Wenying Meng

1.5k citations
45 papers · 1.1k · h-index 18

Impact in

Papers in

Wenying Meng

40 papers receiving 1.1k citations

Peers

Wenying Meng
Comparison fields: 5 of 94
  • Cancer Research 393
  • Obstetrics and Gynecology 112
  • Health, Toxicology and Mutagenesis 193
  • Molecular Biology 408
  • Environmental Chemistry 41
Replace Xiaoqiang Qiu with:
Xiaoqiang Qiu China
Binghai Zhao China
Fei Luo China
Fan Liang China
Xiaoxia Bai China
Birgitte Lindeman Norway
Shen Xu China
Anna Pastorková Czechia
Pao‐Ling Torng Taiwan
Wenying Meng relative to Xiaoqiang Qiu China Xiaoqiang Qiu's profile →
Citations per field
00.5×3.3×
Xiaoqiang Qiu · 1×
Citations per year

Countries citing papers authored by Wenying Meng

Since Specialization
Citations

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

Fields of papers citing papers by Wenying Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020148
2 2017134
3 201886
4 201676
5 201572
6 202060
7 201657
8 201946
9 201438
10 202036
11 201929
12 201929
13 201926
14 202321
15 202021
16 201821
17 201820
18 201917
19 201415
20 201814

About Wenying Meng

Wenying Meng is a scholar working on Molecular Biology, Obstetrics and Gynecology, Cancer Research, Health, Toxicology and Mutagenesis and Oncology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (8 papers), Toxic Organic Pollutants Impact (7 papers), Pregnancy and preeclampsia studies (5 papers), Atmospheric chemistry and aerosols (5 papers), Cancer-related molecular mechanisms research (5 papers), Air Quality and Health Impacts (3 papers), Folate and B Vitamins Research (3 papers) and Per- and polyfluoroalkyl substances research (3 papers). The work is most often cited by research in Cancer Research (393 citations), Obstetrics and Gynecology (112 citations), Health, Toxicology and Mutagenesis (193 citations), Molecular Biology (408 citations) and Environmental Chemistry (41 citations). Wenying Meng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiali Ma, Min Shi, Yugang Wang, Qiong Wu, Jue Wei, Qiong Wu, Ying Jie, Shihao Xiang, Guibin Jiang and Yingming Li. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Biochemical and Biophysical Research Communications, Atmospheric Environment, Molecular Oncology and Journal of Cellular Physiology.

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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