Xing‐Xing Dai

476 citations
13 papers · 352 indexed · h-index 9
Topics
Reproductive Biology and Fertility (6 papers)RNA Research and Splicing (6 papers)Epigenetics and DNA Methylation (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Xing‐Xing Dai

11 papers receiving 349 citations

Peers

Xing‐Xing Dai
Comparison fields: 5 of 37
  • Molecular Biology 301
  • Public Health, Environmental and Occupational Health 127
  • Cancer Research 37
  • Genetics 33
  • Reproductive Medicine 31
Replace Long‐Wen Zhao with:
Long‐Wen Zhao China
Enrico Maria Daldello France
Ken‐ichiro Abe Japan
Namdori R. Mtango United States
Suming Yang China
Zheng‐Hui Zhao China
James H. Crichton United Kingdom
Elizabeth P. Jeffries United States
Mehmet E. Karasu United States
Masashi Hada Japan
Xing‐Xing Dai relative to Long‐Wen Zhao China Long‐Wen Zhao's profile →
Citations per field
00.5×2.6×
Long‐Wen Zhao · 1×
Citations per year

Countries citing papers authored by Xing‐Xing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xing‐Xing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing‐Xing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xing‐Xing Dai. A scholar is included among the top collaborators of Xing‐Xing Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xing‐Xing Dai. Xing‐Xing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 3
5 25
6 18
7 20
8 26
9
[Function and molecular mechanism of mitogen-activated protein kinase (MAPK) in regulating oocyte meiotic maturation and ovulation].
15
10 23
11 54
12 104
13 56

About Xing‐Xing Dai

Xing‐Xing Dai is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Nephrology, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (301 citations), Public Health, Environmental and Occupational Health (127 citations) and Aging (7 citations). Xing‐Xing Dai has collaborated with scholars based in China and United States. Frequent co-authors include Heng‐Yu Fan, Qian‐Qian Sha, Yu Jiang, Jun‐Chao Jiang, Xiang‐Hong Ou, Chao Yu, Songying Zhang, Li Shen, Shu‐Yan Ji and Jiali Yu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

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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