De Xing

537 citations
32 papers · 357 · h-index 11

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • Aquaculture Nutrition and Growth

Papers in

    • Animal Genetics and Reproduction 13
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 9
    • CRISPR and Genetic Engineering 12
    • RNA Interference and Gene Delivery 2

De Xing

31 papers receiving 352 citations

Peers

De Xing
Comparison fields: 5 of 51
  • Physiology 71
  • Aquatic Science 75
  • Genetics 170
  • Business and International Management 10
  • Immunology 84
Replace Shangjia Li with:
Shangjia Li United States
Dayan A. Perera United States
Khoi Vo United States
Chong Han China
Kiran D. Rasal India
Jinlin Chen China
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Haifu Wan China
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Citations per year

Countries citing papers authored by De Xing

Since Specialization
Citations

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

Fields of papers citing papers by De Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202041
2 201736
3 202232
4
[Relation between single nucleotide polymorphism in estrogen-metabolizing genes COMT, CYP17 and breast cancer risk among Chinese women].
200319
5 202019
6 202217
7 202217
8
[Association of genetic polymorphisms in the DNA repair gene XPD with risk of lung and esophageal cancer in a Chinese population in Beijing].
200317
9 202017
10 202315
11 202212
12
[Poly(AT) polymorphism in DNA repair gene XPC and lung cancer risk].
200310
13 202310
14 20239
15 20229
16 20208
17 20248
18 20228
19
SEQUENCE VARIATIONS IN DNA REPAIR GENE XPD AND RISK OF LUNG CANCER IN A CHINESE POPULATION
20038
20 20237

About De Xing

De Xing is a scholar working on Genetics, Molecular Biology, Physiology, Immunology and Aquatic Science, having authored 32 papers that have together received 357 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (13 papers), CRISPR and Genetic Engineering (12 papers), Reproductive biology and impacts on aquatic species (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers), Aquaculture Nutrition and Growth (5 papers), Aquaculture disease management and microbiota (5 papers), Sperm and Testicular Function (4 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Physiology (71 citations), Aquatic Science (75 citations), Genetics (170 citations), Business and International Management (10 citations) and Immunology (84 citations). De Xing has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Rex A. Dunham, Shangjia Li, Andrew Johnson, Baofeng Su, Wenwen Wang, Hong Yu, Qi Li, Lingfeng Kong, Jinhai Wang and Ian A.E. Butts. Their work appears in journals such as Aquaculture, Marine Biotechnology, Science Advances, Nature Communications and Genetics.

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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