Junxiang Wei

24 papers receiving 446 citations

Peers

Junxiang Wei
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 51
  • Neurology 41
  • Neurology 22
  • Obstetrics and Gynecology 18
  • Physiology 64
Replace Wenli Lu with:
Wenli Lu China
Zhengbao Zhu China
Pei Chia Eng United Kingdom
Mahbube Ebrahimpur Iran
Nicolas Duport France
Yiyang Yue United States
Surbhi Gupta India
Tingling Xu China
María Isabel Hernández Chile
Junxiang Wei relative to Wenli Lu China Wenli Lu's profile →
Citations per field
00.5×4.5×
Wenli Lu · 1×
Citations per year

Countries citing papers authored by Junxiang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Junxiang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junxiang Wei, 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 Junxiang Wei Line = papers co-authored together Junxiang Wei 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 2019150
2 202043
3 201532
4 202024
5 201823
6 202022
7 202018
8 202217
9 202015
10 202114
11 201514
12 202113
13 202112
14 201910
15 20209
16 20218
17 20196
18 20216
19 20244
20 20214

About Junxiang Wei

Junxiang Wei is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Nutrition and Dietetics, General Health Professions and Epidemiology, having authored 24 papers that have together received 453 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (5 papers), Birth, Development, and Health (3 papers), Gestational Diabetes Research and Management (2 papers), Child Nutrition and Water Access (2 papers), Barrier Structure and Function Studies (2 papers), Global Health Care Issues (2 papers), Alzheimer's disease research and treatments (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (51 citations), Neurology (41 citations), Neurology (22 citations), Obstetrics and Gynecology (18 citations) and Physiology (64 citations). Junxiang Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Youfa Wang, Xin Liu, Hong Xue, Zumin Shi, Wen Huang, Yu Wu, Xiaoli Cao, Dennis Nowak, Erika von Mutius and Jon Genuneit. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Obesity Reviews, International Journal of Environmental Research and Public Health, International Archives of Occupational and Environmental Health and Annals of Allergy Asthma & Immunology.

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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