Pan Fu

1.3k citations
39 papers · 1.1k · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 24
    • RNA Interference and Gene Delivery 9
    • DNA and Nucleic Acid Chemistry 7
    • Extracellular vesicles in disease 4
    • Biosensors and Analytical Detection 12

Pan Fu

36 papers receiving 1.1k citations

Peers

Pan Fu
Comparison fields: 5 of 85
  • Molecular Biology 803
  • Geriatrics and Gerontology 31
  • Biomedical Engineering 423
  • Electronic, Optical and Magnetic Materials 177
  • Cancer Research 106
Replace Suhash Reddy Chavva with:
Suhash Reddy Chavva United States
Michał Gorzkiewicz Poland
Josh Haipeng Lei Macao
B. Ashok Reddy India
Woo-Yeon Kim South Korea
Shuai Wu China
Xian‐Da Yang China
Qianwen Zhang China
Carla Cruz Portugal
Meijia Gu China
Pan Fu relative to Suhash Reddy Chavva United States Suhash Reddy Chavva's profile →
Citations per field
00.5×10.3×
Suhash Reddy Chavva · 1×
Citations per year

Countries citing papers authored by Pan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2017122
3 201991
4 202264
5 201654
6 202054
7 201646
8 202044
9 201539
10 202235
11 202235
12 202130
13 201927
14 201825
15 200322
16 202120
17 202316
18 202016
19 201814
20 202414

About Pan Fu

Pan Fu is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Pulmonary and Respiratory Medicine and Ecology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (24 papers), Biosensors and Analytical Detection (12 papers), RNA Interference and Gene Delivery (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Carbon and Quantum Dots Applications (6 papers), Extracellular vesicles in disease (4 papers), Nanocluster Synthesis and Applications (3 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). The work is most often cited by research in Molecular Biology (803 citations), Geriatrics and Gerontology (31 citations), Biomedical Engineering (423 citations), Electronic, Optical and Magnetic Materials (177 citations) and Cancer Research (106 citations). Pan Fu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Hua Kuang, Liguang Xu, Chuanlai Xu, Maozhong Sun, Wei Ma, Chao Zhao, Shu Xing, Mengjia Xu, Jianping Zheng and Yang Zhao. Their work appears in journals such as Analytical Chemistry, RSC Advances, Journal of the American Chemical Society, Advanced Materials and Biosensors and Bioelectronics.

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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