Fan Jiang

378 papers receiving 10.1k citations

Hit Papers

Epidemiology of COVID-19 Among Children in China 2020 · 2.7k citations
2.7k0+2+4Years since publication50010001.5k2.0k2.5k

Peers

Fan Jiang
Comparison fields: 5 of 213
  • Experimental and Cognitive Psychology 1.6k
  • Obstetrics and Gynecology 909
  • Infectious Diseases 1.9k
  • Clinical Psychology 2.0k
  • Modeling and Simulation 321
Replace Koji Wada with:
Koji Wada Japan
Ai Koyanagi Spain
Gerald Gartlehner Austria
Yanping Bao China
Jae Il Shin South Korea
Robert Taylor United States
Yoshiharu Aizawa Japan
Guoqin Wang China
Ruiqin Ma China
Toshihiko Satoh Japan
Fan Jiang relative to Koji Wada Japan Koji Wada's profile →
Citations per field
00.5×
Koji Wada · 1×
Citations per year

Countries citing papers authored by Fan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 416 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of COVID-19 Among Children in China
Hit paper breakdown →
20202675
2
Mitigate the effects of home confinement on children during the COVID-19 outbreak
Hit paper breakdown →
20201480
3 2007191
4 2015185
5 1998155
6 2020131
7 2009121
8 2018120
9 2021111
10 2010109
11 2009107
12 201893
13 201393
14 200788
15 201978
16
[Development and psychometric properties of the Chinese version of Children's Sleep Habits Questionnaire].
200778
17 201777
18 201177
19 202173
20 201973

About Fan Jiang

Fan Jiang is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 416 papers that have together received 10.4k indexed citations. Recurring topics across this work include Sleep and related disorders (56 papers), Sleep and Wakefulness Research (32 papers), Obesity, Physical Activity, Diet (26 papers), Infant Development and Preterm Care (23 papers), Air Quality and Health Impacts (20 papers), Early Childhood Education and Development (16 papers), Birth, Development, and Health (14 papers) and Asthma and respiratory diseases (13 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.6k citations), Obstetrics and Gynecology (909 citations), Infectious Diseases (1.9k citations), Clinical Psychology (2.0k citations) and Modeling and Simulation (321 citations). Fan Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shilu Tong, Yabin Hu, Guanghai Wang, Yuanyuan Dong, Zhongyi Jiang, Xin Qi, Xi Mo, Yunting Zhang, Jun Zhang and Jin Zhao. Their work appears in journals such as Sleep Medicine, The Journal of Pediatrics, Scientific Reports, The Science of The Total Environment and BMC Pediatrics.

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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