Yangli Pei

710 citations
25 papers · 513 · h-index 13

Impact in

    • Sperm and Testicular Function
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Renal and related cancers

Papers in

Yangli Pei

25 papers receiving 501 citations

Peers

Yangli Pei
Comparison fields: 5 of 79
  • Reproductive Medicine 46
  • Molecular Biology 371
  • Animal Science and Zoology 48
  • Cancer Research 71
  • Aging 5
Replace Qisheng Zuo with:
Qisheng Zuo China
Yashwanth Radhakrishnan United States
Bichun Li China
M.J. Sulpizio Italy
Yang Yan China
Inju Park South Korea
Yuan Cai China
Mei Jin China
Shiduo Sun China
M. Gambacorta Italy
Yangli Pei relative to Qisheng Zuo China Qisheng Zuo's profile →
Citations per field
00.5×1.5×2.3×
Qisheng Zuo · 1×
Citations per year

Countries citing papers authored by Yangli Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yangli Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yangli Pei, 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 Yangli Pei Line = papers co-authored together Yangli Pei 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 2014118
2 200948
3 201144
4 202136
5 201135
6 202032
7 201531
8 202120
9 201216
10 201516
11 201215
12 201815
13 201913
14 202311
15 20179
16 20228
17 20227
18 20246
19 20236
20 20236

About Yangli Pei

Yangli Pei is a scholar working on Molecular Biology, Animal Science and Zoology, Physiology, Genetics and Insect Science, having authored 25 papers that have together received 513 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (9 papers), Bee Products Chemical Analysis (3 papers), RNA Research and Splicing (3 papers), Adipose Tissue and Metabolism (3 papers), 3D Printing in Biomedical Research (3 papers), Muscle Physiology and Disorders (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Reproductive Medicine (46 citations), Molecular Biology (371 citations), Animal Science and Zoology (48 citations), Cancer Research (71 citations) and Aging (5 citations). Yangli Pei has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Zhang, Suying Cao, Jianyong Han, Yingjie Wu, Yingjie Wu, Yalan Yang, Bing Lim, Ning Li, Shichao Liu and Xiaoan Ruan. Their work appears in journals such as PeerJ, Protein & Cell, Scientific Reports, Frontiers in Veterinary Science and International Journal of Biological Macromolecules.

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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