Zining Meng

2.2k citations
95 papers · 1.6k · h-index 21

Impact in

  • Physiology top 0.5%
    • Reproductive biology and impacts on aquatic species
    • Aquaculture Nutrition and Growth

Papers in

    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 19
    • Genetic diversity and population structure 16
    • Aquaculture Nutrition and Growth 29

Zining Meng

92 papers receiving 1.5k citations

Peers

Zining Meng
Comparison fields: 5 of 84
  • Physiology 351
  • Aquatic Science 492
  • Reproductive Medicine 352
  • Genetics 769
  • Endocrine and Autonomic Systems 163
Replace Danqi Lu with:
Danqi Lu China
Nilli Zmora United States
Diego Crespo Spain
Changxu Tian China
Cédric Cabau France
Kristian R. von Schalburg Canada
Alicia Felip Spain
Hajime Kitano Japan
Zining Meng relative to Danqi Lu China Danqi Lu's profile →
Citations per field
00.5×1.5×2.3×
Danqi Lu · 1×
Citations per year

Countries citing papers authored by Zining Meng

Since Specialization
Citations

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

Fields of papers citing papers by Zining Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010135
2 201093
3 201289
4 201571
5 201265
6 202257
7 202053
8 202047
9 201345
10 201939
11 201838
12 200937
13 202137
14 201137
15 201335
16 201132
17 201627
18 202125
19 201324
20 201523

About Zining Meng

Zining Meng is a scholar working on Genetics, Aquatic Science, Physiology, Molecular Biology and Reproductive Medicine, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (29 papers), Reproductive biology and impacts on aquatic species (28 papers), Aquaculture disease management and microbiota (23 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (19 papers), Sperm and Testicular Function (19 papers), Genetic diversity and population structure (16 papers), Genomics and Phylogenetic Studies (14 papers) and Identification and Quantification in Food (14 papers). The work is most often cited by research in Physiology (351 citations), Aquatic Science (492 citations), Reproductive Medicine (352 citations), Genetics (769 citations) and Endocrine and Autonomic Systems (163 citations). Zining Meng has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Haoran Lin, Xiaochun Liu, Shuisheng Li, Danqi Lu, Le Wang, Lina Wu, Haoran Lin, Huapu Chen, Junhong Xia and Bin Fan. Their work appears in journals such as Aquaculture, International Journal of Molecular Sciences, Marine Biotechnology, General and Comparative Endocrinology and Journal of the World Aquaculture 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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