Lan Miao

623 citations
41 papers · 481 · h-index 15

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Signaling Pathways in Disease 3
    • RNA modifications and cancer 3
    • Viral-associated cancers and disorders 3

Lan Miao

38 papers receiving 476 citations

Peers

Lan Miao
Comparison fields: 5 of 67
  • Neurology 55
  • Complementary and alternative medicine 38
  • Oncology 113
  • Molecular Biology 269
  • Immunology 77
Replace Ebru Alp with:
Ebru Alp Türkiye
Fu‐Gang Duan China
Hsin‐Jung Wu United States
Wang‐Xiang Xu China
Toshifumi Hibi Japan
Yuan Dong China
Xiongwei Huo China
Yuexian Zhou China
Yitao Ou China
Begoña Cánovas Spain
Lan Miao relative to Ebru Alp Türkiye Ebru Alp's profile →
Citations per field
00.5×1.5×2.2×
Ebru Alp · 1×
Citations per year

Countries citing papers authored by Lan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Lan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200648
2 201446
3 202234
4 201429
5 201325
6 200425
7 201423
8 200922
9 201722
10 201121
11 201220
12 201415
13 201715
14 201014
15 201314
16 201312
17 201511
18 201210
19 20109
20 20139

About Lan Miao

Lan Miao is a scholar working on Molecular Biology, Oncology, Complementary and alternative medicine, Immunology and Surgery, having authored 41 papers that have together received 481 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Traditional Chinese Medicine Analysis (5 papers), Traditional Chinese Medicine Studies (4 papers), Signaling Pathways in Disease (3 papers), Galectins and Cancer Biology (3 papers), Viral-associated cancers and disorders (3 papers), RNA modifications and cancer (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (55 citations), Complementary and alternative medicine (38 citations), Oncology (113 citations), Molecular Biology (269 citations) and Immunology (77 citations). Lan Miao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Li Gong, Shaojun Zhu, Yanhong Li, Xiujuan Han, Jianxun Liu, Li Lin, Cheng-Ren Lin, Wendong Zhang, Wei Zhang and Liu Hong. Their work appears in journals such as Diagnostic Pathology, Chromatographia, Journal of Separation Science, Medical Oncology and Phytomedicine.

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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