Suxiang Feng

1.5k citations
87 papers · 1.2k indexed · h-index 21

Suxiang Feng

84 papers receiving 1.1k citations

Peers

Suxiang Feng
Comparison fields: 5 of 106
  • Complementary and alternative medicine 136
  • Electrochemistry 83
  • Pharmacology 116
  • Toxicology 37
  • Bioengineering 59
Replace Prashant S. Kharkar with:
Prashant S. Kharkar India
Xiaohui Zheng China
Essam Ezzeldin Saudi Arabia
Hongsheng Tan China
Weiling Li China
Shaoguang Li China
Meicun Yao China
Liwei Zhang China
Jinjin Yin China
Leila Hosseinzadeh Iran
Suxiang Feng relative to Prashant S. Kharkar India Prashant S. Kharkar's profile →
Citations per field
00.5×3.6×
Prashant S. Kharkar · 1×
Citations per year

Countries citing papers authored by Suxiang Feng

Since Specialization
Citations

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

Fields of papers citing papers by Suxiang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20244
3 20242
4 20247
5 20237
6 20233
7 20235
8 20226
9 202226
10 20226
11 202130
12 202014
13 202021
14 201728
15 201715
16 201624
17 201420
18
Pharmacokinetics of butylidene phthalide in the volatile oil from Angelica sinensis(Oliv.) Diels in rabbits
20091
19
Study on the Processing Technologies of Cortex Moutan
20081
20
Determination of anthraquinones in effective fragments of Naomaitong by reverse-phase high performance liquid chromatography
20071

About Suxiang Feng

Suxiang Feng is a scholar working on Complementary and alternative medicine, Pharmacology and Bioengineering, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (16 papers), Traditional Chinese Medicine Analysis (15 papers), Advanced biosensing and bioanalysis techniques (8 papers), Molecular Sensors and Ion Detection (7 papers), Electrochemical Analysis and Applications (7 papers), Analytical Chemistry and Sensors (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Natural product bioactivities and synthesis (6 papers). The work is most often cited by research in Complementary and alternative medicine (136 citations), Electrochemistry (83 citations) and Pharmacology (116 citations). Suxiang Feng has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Jiansheng Li, Xuefang Liu, Peng Zhao, Lingbo Qu, Yange Tian, Xiaokun Li, Qiujuan Ma, Yanqin Qin, Haoran Dong and Yulong Chen. Their work appears in journals such as PLoS ONE, Journal of The Electrochemical Society and Journal of Hazardous Materials.

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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