Na Feng

2.9k citations
133 papers · 2.2k indexed · h-index 25

Na Feng

124 papers receiving 2.2k citations

Peers

Na Feng
Comparison fields: 5 of 145
  • Behavioral Neuroscience 86
  • Health Informatics 31
  • Geriatrics and Gerontology 85
  • Biological Psychiatry 51
  • Endocrine and Autonomic Systems 91
Replace Michele Ciccarelli with:
Michele Ciccarelli Italy
Pallab Bhattacharya India
Christoph H. Gleiter Germany
Zhe Shen China
Chia‐Wei Liou Taiwan
Weiwei Chen China
Junji Moriya Japan
Eiki Takimoto United States
Gordon Tin Chun Wong Hong Kong
Haibin Dai China
Na Feng relative to Michele Ciccarelli Italy Michele Ciccarelli's profile →
Citations per field
00.5×3.0×
Michele Ciccarelli · 1×
Citations per year

Countries citing papers authored by Na Feng

Since Specialization
Citations

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

Fields of papers citing papers by Na Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20244
4 20241
5 202333
6 20239
7 20234
8 20235
9 20233
10 20237
11 20222
12 20213
13 20208
14
Screening of extracellular polysaccharide high-yielding strains of Ganoderma lingzhi in liquid submerged fermentation and polysaccharide characteristic analysis.
20191
15 201955
16
Comparison on antioxidant activity of spore, fruiting body and mycelium of Ganoderma lucidum.
20182
17
Influences of culture methods on the yield and antineoplastic activity of intracellular triterpene of Ganoderma lucidum mycelia.
20141
18
Optimization of Parameters Affecting the Separation of Triterpenes from Ganoderma lucidum Fruit Bodies Using Supercritical CO_2 Extraction and Comparison with Ethanol Extraction
20111
19
Comparison of the efficacy of six different procedures for determining protein in crude polysaccharide preparations from medicinal fungi.
20105
20
Study on the essential oil from the leaves of Stellera chamaejasme L.
20021

About Na Feng

Na Feng is a scholar working on Aging, Health Informatics and Pharmacology, having authored 133 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (9 papers), Fungal Biology and Applications (8 papers), Synthesis of Indole Derivatives (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Pulmonary Hypertension Research and Treatments (7 papers), Mitochondrial Function and Pathology (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Sulfur-Based Synthesis Techniques (5 papers). The work is most often cited by research in Behavioral Neuroscience (86 citations), Health Informatics (31 citations) and Geriatrics and Gerontology (85 citations). Na Feng has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiaoming Gu, Feng Fu, Min Jia, Kenneth J. Renner, Mingge Ding, Zhenhua Liu, Yuemin Wang, Jianming Pei, Gina L. Forster and Shumiao Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

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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