Hua Nian

719 citations
34 papers · 547 · h-index 12

Impact in

Papers in

    • Natural product bioactivities and synthesis 5
    • Bone Metabolism and Diseases 4
    • Bioactive Natural Diterpenoids Research 3
    • Bacterial biofilms and quorum sensing 2
    • Medicinal Plant Pharmacodynamics Research 4

Hua Nian

32 papers receiving 532 citations

Peers

Hua Nian
Comparison fields: 5 of 103
  • Pharmacology 146
  • Orthopedics and Sports Medicine 60
  • Complementary and alternative medicine 56
  • Molecular Biology 269
  • Biochemistry 23
Replace Mingkwan Na Takuathung with:
Mingkwan Na Takuathung Thailand
Dinesh Kumar Yadav India
Shujun Wei China
Jian Hua Japan
Tarek M. Ali Egypt
Kwok Nam Leung Hong Kong
Sung Ok Kim South Korea
Vandana Singhal United States
Shengnan Li China
Chen Xie China
Hua Nian relative to Mingkwan Na Takuathung Thailand Mingkwan Na Takuathung's profile →
Citations per field
00.5×4.1×
Mingkwan Na Takuathung · 1×
Citations per year

Countries citing papers authored by Hua Nian

Since Specialization
Citations

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

Fields of papers citing papers by Hua Nian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 201063
3 201842
4 201739
5 201435
6 201624
7 201122
8 201622
9 201521
10 201512
11 202412
12 202211
13 20209
14 20067
15 20236
16 20134
17 20224
18 20204
19 20154
20
Complex Communication Channel Blind Equalization Method Based on RLS-BP Algorithm
20093

About Hua Nian

Hua Nian is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Infectious Diseases and Pharmacology, having authored 34 papers that have together received 547 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (5 papers), Medicinal Plant Pharmacodynamics Research (4 papers), Bone Metabolism and Diseases (4 papers), Wound Healing and Treatments (3 papers), Traditional Chinese Medicine Analysis (3 papers), Bioactive Natural Diterpenoids Research (3 papers), Bone health and osteoporosis research (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Pharmacology (146 citations), Orthopedics and Sports Medicine (60 citations), Complementary and alternative medicine (56 citations), Molecular Biology (269 citations) and Biochemistry (23 citations). Hua Nian has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Minghua Ma, Leqin Xu, Anwen Liu, Jing Cai, Shuhui Zhang, Luping Qin, Shixin Chang, Guanwu Li, Ting Han and Hailiang Xin. Their work appears in journals such as Phytomedicine, Pharmaceutical Biology, Chemical Communications, Phytotherapy Research and Rapid Communications in Mass Spectrometry.

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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