Xiaowei Tie

718 citations
17 papers · 634 · h-index 10

Impact in

    • Phytochemicals and Antioxidant Activities
    • Analytical chemistry methods development
    • Chromatography in Natural Products

Papers in

Xiaowei Tie

17 papers receiving 584 citations

Peers

Xiaowei Tie
Comparison fields: 5 of 85
  • Biochemistry 88
  • Analytical Chemistry 108
  • Food Science 129
  • Complementary and alternative medicine 52
  • Plant Science 207
Replace Grażyna Kowalska with:
Grażyna Kowalska Poland
Dan‐Bi Kim South Korea
Mateen Abbas Pakistan
Bassem A. Sabry Egypt
Leila Chekir France
Jianbo Xiao Spain
M. Bononi Italy
Karim Bentayeb Spain
Giovanni Burini Italy
Zhongqiu Hu China
Xiaowei Tie relative to Grażyna Kowalska Poland Grażyna Kowalska's profile →
Citations per field
00.5×5×12.3×
Grażyna Kowalska · 1×
Citations per year

Countries citing papers authored by Xiaowei Tie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005152
2 2005124
3 200798
4 200893
5 200853
6 200837
7 200719
8 201418
9 201714
10 202410
11 20219
12 20232
13 20241
14 20251
15 20231
16 20251
17 20221

About Xiaowei Tie

Xiaowei Tie is a scholar working on Analytical Chemistry, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Complementary and alternative medicine and Cancer Research, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Morinda citrifolia extract uses (3 papers), Toxic Organic Pollutants Impact (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Circular RNAs in diseases (2 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Dye analysis and toxicity (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Biochemistry (88 citations), Analytical Chemistry (108 citations), Food Science (129 citations), Complementary and alternative medicine (52 citations) and Plant Science (207 citations). Xiaowei Tie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Zhang, Yiping Ren, Baiyi Lu, Zengxuan Cai, Ying Zhang, Xiaoqin Wu, Ying Zhang, Yu Zhang, Xiaoqin Wu and Ying Zhang. Their work appears in journals such as Medicine, Journal of Chromatography A, Chemosphere, Food and Chemical Toxicology and Biochemical and Biophysical Research Communications.

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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