Junkuan Wang

1.6k citations
24 papers · 1.1k · h-index 15

Impact in

Papers in

Junkuan Wang

24 papers receiving 1.1k citations

Peers

Junkuan Wang
Comparison fields: 5 of 113
  • Biochemistry 142
  • Obstetrics and Gynecology 166
  • Nutrition and Dietetics 198
  • Complementary and alternative medicine 74
  • Public Health, Environmental and Occupational Health 218
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Shima Tavallaie Iran
Erdinç Devrím Türkiye
Malika Bouchenak Algeria
Elaheh Amirani Iran
Kleber Eduardo de Campos Brazil
Seyed Mohammad Mousavi Iran
Irene Durante-Montiel Mexico
Małgorzata Szczuko Poland
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Citations per field
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Citations per year

Countries citing papers authored by Junkuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junkuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2014153
3 2011153
4 2013112
5 201067
6 201461
7 200647
8 201443
9 201237
10 201434
11 201132
12
Mineral compositions in breast milk of healthy Chinese lactating women in urban areas and its associated factors.
201432
13 201025
14 201525
15 201721
16 201713
17 20189
18 19925
19 20145
20 20144

About Junkuan Wang

Junkuan Wang is a scholar working on Epidemiology, Molecular Biology, Surgery, Genetics and Neurology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (5 papers), Glioma Diagnosis and Treatment (5 papers), Birth, Development, and Health (3 papers), Infant Nutrition and Health (3 papers), Breastfeeding Practices and Influences (3 papers), Gestational Diabetes Research and Management (3 papers), Bariatric Surgery and Outcomes (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Biochemistry (142 citations), Obstetrics and Gynecology (166 citations), Nutrition and Dietetics (198 citations), Complementary and alternative medicine (74 citations) and Public Health, Environmental and Occupational Health (218 citations). Junkuan Wang has collaborated with scholars based in China, Switzerland and Hong Kong. Frequent co-authors include Youyou Zhao, Olivier Ballèvre, Weiguo Zhang, Hongliang Luo, Li‐Qiang Qin, Yibing Ning, Peiyu Wang, Defu Ma, Peter Bucheli and Fabrizio Arigoni. Their work appears in journals such as World Neurosurgery, British Journal Of Nutrition, Child s Nervous System, Neurochemical Research and Journal of the American Chemical Society.

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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