Eiko Suda

1.1k total citations · 1 hit paper
17 papers, 654 citations indexed

About

Eiko Suda is a scholar working on Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Eiko Suda has authored 17 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Eiko Suda's work include Health, Environment, Cognitive Aging (5 papers), Birth, Development, and Health (4 papers) and Ethics in Clinical Research (3 papers). Eiko Suda is often cited by papers focused on Health, Environment, Cognitive Aging (5 papers), Birth, Development, and Health (4 papers) and Ethics in Clinical Research (3 papers). Eiko Suda collaborates with scholars based in Japan, Thailand and Nigeria. Eiko Suda's co-authors include Hiroshi Nitta, Takehiro Michikawa, Toshihiro Kawamoto, Shoji F. Nakayama, Kenji Tamura, Junzo Yonemoto, Masaji Ono, Shin Yamazaki, Miyuki Iwai‐Shimada and Yayoi Kobayashi and has published in prestigious journals such as British Journal Of Nutrition, Urology and Health Expectations.

In The Last Decade

Eiko Suda

16 papers receiving 649 citations

Hit Papers

Baseline Profile of Participants in the Japan Environment... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiko Suda Japan 9 231 184 124 122 84 17 654
Dagmar Waiblinger United Kingdom 10 169 0.7× 191 1.0× 77 0.6× 105 0.9× 42 0.5× 14 588
Chantel L. Martin United States 17 219 0.9× 237 1.3× 178 1.4× 117 1.0× 46 0.5× 53 770
Tami R. Bartell United States 15 240 1.0× 229 1.2× 105 0.8× 246 2.0× 64 0.8× 37 858
Rocío Olmedo‐Requena Spain 21 403 1.7× 175 1.0× 231 1.9× 74 0.6× 140 1.7× 63 904
Shio‐Jean Lin Taiwan 18 134 0.6× 248 1.3× 110 0.9× 99 0.8× 220 2.6× 45 888
Shuang Zhou China 12 192 0.8× 136 0.7× 121 1.0× 116 1.0× 82 1.0× 57 662
Rachel L. Maguire United States 18 169 0.7× 293 1.6× 136 1.1× 280 2.3× 140 1.7× 49 943
Tong Gong Sweden 12 150 0.6× 107 0.6× 59 0.5× 168 1.4× 185 2.2× 36 747
Weijin Zhou China 15 205 0.9× 164 0.9× 92 0.7× 46 0.4× 34 0.4× 42 716
Thorkild I. A. Sørensen Denmark 10 289 1.3× 166 0.9× 36 0.3× 77 0.6× 129 1.5× 13 771

Countries citing papers authored by Eiko Suda

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Suda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiko Suda

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

All Works

17 of 17 papers shown
1.
Sekiyama, Makiko, Shin Yamazaki, Takehiro Michikawa, et al.. (2020). Study Design and Participants’ Profile in the Sub-Cohort Study in the Japan Environment and Children’s Study (JECS). Journal of Epidemiology. 32(5). 228–236. 38 indexed citations
2.
Michikawa, Takehiro, Hiroshi Nitta, Makiko Sekiyama, et al.. (2020). Maternal intake of one-carbon metabolism-related B vitamins and anorectal malformations in the Japan Environment and Children’s Study. British Journal Of Nutrition. 124(8). 865–873. 1 indexed citations
3.
Michikawa, Takehiro, Shin Yamazaki, Makiko Sekiyama, et al.. (2019). Maternal dietary intake of vitamin A during pregnancy was inversely associated with congenital diaphragmatic hernia: the Japan Environment and Children’s Study. British Journal Of Nutrition. 122(11). 1295–1302. 15 indexed citations
4.
Michikawa, Takehiro, Shin Yamazaki, Masaji Ono, et al.. (2018). Isoflavone Intake in Early Pregnancy and Hypospadias in the Japan Environment and Children's Study. Urology. 124. 229–236. 13 indexed citations
5.
Michikawa, Takehiro, Shin Yamazaki, Masaji Ono, et al.. (2018). Fish consumption in early pregnancy and congenital gastrointestinal tract atresia in the Japan Environment and Children’s Study. British Journal Of Nutrition. 121(1). 100–108. 4 indexed citations
6.
Iwai‐Shimada, Miyuki, Shoji F. Nakayama, Tomohiko Isobe, et al.. (2018). Questionnaire results on exposure characteristics of pregnant women participating in the Japan Environment and Children Study (JECS). Environmental Health and Preventive Medicine. 23(1). 45–45. 45 indexed citations
7.
Michikawa, Takehiro, Hiroshi Nitta, Shoji F. Nakayama, et al.. (2017). Baseline Profile of Participants in the Japan Environment and Children’s Study (JECS). Journal of Epidemiology. 28(2). 99–104. 350 indexed citations breakdown →
8.
Suda, Eiko, et al.. (2017). “Telling” and assent: Parents’ attitudes towards children's participation in a birth cohort study. Health Expectations. 21(1). 358–366. 3 indexed citations
9.
Michikawa, Takehiro, Hiroshi Nitta, Shoji F. Nakayama, et al.. (2015). The Japan Environment and Children’s Study (JECS): A Preliminary Report on Selected Characteristics of Approximately 10 000 Pregnant Women Recruited During the First Year of the Study. Journal of Epidemiology. 25(6). 452–458. 88 indexed citations
10.
Yamamoto‐Hanada, Kiwako, Masaki Futamura, Hiroshi Kitazawa, et al.. (2015). Relieving pain and distress during venipuncture: Pilot study of the Japan Environment and Children's Study (JECS). Pediatrics International. 57(5). 1044–1047. 9 indexed citations
11.
Suda, Eiko, et al.. (2011). ELICITED EXPERT PERCEPTIONS FOR CLIMATE CHANGE RISKS AND ADAPTATION IN AGRICULTURE AND FOOD PRODUCTION THROUGH MENTAL MODELS APPROACH. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 67(6). II_193–II_202. 1 indexed citations
12.
Aoyagi, Midori, et al.. (2011). Gender Inclusion in Climate Change Adaptation. SSRN Electronic Journal. 6 indexed citations
13.
Suda, Eiko, Darryl Macer, & Ichiro Matsuda. (2009). Challenges to public engagement in science and technology in Japan: experiences in the HapMap Project. PubMed Central. 5(1). 1 indexed citations
14.
Rotimi, Charles N., Mark Leppert, Ichiro Matsuda, et al.. (2007). Community Engagement and Informed Consent in the International HapMap Project. Public Health Genomics. 10(3). 186–198. 55 indexed citations
15.
Suda, Eiko & Darryl Macer. (2007). Policy and Attitudes towards Collection of Personal DNA in genetic databases in Japan. 4(3). 1 indexed citations
16.
Chen, Chia‐Hsin, et al.. (2006). Biosafety system frameworks for living modified organisms in Japan and Taiwan. Plant Biotechnology. 23(5). 539–546. 1 indexed citations
17.
Watanabe, Kazuo, et al.. (2005). Global political, economic, social and technological issues on trasngenic crops. Plant Biotechnology. 22(5). 515–522. 23 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.

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