Xiaoxiao Lu

2.4k citations
94 papers · 1.8k · h-index 22

Impact in

Papers in

    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 8
    • Chronic Lymphocytic Leukemia Research 8

Xiaoxiao Lu

89 papers receiving 1.7k citations

Peers

Xiaoxiao Lu
Comparison fields: 5 of 147
  • Cancer Research 291
  • Modeling and Simulation 66
  • Pulmonary and Respiratory Medicine 267
  • Molecular Biology 576
  • Immunology 168
Replace Wan Zhu with:
Wan Zhu China
Mingming Xiao China
Qin Yu China
Shuichi Kawano Japan
Michał T. Seweryn Poland
Christiane Fuchs Germany
Jidong Lang China
Giulia Lo Russo Italy
Yuting Liu China
Pedro Carmona-Sáez Spain
Xiaoxiao Lu relative to Wan Zhu China Wan Zhu's profile →
Citations per field
00.5×2×3×3.9×
Wan Zhu · 1×
Citations per year

Countries citing papers authored by Xiaoxiao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxiao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 2020101
3 202096
4 201792
5 201690
6 201990
7 201375
8 201362
9 201760
10 201458
11 201648
12 201547
13 201438
14 202136
15 201233
16 202230
17 201929
18 201628
19 201427
20 202225

About Xiaoxiao Lu

Xiaoxiao Lu is a scholar working on Cancer Research, Genetics, Molecular Biology, Oncology and Plant Science, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (5 papers), Thyroid and Parathyroid Surgery (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Plant Molecular Biology Research (4 papers). The work is most often cited by research in Cancer Research (291 citations), Modeling and Simulation (66 citations), Pulmonary and Respiratory Medicine (267 citations), Molecular Biology (576 citations) and Immunology (168 citations). Xiaoxiao Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiong Chen, Jian Xiao, Jiachun Lü, Xiaodi Li, Zhi‐Qiang Ling, Hongjun Zhao, Xi Chen, Yong Zou, Bixiu He and Shuya He. Their work appears in journals such as Oncotarget, Scientific Reports, Frontiers in Immunology, PLoS ONE and BioMed Research International.

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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