Xiaoli Fu

2.0k citations
104 papers · 1.4k · h-index 20

Impact in

Papers in

Xiaoli Fu

99 papers receiving 1.4k citations

Peers

Xiaoli Fu
Comparison fields: 5 of 153
  • Environmental Chemistry 86
  • Genetics 229
  • Molecular Biology 518
  • Endocrinology 33
  • Water Science and Technology 83
Replace Xueqin Yang with:
Xueqin Yang China
Mi‐Hyun Park South Korea
Jia Zhang China
Masahiko Nishimura Japan
Mohammed Abderrafi Benotmane Belgium
Ling Li China
Yoshiharu Miura Japan
Xinyu Guo China
Christian Roß United States
Huan Qiu China
Xiaoli Fu relative to Xueqin Yang China Xueqin Yang's profile →
Citations per field
00.5×1.5×1.9×
Xueqin Yang · 1×
Citations per year

Countries citing papers authored by Xiaoli Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001175
2 2017108
3 201787
4 200084
5 201543
6 201641
7
A protein chip system for parallel analysis of multi-tumor markers and its application in cancer detection.
200440
8 201335
9 201134
10 201633
11 201433
12 201930
13 202130
14 201728
15 201824
16
N-acetylcysteine protects Chinese Hamster ovary cells from oxidative injury and apoptosis induced by microcystin-LR.
201524
17 202423
18 201922
19 202321
20 201020

About Xiaoli Fu

Xiaoli Fu is a scholar working on Molecular Biology, Civil and Structural Engineering, Electrical and Electronic Engineering, Ecology and Water Science and Technology, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hydrology and Sediment Transport Processes (7 papers), Fluoride Effects and Removal (7 papers), Hydraulic flow and structures (6 papers), Advanced Fiber Optic Sensors (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Photonic and Optical Devices (4 papers) and Semiconductor Lasers and Optical Devices (3 papers). The work is most often cited by research in Environmental Chemistry (86 citations), Genetics (229 citations), Molecular Biology (518 citations), Endocrinology (33 citations) and Water Science and Technology (83 citations). Xiaoli Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lawrence Rothfield, Yu‐Ling Shih, Yan Zhang, Bin Yu, Peng Zhang, Huizhen Zhang, Susan Rowland, William R. Cook, Mustapha Umar Imam and Zhiguang Ping. Their work appears in journals such as Sustainability, Ocean Engineering, Medicine, BMC Public Health and Ecotoxicology and Environmental Safety.

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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