Fangfang Zhan

410 citations
20 papers · 280 indexed · h-index 9
Topics
Biosensors and Analytical Detection (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)Alzheimer's disease research and treatments (2 papers)
Partner nations
ChinaAustraliaZimbabwe

In The Last Decade

Fangfang Zhan

18 papers receiving 274 citations

Peers

Fangfang Zhan
Comparison fields: 5 of 69
  • Molecular Biology 171
  • Biomedical Engineering 138
  • Plant Science 54
  • Materials Chemistry 26
  • Infectious Diseases 26
Replace Hayam Mansour with:
Hayam Mansour Egypt
Juan Yao China
Jeffrey W. Wang United States
Haiping Wu China
М. А. Филиппова Russia
Ruitao Liu China
Bruno Martínez-Leo United States
Effat Alemzadeh Iran
Hao Qiu China
Rupesh Maurya India
Fangfang Zhan relative to Hayam Mansour Egypt Hayam Mansour's profile →
Citations per field
00.5×
Hayam Mansour · 1×
Citations per year

Countries citing papers authored by Fangfang Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Zhan. A scholar is included among the top collaborators of Fangfang Zhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangfang Zhan. Fangfang Zhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 1
5 5
6 0
7 10
8 14
9 2
10 9
11 5
12 5
13 4
14 59
15 60
16 16
17 12
18
[Detection for gene-based gene-gene interaction via kernel canonical correlation analysis].
1
19 64
20 9

About Fangfang Zhan

Fangfang Zhan is a scholar working on Complementary and Manual Therapy, Nephrology and Insect Science, having authored 20 papers that have together received 280 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Biomedical Engineering (138 citations), Molecular Biology (171 citations) and Endocrinology (10 citations). Fangfang Zhan has collaborated with scholars based in China, Australia and Zimbabwe. Frequent co-authors include Jiasui Zhan, Tian Wang, Xiaoming Zhou, Hongxing Liu, Fang Liu, Da Xing, Ying Liu, Yingju Liu, Huifang Chen and Weipeng Liu. Their work appears in journals such as Applied and Environmental Microbiology, Plant Cell & Environment and Analytica Chimica Acta.

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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