Jiang‐Nan Wu

1.7k citations
68 papers · 1.0k · h-index 18

Impact in

Papers in

Jiang‐Nan Wu

66 papers receiving 1.0k citations

Peers

Jiang‐Nan Wu
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 213
  • Reproductive Medicine 92
  • Pediatrics, Perinatology and Child Health 134
  • Immunology 139
  • Cancer Research 98
Replace Qian Chen with:
Qian Chen China
Qiang Zeng China
Fang‐Ping Chen Taiwan
Yan Zhao China
Jìng Guo China
Qiong Luo China
Eleni Fthenou Greece
Shareen Forbes United Kingdom
Tomasz Opala Poland
Line Mathiesen Denmark
Jiang‐Nan Wu relative to Qian Chen China Qian Chen's profile →
Citations per field
00.5×2.6×
Qian Chen · 1×
Citations per year

Countries citing papers authored by Jiang‐Nan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang‐Nan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008138
2 202181
3 202076
4 201965
5 202150
6 201935
7 202235
8 201734
9 202033
10 202130
11 201828
12 202127
13
[Validity and reliability of Pediatric Quality of Life Inventory Version 4.0 Generic Core Scales in Chinese children and adolescents].
200826
14
Food group intake among adolescents in Guangzhou city compared with the Chinese dietary guidelines.
201225
15 201824
16 202122
17 201821
18 202218
19 201817
20 202216

About Jiang‐Nan Wu

Jiang‐Nan Wu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology, Immunology and Reproductive Medicine, having authored 68 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (15 papers), Reproductive System and Pregnancy (9 papers), Endometriosis Research and Treatment (8 papers), Gestational Diabetes Research and Management (7 papers), Hepatitis B Virus Studies (6 papers), Intensive Care Unit Cognitive Disorders (5 papers), Vaccine Coverage and Hesitancy (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Obstetrics and Gynecology (213 citations), Reproductive Medicine (92 citations), Pediatrics, Perinatology and Child Health (134 citations), Immunology (139 citations) and Cancer Research (98 citations). Jiang‐Nan Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ming‐Qing Li, Weiqing Chen, Yu‐Ming Chen, Cuiling Wang, Xiaotian Li, Feng Xie, Chun Zhou, Suzanne C. Ho, Wenhua Ling and Qiongjie Zhou. Their work appears in journals such as BMC Pregnancy and Childbirth, Journal of Reproductive Immunology, Reproduction, Journal of Animal Science and Biotechnology and BMJ 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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