Eita Goto

625 citations
31 papers · 426 indexed · h-index 9
Topics
Birth, Development, and Health (19 papers)Gestational Diabetes Research and Management (17 papers)Pregnancy and preeclampsia studies (15 papers)
Partner nations
JapanAustriaAustralia

In The Last Decade

Eita Goto

31 papers receiving 397 citations

Peers

Eita Goto
Comparison fields: 5 of 75
  • Plant Science 160
  • Pediatrics, Perinatology and Child Health 158
  • Obstetrics and Gynecology 157
  • Atmospheric Science 56
  • Nutrition and Dietetics 55
Replace Marco Vuerich with:
Marco Vuerich Italy
Huma Qamar Canada
Catherine Klein United States
Marilyne Stuart Canada
Elhadji Anassour Laouan Sidi Canada
Tianqing Meng China
Ritu Rana India
Laurence Guldner France
Xinyao Pan China
Carmen Vélez Vega United States
Eita Goto relative to Marco Vuerich Italy Marco Vuerich's profile →
Citations per field
00.5×4.7×
Marco Vuerich · 1×
Citations per year

Countries citing papers authored by Eita Goto

Since Specialization
Citations

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

Fields of papers citing papers by Eita Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eita Goto

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 1
4 5
5 3
6 7
7 5
8 6
9 1
10 13
11 7
12 8
13 12
14 3
15 39
16 2
17 11
18 8
19 33
20
Responses of plant metabolism to air pollution and global change
154

About Eita Goto

Eita Goto is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 31 papers that have together received 426 indexed citations. Recurring topics across this work include Birth, Development, and Health (19 papers), Gestational Diabetes Research and Management (17 papers) and Pregnancy and preeclampsia studies (15 papers). The work is most often cited by research in Obstetrics and Gynecology (157 citations), Pediatrics, Perinatology and Child Health (158 citations) and Plant Science (160 citations). Eita Goto has collaborated with scholars based in Japan, Austria and Australia. Frequent co-authors include D. Grill, I. Stulen, Isamu Nouchi, Kenji Omasa, K. Oki, de Luitjen Kok, Kan Usuda, Tomotaro Dote, Koichi Kono and Hiroyasu Shimizu. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Journal of Epidemiology & Community Health.

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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