Wanting Xu

1.7k citations
66 papers · 1.2k · h-index 19

Impact in

  • Toxicology top 2%
    • Bioactive Compounds and Antitumor Agents
    • Pharmacological Effects of Natural Compounds

Papers in

Wanting Xu

60 papers receiving 1.2k citations

Peers

Wanting Xu
Comparison fields: 5 of 113
  • Toxicology 101
  • Pharmacology 113
  • Molecular Medicine 55
  • Molecular Biology 683
  • Complementary and alternative medicine 52
Replace Mahadeb Pal with:
Mahadeb Pal India
Brooke J. Marfell Australia
Byung Woo Han South Korea
Siddik Sarkar India
Binghui Li China
Nathaniel B. Goldstein United States
Wuguang Lu China
Xiaofei Shen China
Chunli Wu China
Peng Yang China
Wanting Xu relative to Mahadeb Pal India Mahadeb Pal's profile →
Citations per field
00.5×3.2×
Mahadeb Pal · 1×
Citations per year

Countries citing papers authored by Wanting Xu

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000198
2 1998128
3 201963
4 202055
5 202038
6 201938
7 202036
8 202036
9 201932
10 202132
11 201931
12 201830
13 199830
14 202029
15 201828
16 201923
17 202020
18 201820
19 201819
20 201918

About Wanting Xu

Wanting Xu is a scholar working on Molecular Biology, Toxicology, Organic Chemistry, Oncology and Epidemiology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioactive Compounds and Antitumor Agents (16 papers), Synthesis and biological activity (10 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Burn Injury Management and Outcomes (4 papers), Antibiotic Resistance in Bacteria (3 papers), Cancer Mechanisms and Therapy (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Toxicology (101 citations), Pharmacology (113 citations), Molecular Medicine (55 citations), Molecular Biology (683 citations) and Complementary and alternative medicine (52 citations). Wanting Xu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Diane G. Edmondson, Sharon Y. Roth, Cheng‐Hao Jin, Ying‐Hua Luo, Richard R. Behringer, Maki Wakamiya, Yvonne A. Evrard, Hui Xue, Xian‐Ji Piao and Tong Zhang. Their work appears in journals such as Scientific Reports, Burns, OncoTargets and Therapy, International Journal of Nanomedicine and Tissue and Cell.

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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