Xia Gu

739 citations
26 papers · 571 · h-index 9

Impact in

Papers in

    • Metabolism and Genetic Disorders 4
    • RNA modifications and cancer 5
    • Mitochondrial Function and Pathology 4
    • Glycosylation and Glycoproteins Research 1
    • Machine Learning in Bioinformatics 1
    • Heat shock proteins research 1

Xia Gu

22 papers receiving 566 citations

Peers

Xia Gu
Comparison fields: 5 of 83
  • Cancer Research 97
  • Immunology 106
  • Molecular Biology 333
  • Cardiology and Cardiovascular Medicine 73
  • Physiology 67
Replace Nhat-Tu Le with:
Nhat-Tu Le United States
Ian T. Lobb Canada
Lingdi Wang China
Wencong Song China
Nandita S. Raikwar United States
Jieyu Guo China
Tamlyn N. Thomas United States
Marco Trevisán-Herraz Spain
Wu Xiang China
Xia Gu relative to Nhat-Tu Le United States Nhat-Tu Le's profile →
Citations per field
00.5×2×2.8×
Nhat-Tu Le · 1×
Citations per year

Countries citing papers authored by Xia Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia 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 Xia Gu Line = papers co-authored together Xia 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 2018173
2 2020156
3 201749
4 198943
5 202129
6 202021
7 201416
8 202311
9 202310
10 20059
11 20218
12 20197
13 20217
14 20216
15 20215
16 20205
17 20234
18 20223
19 20253
20 20233

About Xia Gu

Xia Gu is a scholar working on Clinical Biochemistry, Molecular Biology, Cancer Research, Immunology and Organic Chemistry, having authored 26 papers that have together received 571 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (4 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (2 papers), Glycosylation and Glycoproteins Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Cancer Research (97 citations), Immunology (106 citations), Molecular Biology (333 citations), Cardiology and Cardiovascular Medicine (73 citations) and Physiology (67 citations). Xia Gu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Qiang Wan, Yi Liu, Yuan Ma, Xuedong Wang, Bo Yu, Changbin Sun, Xinxin Liu, Jiangtian Tian, Hailong Wang and Jinwei Tian. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Cancer Cell International, Free Radical Biology and Medicine, Frontiers in Microbiology and Journal of the American Heart Association.

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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