Xing Hua

558 citations
30 papers · 378 indexed · h-index 13
Topics
MicroRNA in disease regulation (7 papers)Cancer-related molecular mechanisms research (6 papers)RNA modifications and cancer (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsArchives of Biochemistry and Biophysics
Partner nations
ChinaAustraliaJapan

In The Last Decade

Xing Hua

28 papers receiving 372 citations

Peers

Xing Hua
Comparison fields: 5 of 78
  • Molecular Biology 205
  • Cancer Research 166
  • Oncology 71
  • Surgery 34
  • Biomedical Engineering 28
Replace Da Zhong with:
Da Zhong China
Zhu Wang China
Rosangela A.M. Wailemann Brazil
Manuel Neves Portugal
Sang‐Woo Lee South Korea
Helen Chin-Sinex United States
Tao Lv China
Ching-Yun Hsu United States
Xinyuan Hu China
Yunyun Xiao China
Xing Hua relative to Da Zhong China Da Zhong's profile →
Citations per field
00.5×
Da Zhong · 1×
Citations per year

Countries citing papers authored by Xing Hua

Since Specialization
Citations

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

Fields of papers citing papers by Xing Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Hua. A scholar is included among the top collaborators of Xing Hua 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 Hua. Xing Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 0
3 1
4 22
5 7
6
Deficient Regulatory Innate Lymphoid Cells and Differential Expression of miRNAs in Acute Myeloid Leukemia Quantified by Next Generation Sequence
2
7 1
8 16
9 13
10 30
11 51
12 12
13 2
14 15
15 16
16 7
17 18
18 31
19 4
20 2

About Xing Hua

Xing Hua is a scholar working on Cancer Research, Reproductive Medicine and Orthopedics and Sports Medicine, having authored 30 papers that have together received 378 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (166 citations), Orthopedics and Sports Medicine (27 citations) and Molecular Biology (205 citations). Xing Hua has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Yimin Wang, Cong Liu, Lina Yu, Zhaoying Yang, Yingying Wang, Caixia Guo, Xifeng Xiong, Peipei Zhao, Zhihe Liu and Wenjia Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Archives of Biochemistry and Biophysics.

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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