Xiaohui Hua

1.0k citations
36 papers · 712 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 9
    • Ubiquitin and proteasome pathways 7
    • Circular RNAs in diseases 7
    • Epigenetics and DNA Methylation 7
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 7

Xiaohui Hua

35 papers receiving 709 citations

Peers

Xiaohui Hua
Comparison fields: 5 of 76
  • Cancer Research 263
  • Molecular Biology 453
  • Geriatrics and Gerontology 16
  • Epidemiology 135
  • Physiology 18
Replace Zhiqin Fu with:
Zhiqin Fu China
Zhongxian Tian China
Dongmei Wang China
Jiaxin Xie China
Juhyung Woo United States
Wenfeng Li China
Zhou‐Li Cheng China
Huei‐Sheng Huang Taiwan
Xiaohui Hua relative to Zhiqin Fu China Zhiqin Fu's profile →
Citations per field
00.5×1.5×2.3×
Zhiqin Fu · 1×
Citations per year

Countries citing papers authored by Xiaohui Hua

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201753
3 202148
4 201947
5 201940
6 201838
7 201835
8 201935
9 202131
10 201928
11 202027
12 201926
13 201923
14 201922
15 201919
16 201819
17 201917
18 201616
19 202315
20 202215

About Xiaohui Hua

Xiaohui Hua is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 36 papers that have together received 712 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), MicroRNA in disease regulation (8 papers), Ubiquitin and proteasome pathways (7 papers), Circular RNAs in diseases (7 papers), Epigenetics and DNA Methylation (7 papers), Autophagy in Disease and Therapy (7 papers), Cancer-related molecular mechanisms research (7 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (263 citations), Molecular Biology (453 citations), Geriatrics and Gerontology (16 citations), Epidemiology (135 citations) and Physiology (18 citations). Xiaohui Hua has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhongxian Tian, Chuanshu Huang, Haishan Huang, Jiheng Xu, Jingxia Li, Honglei Jin, Junlan Zhu, Guosong Jiang, Qipeng Xie and Jingxia Li. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Ecotoxicology and Environmental Safety, Cancer Letters, Oncogene and The FASEB 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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