Eri Saikawa

59 papers receiving 1.9k citations

Peers

Eri Saikawa
Comparison fields: 5 of 121
  • Health, Toxicology and Mutagenesis 1.0k
  • Atmospheric Science 956
  • Global and Planetary Change 675
  • Environmental Engineering 367
  • Pollution 264
Replace Hao Guo with:
Hao Guo China
Cheng Li China
Miaomiao Cheng China
Massimo Vieno United Kingdom
Mike Holland United Kingdom
Stephanie Waldhoff United States
Huang Zheng China
Sérgio Machado Corrêa Brazil
Lena Höglund-Isaksson Austria
Laura Dawidowski Argentina
Eri Saikawa relative to Hao Guo China Hao Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eri Saikawa

Since Specialization
Citations

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

Fields of papers citing papers by Eri Saikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eri Saikawa, 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 Eri Saikawa Line = papers co-authored together Eri Saikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019204
2 2016130
3 2019118
4 2018114
5 2017112
6 200996
7 201793
8 201391
9 201476
10 201175
11 202061
12 201651
13 201947
14 201745
15 201342
16 202039
17 201339
18 202036
19 202036
20 201833

About Eri Saikawa

Eri Saikawa is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Pollution, Global and Planetary Change and Automotive Engineering, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (27 papers), Air Quality and Health Impacts (27 papers), Atmospheric and Environmental Gas Dynamics (10 papers), Vehicle emissions and performance (8 papers), Energy and Environment Impacts (7 papers), Energy, Environment, Economic Growth (6 papers), Energy, Environment, and Transportation Policies (6 papers) and Climate Change Policy and Economics (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Atmospheric Science (956 citations), Global and Planetary Change (675 citations), Environmental Engineering (367 citations) and Pollution (264 citations). Eri Saikawa has collaborated with scholars based in United States, China and Nepal. Frequent co-authors include Geoff Martin, Larry W. Horowitz, Min Zhong, R. J. Yokelson, Vaishali Naïk, Elizabeth A. Stone, Alexander Avramov, Denise L. Mauzerall, Shichang Kang and Arnico K. Panday. Their work appears in journals such as Atmospheric chemistry and physics, Atmospheric Environment, Global Biogeochemical Cycles, Environment International and GeoHealth.

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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