Xiao Gao

3.3k citations
49 papers · 2.3k indexed · h-index 23
    • MicroRNA in disease regulation 19
    • Cancer-related molecular mechanisms research 10
  • Immunology top 5%
    • Immune cells in cancer 4
    • Circular RNAs in diseases 15
    • Extracellular vesicles in disease 12
    • Advanced biosensing and bioanalysis techniques 4
    • RNA modifications and cancer 4
  • Genetics top 5%
  • Neurology top 10%
    • Autophagy in Disease and Therapy 5

Xiao Gao

49 papers receiving 2.3k citations

Peers

Xiao Gao
Comparison fields: 5 of 108
  • Cancer Research 1.1k
  • Immunology 551
  • Molecular Biology 1.6k
  • Genetics 221
  • Neurology 120
Replace Jinquan Cai with:
Jinquan Cai China
Kosuke Akiyama Japan
Chuanlu Jiang China
Mario Leonardo Squadrito Switzerland
Kyu‐Sil Choi South Korea
Paulina Kucharzewska Poland
Inna Dumler Germany
Liangyu Lin China
Sajani S. Lakka United States
Nika Cyrus United States
Xiao Gao relative to Jinquan Cai China Jinquan Cai's profile →
Citations per field
00.5×1.5×
Jinquan Cai · 1×
Citations per year

Countries citing papers authored by Xiao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202411
2 20249
3 20242
4 20219
5 202074
6 2019174
7 2019265
8 201916
9 201845
10 201836
11 201817
12 20175
13 201722
14 20177
15 201629
16 201622
17 201463
18 201263
19 20118
20 2011107

About Xiao Gao

Xiao Gao is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Circular RNAs in diseases (15 papers), Extracellular vesicles in disease (12 papers), Cancer-related molecular mechanisms research (10 papers), Autophagy in Disease and Therapy (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA modifications and cancer (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (551 citations) and Molecular Biology (1.6k citations). Xiao Gao has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Hao Xue, Xiaofan Guo, Gang Li, Mingyu Qian, Shaobo Wang, Zongpu Zhang, Qinglin Liu, Jianye Xu, Wei Qiu and Zihang Chen. Their work appears in journals such as Oncotarget, Gene, Cell Death and Disease, Scientific Reports and International Journal of Oncology.

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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