Xiaoting Gu

535 citations
26 papers · 283 · h-index 9

Impact in

Papers in

    • Bioinformatics and Genomic Networks 3
    • Gene expression and cancer classification 2
    • Circular RNAs in diseases 2
    • Epigenetics and DNA Methylation 2
    • MicroRNA in disease regulation 2

Xiaoting Gu

21 papers receiving 279 citations

Peers

Xiaoting Gu
Comparison fields: 5 of 61
  • Cancer Research 92
  • Sensory Systems 12
  • Molecular Biology 166
  • Genetics 51
  • Toxicology 6
Replace Harini Srinivasan with:
Harini Srinivasan United States
Cyrille Guimaraes France
Juliette Martin Switzerland
Fuyun Wu China
Allen L. Alcivar United States
Xiaolan Liu China
Aru Singh India
Jian Luo China
Anne L. Donato United States
Stéphane Kuenzli Switzerland
Xiaoting Gu relative to Harini Srinivasan United States Harini Srinivasan's profile →
Citations per field
00.5×6.4×
Harini Srinivasan · 1×
Citations per year

Countries citing papers authored by Xiaoting Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201466
2 201453
3 199228
4 201527
5
[Studies on chemical constituents from Euphorbia fischeriana Steud].
200113
6 199112
7 200712
8 201611
9 201611
10 20246
11 20226
12 20146
13 20236
14 20144
15 20244
16 20164
17 20254
18 20174
19 20233
20 20232

About Xiaoting Gu

Xiaoting Gu is a scholar working on Molecular Biology, Cancer Research, Genetics, Pharmacology and Dermatology, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Diabetes and associated disorders (2 papers), Dermatologic Treatments and Research (2 papers), Wound Healing and Treatments (2 papers), Circular RNAs in diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (92 citations), Sensory Systems (12 citations), Molecular Biology (166 citations), Genetics (51 citations) and Toxicology (6 citations). Xiaoting Gu has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Dongxu He, Xin Ma, Jiang Li, Jian Jin, Jian Jin, Youran Li, Dequan Liu, P Czernichow, Isabelle Fajardy and Frédéric Dubois. Their work appears in journals such as Frontiers in Oncology, Journal of Pharmaceutical and Biomedical Analysis, Frontiers in Plant Science, iScience and The journal of nutrition health & aging.

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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