Xiaoyi Qi

669 citations
25 papers · 549 · h-index 13

Impact in

Papers in

    • Cancer therapeutics and mechanisms 2
    • Melanoma and MAPK Pathways 2
    • Pharmacogenetics and Drug Metabolism 5
    • Pharmacological Effects of Natural Compounds 3

Xiaoyi Qi

24 papers receiving 542 citations

Peers

Xiaoyi Qi
Comparison fields: 5 of 81
  • Pharmacology 86
  • Cell Biology 111
  • Biochemistry 34
  • Biochemistry 40
  • Dermatology 39
Replace Daniel Poeckel with:
Daniel Poeckel Germany
Song You China
Seung‐Yong Seo South Korea
Jiro Takata Japan
Sebastiano Intagliata Italy
Hong‐Sig Sin South Korea
Hye Kyung Ju South Korea
Dongsoo Koh South Korea
Yewseok Suh United States
Xiaoyi Qi relative to Daniel Poeckel Germany Daniel Poeckel's profile →
Citations per field
00.5×1.5×2.2×
Daniel Poeckel · 1×
Citations per year

Countries citing papers authored by Xiaoyi Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201171
3 201358
4 201356
5 202035
6 201130
7 201929
8 201827
9 201624
10 201424
11 202017
12 201516
13 202315
14 202110
15 20159
16 20217
17 20245
18 20195
19 20114
20 20234

About Xiaoyi Qi

Xiaoyi Qi is a scholar working on Molecular Biology, Pharmacology, Oncology, Spectroscopy and Cell Biology, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Molecular Sensors and Ion Detection (4 papers), Computational Drug Discovery Methods (3 papers), Pharmacological Effects of Natural Compounds (3 papers), melanin and skin pigmentation (3 papers), Cancer therapeutics and mechanisms (2 papers), Melanoma and MAPK Pathways (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Pharmacology (86 citations), Cell Biology (111 citations), Biochemistry (34 citations), Biochemistry (40 citations) and Dermatology (39 citations). Xiaoyi Qi has collaborated with scholars based in China and United States. Frequent co-authors include Aoxue Wang, Cai‐Xia Tu, Ling Yang, Sicheng Liang, Mao Lin, Xiuli Wang, Liyun Ji, Zhigang Sui, Dandan Wang and Yunying Zhang. Their work appears in journals such as Journal of Pharmaceutical Sciences, International Journal of Biological Macromolecules, Scientific Reports, Dyes and Pigments and Food and Chemical Toxicology.

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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