Lu Tan

1.9k citations
59 papers · 1.5k · h-index 19

Impact in

Papers in

    • RNA Interference and Gene Delivery 6
    • RNA modifications and cancer 5
    • Genomics and Phylogenetic Studies 3
    • RNA Research and Splicing 3
    • Sperm and Testicular Function 3

Lu Tan

54 papers receiving 1.4k citations

Peers

Lu Tan
Comparison fields: 5 of 117
  • Cancer Research 235
  • Developmental Neuroscience 36
  • Molecular Biology 593
  • Immunology 170
  • Reproductive Medicine 59
Replace Junli Zhao with:
Junli Zhao China
Yuan Chen China
Nayoung Suh South Korea
Shu Aizawa Japan
Sunita Sharma India
Michael Ollmann United States
Katherine J. Robinson Australia
Swapnil Gupta India
Xun Clare Zhou China
Aliesha González‐Arenas Mexico
Lu Tan relative to Junli Zhao China Junli Zhao's profile →
Citations per field
00.5×1.5×2.0×
Junli Zhao · 1×
Citations per year

Countries citing papers authored by Lu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019166
2 2019139
3 2020111
4 2015109
5 202063
6 201762
7 201561
8 201860
9 202058
10 201552
11 201746
12 202338
13 201136
14 201335
15 201634
16 202033
17 201629
18 202126
19 202423
20 202416

About Lu Tan

Lu Tan is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Sleep and Wakefulness Research (5 papers), RNA modifications and cancer (5 papers), Chromosomal and Genetic Variations (5 papers), Genomics and Phylogenetic Studies (3 papers), Viral Infections and Vectors (3 papers), Sperm and Testicular Function (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (235 citations), Developmental Neuroscience (36 citations), Molecular Biology (593 citations), Immunology (170 citations) and Reproductive Medicine (59 citations). Lu Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiong Wang, Yanjun Lu, Xun Sun, Tao Zheng, Yingying Hou, Xiangdong Tang, Junying Zhou, Yuandong Zhang, Xiaoyan Chen and Yunting Zhang. Their work appears in journals such as Journal of Controlled Release, Botanical Journal of the Linnean Society, Cell Reports Methods, Aging and Translational Neurodegeneration.

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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