Xiaolian Gu

924 citations
44 papers · 751 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • RNA modifications and cancer 8
    • Cancer-related gene regulation 3
    • Cancer-related Molecular Pathways 6
    • Cancer Immunotherapy and Biomarkers 4
    • Cytokine Signaling Pathways and Interactions 3

Xiaolian Gu

43 papers receiving 746 citations

Peers

Xiaolian Gu
Comparison fields: 5 of 83
  • Cancer Research 192
  • Oncology 201
  • Otorhinolaryngology 30
  • Immunology 114
  • Molecular Biology 369
Replace Hiroko Hatano with:
Hiroko Hatano Japan
San Xu China
Frédéric Martins France
Rita Chakrabarti United States
Manoochehr Tavassoli Iran
Yongyi Chen China
Wai Kien Yip Malaysia
Monica Ruse United States
Srijayaprakash Uppada United States
Xiaolian Gu relative to Hiroko Hatano Japan Hiroko Hatano's profile →
Citations per field
00.5×
Hiroko Hatano · 1×
Citations per year

Countries citing papers authored by Xiaolian Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolian Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 201548
3 200845
4 201943
5 201941
6 201141
7 201936
8 200535
9 202331
10 201629
11 201625
12 202023
13 202022
14 200921
15 201721
16 201819
17 201619
18 201819
19 201918
20 200716

About Xiaolian Gu

Xiaolian Gu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Otorhinolaryngology, having authored 44 papers that have together received 751 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer-related Molecular Pathways (6 papers), Head and Neck Cancer Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer-related gene regulation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Cancer Research (192 citations), Oncology (201 citations), Otorhinolaryngology (30 citations), Immunology (114 citations) and Molecular Biology (369 citations). Xiaolian Gu has collaborated with scholars based in Sweden, Czechia and France. Frequent co-authors include Karin Nylander, Philip J. Coates, Linda Boldrup, Robin Fåhræus, Elisabet Nylander, Jine Wu, Nicola Sgaramella, Torben Wilms, Lixiao Wang and Yujie Zhao. Their work appears in journals such as Journal of Oral Pathology and Medicine, International Journal of Biological Macromolecules, Oncotarget, The Journal of Pathology and Acta Dermato Venereologica.

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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