Shiting Hua

408 citations
7 papers · 269 · h-index 6

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Extracellular vesicles in disease 2
    • Angiogenesis and VEGF in Cancer 1
    • Inflammasome and immune disorders 1
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Barrier Structure and Function Studies 1
    • Neurological Disease Mechanisms and Treatments 1

Shiting Hua

7 papers receiving 268 citations

Peers

Shiting Hua
Comparison fields: 5 of 61
  • Neurology 60
  • Biological Psychiatry 16
  • Cancer Research 73
  • Molecular Biology 167
  • Genetics 20
Replace Ding Nie with:
Ding Nie China
Wanfeng Wu China
Qijin Zhai China
Yandi Yang China
Joanna Kurzepa Poland
Junfeng Xu China
Boya Liao China
Ayan Mohamud Yusuf Germany
Tong Du China
Suzanne A. B. M. Aarts Netherlands
Shiting Hua relative to Ding Nie China Ding Nie's profile →
Citations per field
00.5×1.5×2.2×
Ding Nie · 1×
Citations per year

Countries citing papers authored by Shiting Hua

Since Specialization
Citations

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

Fields of papers citing papers by Shiting Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2021141
2 202259
3 202222
4 202320
5 202116
6 20237
7 20224

About Shiting Hua

Shiting Hua is a scholar working on Molecular Biology, Neurology, Epidemiology, Periodontics and Cancer Research, having authored 7 papers that have together received 269 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Barrier Structure and Function Studies (1 paper), Angiogenesis and VEGF in Cancer (1 paper), MicroRNA in disease regulation (1 paper), Oral microbiology and periodontitis research (1 paper), Inflammasome and immune disorders (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (60 citations), Biological Psychiatry (16 citations), Cancer Research (73 citations), Molecular Biology (167 citations) and Genetics (20 citations). Shiting Hua has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Xiaodan Jiang, Zhiming Feng, Jianbang Han, Yu Xie, Zhongfei Zhang, Qian Ouyang, Yuxi Zou, Yingqian Cai, Yanping Tang and Feng Li. Their work appears in journals such as Experimental Neurology, Journal of Immunology Research, Frontiers in Genetics, Cell Communication and Signaling and Journal of Ethnopharmacology.

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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