Bei Bei

123 papers receiving 3.6k citations

Peers

Bei Bei
Comparison fields: 5 of 131
  • Experimental and Cognitive Psychology 1.8k
  • Neuropsychology and Physiological Psychology 166
  • Endocrine and Autonomic Systems 329
  • Cognitive Neuroscience 588
  • Clinical Psychology 497
Replace Takashi Ohida with:
Takashi Ohida Japan
Christina S. McCrae United States
Joseph M. Dzierzewski United States
Christopher C. Colenda United States
Heather E. Gunn United States
Michel Préville Canada
Gretchen A. Brenes United States
James Lindesay United Kingdom
Sherry A. Beaudreau United States
Samantha Dockray Ireland
Bei Bei relative to Takashi Ohida Japan Takashi Ohida's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bei Bei

Since Specialization
Citations

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

Fields of papers citing papers by Bei Bei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015330
2 2018208
3 2010186
4 2012171
5 2013135
6 2016111
7 2012103
8 2019103
9 2019101
10 201694
11 201792
12 201891
13 201490
14 201375
15 201373
16 201871
17 201667
18 202066
19 201462
20 201856

About Bei Bei

Bei Bei is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sleep and related disorders (79 papers), Maternal Mental Health During Pregnancy and Postpartum (20 papers), Sleep and Wakefulness Research (19 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Infant Development and Preterm Care (8 papers), Cancer survivorship and care (6 papers), Early Childhood Education and Development (5 papers) and Sleep and Work-Related Fatigue (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.8k citations), Neuropsychology and Physiological Psychology (166 citations), Endocrine and Autonomic Systems (329 citations), Cognitive Neuroscience (588 citations) and Clinical Psychology (497 citations). Bei Bei has collaborated with scholars based in Australia, United States and China. Frequent co-authors include John Trinder, Joshua F. Wiley, Rachel Manber, Nicholas B. Allen, Christina Bryant, Fiona Judd, Angela Komiti, Henry J. Jackson, Jeannette Milgrom and Fiona C. Baker. Their work appears in journals such as SLEEP, Sleep Medicine, Journal of Sleep Research, Journal of Clinical Sleep Medicine and Journal of Affective Disorders.

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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