Qingxia Meng

979 citations
38 papers · 551 · h-index 10

Impact in

Papers in

Qingxia Meng

34 papers receiving 537 citations

Peers

Qingxia Meng
Comparison fields: 5 of 67
  • Reproductive Medicine 162
  • Public Health, Environmental and Occupational Health 162
  • Obstetrics and Gynecology 28
  • Pediatrics, Perinatology and Child Health 68
  • Molecular Biology 223
Replace Ana Cheong with:
Ana Cheong United States
Mitsuyoshi Amita Japan
J. Kleinstein Germany
Fei-Da Ni China
Tera R. Kent United States
Marcin Chruściel Poland
Shiying Jin United States
Mary M. Lee United States
Rong‐Huan He China
Yasmine Neirijnck Switzerland
Qingxia Meng relative to Ana Cheong United States Ana Cheong's profile →
Citations per field
00.5×1.5×1.9×
Ana Cheong · 1×
Citations per year

Countries citing papers authored by Qingxia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qingxia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006197
2 201960
3 202045
4 201638
5 200824
6 202222
7 202216
8 201516
9 202214
10 202310
11 20239
12 20239
13 20229
14 20229
15 20198
16
Early acetabular cartilage degeneration in a rabbit model of developmental dysplasia of the hip.
20158
17 20217
18 20207
19 20236
20 20235

About Qingxia Meng

Qingxia Meng is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 551 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Ovarian function and disorders (6 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Sperm and Testicular Function (3 papers), Renal and related cancers (3 papers), Reproductive System and Pregnancy (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Reproductive Medicine (162 citations), Public Health, Environmental and Occupational Health (162 citations), Obstetrics and Gynecology (28 citations), Pediatrics, Perinatology and Child Health (68 citations) and Molecular Biology (223 citations). Qingxia Meng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include He‐Feng Huang, Rong‐Huan He, Yu Zhang, Hong Li, Chunfeng Qian, Boxian Huang, Hong Li, Qinyan Zou, Chenyue Ding and Jiafeng Lu. Their work appears in journals such as Reproductive Sciences, Frontiers in Endocrinology, Human Genetics, Stem Cell Research & Therapy and Acta Biochimica et Biophysica Sinica.

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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