Gai‐Xia Lu

854 citations
25 papers · 496 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • MicroRNA in disease regulation 12
    • Cancer-related molecular mechanisms research 10
    • Circular RNAs in diseases 8
    • RNA modifications and cancer 7

Gai‐Xia Lu

24 papers receiving 495 citations

Peers

Gai‐Xia Lu
Comparison fields: 5 of 64
  • Cancer Research 297
  • Molecular Biology 368
  • Oncology 94
  • Hepatology 20
  • Pathology and Forensic Medicine 38
Replace Shi-Xun Lu with:
Shi-Xun Lu China
Zetian Shen China
Yanmei Cui China
Nicole P. Ho Hong Kong
Mariangela Balistreri Italy
Maria Apicella Italy
Shican Yan China
Xiaoyan Lin China
Meng Xie China
Ella Liberzon Israel
Gai‐Xia Lu relative to Shi-Xun Lu China Shi-Xun Lu's profile →
Citations per field
00.5×1.7×
Shi-Xun Lu · 1×
Citations per year

Countries citing papers authored by Gai‐Xia Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gai‐Xia Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gai‐Xia Lu, 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 Gai‐Xia Lu Line = papers co-authored together Gai‐Xia Lu 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 201866
2 201864
3 201840
4 201736
5 201835
6 202130
7 201728
8 202026
9 202120
10 201720
11 201719
12 201818
13 201818
14 201614
15 201714
16 201713
17 20189
18 20218
19 20217
20 20233

About Gai‐Xia Lu

Gai‐Xia Lu is a scholar working on Cancer Research, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 25 papers that have together received 496 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (7 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (2 papers), Thyroid and Parathyroid Surgery (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Cancer Research (297 citations), Molecular Biology (368 citations), Oncology (94 citations), Hepatology (20 citations) and Pathology and Forensic Medicine (38 citations). Gai‐Xia Lu has collaborated with scholars based in China and Tanzania. Frequent co-authors include Da Fu, Yu‐Shui Ma, Zhongwei Lv, Xianling Cong, Zhengyan Chang, Fei Yu, Ruting Xie, Huiqiong Yang, Xiaoming Zhong and Shaobo Xue. Their work appears in journals such as Oncology Reports, Frontiers in Endocrinology, Oncotarget, Cellular Signalling and Molecular Therapy.

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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