Xi Zhao

590 citations
21 papers · 390 indexed · 1 hit paper · h-index 9
Topics
MicroRNA in disease regulation (3 papers)Extracellular vesicles in disease (2 papers)Microtubule and mitosis dynamics (2 papers)
Partner nations
China

In The Last Decade

Xi Zhao

20 papers receiving 386 citations

Hit Papers

Metabolic score for insulin resistance (METS-IR) predicts...2024202620252024255075

Peers

Xi Zhao
Comparison fields: 5 of 89
  • Molecular Biology 194
  • Cell Biology 83
  • Epidemiology 71
  • Cancer Research 43
  • Endocrinology, Diabetes and Metabolism 34
Replace Gianna Di Sario with:
Gianna Di Sario Italy
Hao Ye China
Deepti Saini India
Huiying Sun China
Jinsheng Wang China
Jinsong He Japan
Xinjing Luo China
Charlie Huang United States
Alexandre Rosa Campos United States
Anvar Soleimani Iran
Xi Zhao relative to Gianna Di Sario Italy Gianna Di Sario's profile →
Citations per field
00.5×8.5×
Gianna Di Sario · 1×
Citations per year

Countries citing papers authored by Xi Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xi Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Zhao. A scholar is included among the top collaborators of Xi Zhao 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 Xi Zhao. Xi Zhao 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 0
2 1
3
Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018breakdown →
77
4 4
5 11
6 7
7 6
8 21
9 7
10 5
11 5
12 7
13 20
14 26
15 26
16 1
17 11
18
[Effect of penetrative needling of scalp-acupoints on cerebral N-acetyl-aspartate and choline levels in intracerebral hemorrhage rabbits].
1
19 99
20 48

About Xi Zhao

Xi Zhao is a scholar working on Cancer Research, Cell Biology and Epidemiology, having authored 21 papers that have together received 390 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Extracellular vesicles in disease (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (83 citations), Physiology (15 citations) and Cancer Research (43 citations). Xi Zhao has collaborated with scholars based in China. Frequent co-authors include Ke Li, Cheng Zhang, Yang Niu, Zhi Hong, Jia‐Jia Liu, Yanrui Yang, Yu Fu, Shaolin Li, Yi Zhao and Qingyang Zhang. Their work appears in journals such as Applied and Environmental Microbiology, Developmental Biology and Cell Research.

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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