Xiaoke Gu

832 citations
39 papers · 705 · h-index 16

Impact in

Papers in

    • Cancer therapeutics and mechanisms 10
    • Genomics, phytochemicals, and oxidative stress 5
    • Bioactive Natural Diterpenoids Research 2
    • Drug Transport and Resistance Mechanisms 12

Xiaoke Gu

38 papers receiving 701 citations

Peers

Xiaoke Gu
Comparison fields: 5 of 86
  • Organic Chemistry 204
  • Toxicology 23
  • Oncology 144
  • Pharmacology 44
  • Molecular Biology 350
Replace Rao N. V. S. Mamidi with:
Rao N. V. S. Mamidi United States
Hai‐Liang Zhu China
Yih Ho Taiwan
Malek Zihlif Jordan
Pranesh Kumar India
Wulan Li China
Yin‐Kwan Wong China
Stephen T. Ingalls United States
Xiaoke Gu relative to Rao N. V. S. Mamidi United States Rao N. V. S. Mamidi's profile →
Citations per field
00.5×
Rao N. V. S. Mamidi · 1×
Citations per year

Countries citing papers authored by Xiaoke Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 202246
3 201942
4 201939
5 201236
6 201536
7 201635
8 201734
9 201633
10 201231
11 201920
12 201820
13 202020
14 201118
15 201217
16 202316
17 201715
18 202214
19 201413
20 201913

About Xiaoke Gu

Xiaoke Gu is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Organic Chemistry and Epidemiology, having authored 39 papers that have together received 705 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), HIV/AIDS drug development and treatment (11 papers), Cancer therapeutics and mechanisms (10 papers), Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Bioactive Natural Diterpenoids Research (2 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Organic Chemistry (204 citations), Toxicology (23 citations), Oncology (144 citations), Pharmacology (44 citations) and Molecular Biology (350 citations). Xiaoke Gu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hui Peng, Yihua Zhang, Xiaoxing Yin, Zhiguang Ren, Xiaobo Tang, Sixun Peng, Yisheng Lai, Qian Lü, Lei Du and Yibing Chen. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Chemistry & Biodiversity and Bioorganic & Medicinal Chemistry.

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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