Lan Lan

3.4k citations
114 papers · 2.5k · h-index 27

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA Research and Splicing 15
    • RNA modifications and cancer 12
    • RNA and protein synthesis mechanisms 8
    • Hearing, Cochlea, Tinnitus, Genetics 24

Lan Lan

110 papers receiving 2.4k citations

Peers

Lan Lan
Comparison fields: 5 of 129
  • Sensory Systems 246
  • Cancer Research 344
  • Molecular Biology 1.4k
  • Neurology 147
  • Immunology 309
Replace X. Steven Wan with:
X. Steven Wan United States
Tongtong Zou United States
Nicholas E. Hoffman United States
Xiaoyan Wu China
Anna Maria Mileo Italy
M. Scott Harris United States
Ping Lei China
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Lan Lan relative to X. Steven Wan United States X. Steven Wan's profile →
Citations per field
00.5×8.2×
X. Steven Wan · 1×
Citations per year

Countries citing papers authored by Lan Lan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010184
2 2019127
3 2015125
4 1997115
5 2015105
6 201881
7 202080
8 201572
9 201559
10 201158
11 201357
12 201954
13 201152
14 200751
15 201750
16 201845
17 201943
18 201839
19 202237
20 202236

About Lan Lan

Lan Lan is a scholar working on Molecular Biology, Sensory Systems, Cancer Research, Neurology and Genetics, having authored 114 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (24 papers), RNA Research and Splicing (15 papers), RNA modifications and cancer (12 papers), Vestibular and auditory disorders (9 papers), RNA and protein synthesis mechanisms (8 papers), MicroRNA in disease regulation (6 papers), Insect and Pesticide Research (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Sensory Systems (246 citations), Cancer Research (344 citations), Molecular Biology (1.4k citations), Neurology (147 citations) and Immunology (309 citations). Lan Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liang Xu, Yue Wang, Xiaoqing Wu, Qingshan Wang, Rong Xiang, Ní Hóng, Xiaoli Wei, Rebecca T. Marquez, Junfang Qin and Jing Guan. Their work appears in journals such as Cancer Research, Journal of Chromatography A, PLoS ONE, Oncotarget and Acta Oto-Laryngologica.

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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