexed citations
17.
Wada, Y.. (1966). Epidemiology of Bancroftian Filariasis in Nagate and Abumize Villages, Nagasaki Prefecture, especially in relation to Vector Mosquitoes. 3. Ecology and Natural Infections of Mosquitoes.. 8(1). 45–53.5 indexed citations
18.
Hayashi, Kaoru, et al.. (1966). Ecological studies on Japanese encephalitis virus. Isolation of Japanese encephalitis virus from mosquitoes collected in Nagasaki and Kagoshima districts, Japan, in 1965.. 8(2). 61–73.5 indexed citations
19.
Wada, Y.. (1963). Epidemiology of bancroftian filariasis in Nagate and Abumize villages, Nagasaki Prefecture, especially in relation to vector mosquitoes. 2. Endemicity of filariasis. 5(3). 136–151.1 indexed citations
20.
Wada, Y.. (1962). Studies on the population estimation for insects of medical importance. I. A method of estimating the population size of mosquito larvae in a fertilizer pit.. 4(1).1 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.