Mengxiang Su

935 citations
70 papers · 751 indexed · h-index 18

Impact in

  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

    • Forensic Toxicology and Drug Analysis 13
    • Analytical Chemistry and Chromatography 14
    • Mass Spectrometry Techniques and Applications 5

Mengxiang Su

63 papers receiving 737 citations

Peers

Mengxiang Su
Comparison fields: 5 of 108
  • Toxicology 63
  • Spectroscopy 218
  • Analytical Chemistry 116
  • Pharmacology 52
  • Complementary and alternative medicine 46
Replace Lamya H. Al-Wahaibi with:
Lamya H. Al-Wahaibi Saudi Arabia
Constantina P. Kapnissi‐Christodoulou Cyprus
Aiguo Zeng China
Huaming Sheng United States
H. Y. Aboul‐Enein Saudi Arabia
Varun Bhardwaj India
Ningbo Gong China
P. Shanmugasundaram India
Fereshteh Shiri Iran
Ivana S. Lula Brazil
Mengxiang Su relative to Lamya H. Al-Wahaibi Saudi Arabia Lamya H. Al-Wahaibi's profile →
Citations per field
00.5×
Lamya H. Al-Wahaibi · 1×
Citations per year

Countries citing papers authored by Mengxiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Mengxiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 20244
5 20241
6 20243
7 202312
8 20236
9 20228
10 20227
11 202221
12 20223
13 201812
14 201728
15 201620
16 20162
17 20138
18 201211
19 201025
20 200815

About Mengxiang Su

Mengxiang Su is a scholar working on Toxicology, Spectroscopy, Analytical Chemistry, Complementary and alternative medicine and Pharmacology, having authored 70 papers that have together received 751 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (14 papers), Forensic Toxicology and Drug Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Mesoporous Materials and Catalysis (11 papers), Advanced Chemical Sensor Technologies (6 papers), Alcohol Consumption and Health Effects (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Toxicology (63 citations), Spectroscopy (218 citations), Analytical Chemistry (116 citations), Pharmacology (52 citations) and Complementary and alternative medicine (46 citations). Mengxiang Su has collaborated with scholars based in China, Algeria and Tunisia. Frequent co-authors include Bin Di, Fang Yan, Zhendong Hua, Taijun Hang, Youmei Wang, Jinlong Chen, Linjun You, Da‐Song Yang, Min Song and Miaomiao Niu. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Journal of Chromatography B, Microchemical Journal, RSC Advances and Journal of Chromatography A.

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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