Wan-Xi Yang

1.4k citations
39 papers · 992 · 1 hit paper · h-index 17

Impact in

Papers in

Wan-Xi Yang

38 papers receiving 979 citations

Wan-Xi Yang's Hit Papers

Multiple signaling pathways in Sertoli cells: recent findings in spermatogenesis 2019 · 184 citations
1840+2+4Years since publication50100150

Peers

Wan-Xi Yang
Comparison fields: 5 of 94
  • Reproductive Medicine 309
  • Cell Biology 204
  • Physiology 52
  • Cancer Research 112
  • Molecular Biology 509
Replace Yongliang Shang with:
Yongliang Shang China
Fu-Qing Tan China
Yanzhou Yang China
Alexandre Boyer Canada
Xiuxia Wang China
Misung Jo United States
Christopher Ford United Kingdom
Shakib Omari United States
Albert Ricken Germany
Josep M. Fernández‐Novell Spain
Wan-Xi Yang relative to Yongliang Shang China Yongliang Shang's profile →
Citations per field
00.5×2.9×
Yongliang Shang · 1×
Citations per year

Countries citing papers authored by Wan-Xi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Xi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multiple signaling pathways in Sertoli cells: recent findings in spermatogenesis
Hit paper breakdown →
2019184
2 201787
3 201881
4 201878
5 201976
6 201845
7 202237
8 202036
9 201835
10 202231
11 201928
12 202228
13 202027
14 201723
15 202022
16 201721
17 201718
18 201916
19 201816
20 202213

About Wan-Xi Yang

Wan-Xi Yang is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cell Biology and Genetics, having authored 39 papers that have together received 992 indexed citations. Recurring topics across this work include Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (12 papers), Microtubule and mitosis dynamics (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Reproductive biology and impacts on aquatic species (6 papers), Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (4 papers) and Crustacean biology and ecology (4 papers). The work is most often cited by research in Reproductive Medicine (309 citations), Cell Biology (204 citations), Physiology (52 citations), Cancer Research (112 citations) and Molecular Biology (509 citations). Wan-Xi Yang has collaborated with scholars based in China, Slovenia and Bangladesh. Frequent co-authors include Shuang-Li Hao, Fei-Da Ni, Zhen‐Yu She, Yaru Xu, Fu-Qing Tan, Zhenfang Li, Jiaming Wang, Sheng Li, Yi Sun and Dandan Ma. Their work appears in journals such as Gene, International Journal of Molecular Sciences, Oncotarget, International Journal of Biological Macromolecules and Cell Death and Disease.

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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