Yuko Araki

836 citations
27 papers · 605 indexed · h-index 11
Topics
Neonatal and fetal brain pathology (4 papers)Neonatal Respiratory Health Research (4 papers)Statistical Methods and Inference (4 papers)
Partner nations
JapanTaiwanUnited States

In The Last Decade

Yuko Araki

27 papers receiving 590 citations

Peers

Yuko Araki
Comparison fields: 5 of 111
  • Clinical Psychology 237
  • Psychiatry and Mental health 117
  • Education 112
  • Cognitive Neuroscience 94
  • Pediatrics, Perinatology and Child Health 68
Replace Hans-Christian Waldmann with:
Hans-Christian Waldmann Germany
Mary Haslum United Kingdom
Craig Uchiyama United States
Brandon J. Coombes United States
Erin Johnson United States
Shu‐I Wu Taiwan
Jin‐Ping Zhao Canada
Josephine Asafu‐Adjei United States
Jerilyn Higa United States
Yuko Araki relative to Hans-Christian Waldmann Germany Hans-Christian Waldmann's profile →
Citations per field
00.5×3.6×
Hans-Christian Waldmann · 1×
Citations per year

Countries citing papers authored by Yuko Araki

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Araki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Araki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Araki. A scholar is included among the top collaborators of Yuko Araki 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 Yuko Araki. Yuko Araki 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 2
2 2
3 1
4 28
5 7
6 4
7 3
8 15
9 7
10 4
11 28
12 10
13 21
14 4
15 41
16 15
17 9
18 56
19 20
20 269

About Yuko Araki

Yuko Araki is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 27 papers that have together received 605 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Neonatal Respiratory Health Research (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Clinical Psychology (237 citations), Psychiatry and Mental health (117 citations) and Microbiology (31 citations). Yuko Araki has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Tatsuyuki Kakuma, Toyojiro Matsuishi, Yushiro Yamashita, Takashi Ohya, Munetsugu Hara, Kentaro Matsuda, Akira Tsuda, Miki Nagano, Yoshiyuki Tanaka and Mizue Iwasaki. Their work appears in journals such as Scientific Reports, World Journal of Gastroenterology and JAMA Network Open.

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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