Na Fang

1.9k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

Na Fang is a scholar working on Molecular Biology, Cancer Research and Biophysics. According to data from OpenAlex, Na Fang has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Biophysics. Recurrent topics in Na Fang's work include Advanced Fluorescence Microscopy Techniques (9 papers), MicroRNA in disease regulation (8 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Na Fang is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (9 papers), MicroRNA in disease regulation (8 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Na Fang collaborates with scholars based in China, United States and Pakistan. Na Fang's co-authors include Yu Fan, Yanfen Wang, Tongpeng Xu, Tao Yu, Yongqian Shu, Tongshan Wang, Bo Fu, Yijun Shi, Rui Zhang and Jianzhong Zhou and has published in prestigious journals such as The Plant Cell, Gene and Journal of Physics D Applied Physics.

In The Last Decade

Na Fang

39 papers receiving 1.3k citations

Hit Papers

CircRNAs in cancer metabolism: a review 2019 2026 2021 2023 2019 100 200 300

Peers

Na Fang
Comparison fields: 5 of 121
  • Molecular Biology 739
  • Cancer Research 590
  • Plant Science 171
  • Control and Systems Engineering 127
  • Electrical and Electronic Engineering 115
Replace Bahram G. Kermani with:
Bahram G. Kermani United States
Junchen Wang China
Chun‐Yang Fan United States
Qiang Kang China
Brian J. Parker Australia
Marco De Simone Italy
Zhigang Wang China
Xinsheng Huang China
John Lai Australia
Bahram G. Kermani United States View profile →
Citations per field, relative to Na Fang
Na Fang · 1×
Citations per year, relative to Na Fang
Na Fang · 1×

Countries citing papers authored by Na Fang

Since Specialization
Citations

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

Fields of papers citing papers by Na Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Na Fang. A scholar is included among the top collaborators of Na Fang 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 Na Fang. Na Fang 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
# Work Indexed citations
1 1
2 1
3 6
4 10
5 3
6 15
7 3
8 66
9 78
10 49
11 21
12
CircRNAs in cancer metabolism: a review breakdown →
327
13 1
14 70
15 21
16 101
17 5
18
Statistical analysis of leakage accidents of submarine pipeline
10
19 60
20 20

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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