Xiaokui Yang

2.2k citations
47 papers · 1.7k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Ovarian function and disorders
    • Ovarian cancer diagnosis and treatment

Papers in

Xiaokui Yang

45 papers receiving 1.7k citations

Peers

Xiaokui Yang
Comparison fields: 5 of 93
  • Cancer Research 462
  • Reproductive Medicine 230
  • Molecular Biology 873
  • Immunology 225
  • Obstetrics and Gynecology 72
Replace Ewa Nowak‐Markwitz with:
Ewa Nowak‐Markwitz Poland
Andrée Yeramian Spain
Zhenhai Yu China
Oliver Treeck Germany
Youji Feng China
Michihiro Tanikawa Japan
Vincent W.S. Liu Hong Kong
Chune Ren China
Sabine Heublein Germany
Xiaokui Yang relative to Ewa Nowak‐Markwitz Poland Ewa Nowak‐Markwitz's profile →
Citations per field
00.5×1.5×1.9×
Ewa Nowak‐Markwitz · 1×
Citations per year

Countries citing papers authored by Xiaokui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006219
2 2012165
3 2013149
4 2015113
5 2015106
6 200884
7 200483
8 200872
9 201270
10 200957
11 202252
12 201939
13 201838
14 200538
15 200538
16 201637
17 201636
18 201734
19 200734
20 201426

About Xiaokui Yang

Xiaokui Yang is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (7 papers), Endometriosis Research and Treatment (4 papers), Cell death mechanisms and regulation (4 papers), MicroRNA in disease regulation (4 papers), Gestational Diabetes Research and Management (3 papers), Kruppel-like factors research (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Cancer Research (462 citations), Reproductive Medicine (230 citations), Molecular Biology (873 citations), Immunology (225 citations) and Obstetrics and Gynecology (72 citations). Xiaokui Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ying Fang, Benjamin K. Tsang, Michael Fraser, Sha Peng, Ute M. Moll, Ajoy Basak, Hui Xing, Haiyan Lin, Ying Li and Ying Liu. Their work appears in journals such as BMC Pregnancy and Childbirth, Journal of Cancer Research and Clinical Oncology, Journal of Ovarian Research, Molecular and Cellular Endocrinology and Cell Proliferation.

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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