Mieko KUWATA

466 citations
13 papers · 361 indexed · h-index 8
Topics
Blood groups and transfusion (5 papers)Atmospheric aerosols and clouds (3 papers)Atmospheric chemistry and aerosols (3 papers)
Partner nations
JapanKenyaSouth Korea

In The Last Decade

Mieko KUWATA

12 papers receiving 343 citations

Peers

Mieko KUWATA
Comparison fields: 5 of 50
  • Atmospheric Science 264
  • Global and Planetary Change 224
  • Health, Toxicology and Mutagenesis 179
  • Physiology 30
  • Genetics 30
Replace J. Auld with:
J. Auld Canada
Shunxiang Huang China
Cynthia E. Shaw United States
A.G. Clark United Kingdom
Yurun Wang China
A. H. Falkovich Israel
Michal Janouch Czechia
Franziska Frank Germany
Kelley T. Patten United States
Eberhard Kohlberg Germany
Mieko KUWATA relative to J. Auld Canada J. Auld's profile →
Citations per field
00.5×4.3×
J. Auld · 1×
Citations per year

Countries citing papers authored by Mieko KUWATA

Since Specialization
Citations

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

Fields of papers citing papers by Mieko KUWATA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mieko KUWATA

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 131
2 53
3 82
4
Evolution of Mixing State and Size Distribution of Black Carbon in the Urban Plumes Observed over the Ocean
0
5 20
6 3
7 11
8
Esterase D polymorphism in Japanese.
21
9 3
10 13
11 6
12
Phosphohexose isomerase polymorphism in macaques.
13
13
Red cell adenosine deaminase types in Japanese.
5

About Mieko KUWATA

Mieko KUWATA is a scholar working on Hematology, Global and Planetary Change and Virology, having authored 13 papers that have together received 361 indexed citations. Recurring topics across this work include Blood groups and transfusion (5 papers), Atmospheric aerosols and clouds (3 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Atmospheric Science (264 citations), Health, Toxicology and Mutagenesis (179 citations) and Global and Planetary Change (224 citations). Mieko KUWATA has collaborated with scholars based in Japan, Kenya and South Korea. Frequent co-authors include Goichi Ishimoto, Hiroshi Tanimoto, Hidekazu Matsueda, Yuzo Miyazaki, Ji‐Hyoung Kim, Y. Komazaki, Y. Kondo, Seong Soo Yum, Rebecca M. Garland and Min Shao. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and PubMed.

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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