Yaping Xin

584 citations
25 papers · 344 · h-index 12

Impact in

    • Sperm and Testicular Function
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic and phenotypic traits in livestock 10
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic diversity and population structure 2
    • Genomics and Chromatin Dynamics 2
    • Molecular Biology Techniques and Applications 2

Yaping Xin

24 papers receiving 334 citations

Peers

Yaping Xin
Comparison fields: 5 of 76
  • Reproductive Medicine 45
  • Genetics 98
  • Cancer Research 51
  • Physiology 13
  • Hematology 25
Replace Paweł Kordowitzki with:
Paweł Kordowitzki Poland
Kou Sueoka Japan
N. Kokolis Greece
Anjali Pawar United States
Shuxiong Chen China
Yohan Choi United States
Valéria Molnár Hungary
Yumie Kobayashi Japan
Itshak Zusman Israel
Tacey White United States
Yaping Xin relative to Paweł Kordowitzki Poland Paweł Kordowitzki's profile →
Citations per field
00.5×10×15×
Paweł Kordowitzki · 1×
Citations per year

Countries citing papers authored by Yaping Xin

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201051
2 201446
3 201432
4 201628
5 201824
6 202021
7 201718
8 201016
9 201616
10 202112
11 202112
12 201011
13 201110
14 20118
15 20097
16 20127
17 20105
18 20134
19 20114
20 20234

About Yaping Xin

Yaping Xin is a scholar working on Genetics, Molecular Biology, Cancer Research, Animal Science and Zoology and Epidemiology, having authored 25 papers that have together received 344 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Cancer-related molecular mechanisms research (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genomics and Chromatin Dynamics (2 papers), Molecular Biology Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Genetic diversity and population structure (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Reproductive Medicine (45 citations), Genetics (98 citations), Cancer Research (51 citations), Physiology (13 citations) and Hematology (25 citations). Yaping Xin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Linsen Zan, Wanqiang Tian, Xiaodong Lyu, Hui Wang, Qingwang Li, Jianhong Hu, Dan Li, Qingju Li, Anning Li and Kui Li. Their work appears in journals such as Molecular Biology Reports, Gene, Scientific Reports, Journal of Applied Animal Research and Frontiers in Psychology.

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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