Na Lü

3.6k citations
65 papers · 1.3k · h-index 22

Impact in

Papers in

    • Genomics and Phylogenetic Studies 16
    • Single-cell and spatial transcriptomics 7
    • Circular RNAs in diseases 4
    • RNA modifications and cancer 4
    • Advanced biosensing and bioanalysis techniques 4
    • Cancer Genomics and Diagnostics 7
    • Cancer-related molecular mechanisms research 6

Na Lü

64 papers receiving 1.3k citations

Peers

Na Lü
Comparison fields: 5 of 125
  • Molecular Medicine 112
  • Biological Psychiatry 46
  • Endocrinology 81
  • Cancer Research 188
  • Molecular Biology 721
Replace Hui Ma with:
Hui Ma China
Silvia Fernández Spain
Chie Kohchi Japan
Kristi L. Helke United States
Jinyu Wu China
Yang Yuan China
Yi‐Yuan Yang Taiwan
Ana M. Cárdenas Chile
Ke Cheng China
Na Lü relative to Hui Ma China Hui Ma's profile →
Citations per field
00.5×1.5×2.3×
Hui Ma · 1×
Citations per year

Countries citing papers authored by Na Lü

Since Specialization
Citations

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

Fields of papers citing papers by Na Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 202090
3 201068
4 201462
5 202060
6 201955
7 201453
8 201451
9 201449
10 202034
11 201731
12 201329
13 200929
14 201827
15 202127
16 200426
17 201125
18 201924
19 200824
20 202023

About Na Lü

Na Lü is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Ecology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Cancer Genomics and Diagnostics (7 papers), Single-cell and spatial transcriptomics (7 papers), Cancer-related molecular mechanisms research (6 papers), Genetic diversity and population structure (5 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Molecular Medicine (112 citations), Biological Psychiatry (46 citations), Endocrinology (81 citations), Cancer Research (188 citations) and Molecular Biology (721 citations). Na Lü has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zuhong Lu, Yongfei Hu, Baoli Zhu, Kyoko Yamane, Ohmi Ohnishi, Changwei Bi, Jing Tu, Chunpeng He, Yiqing Xu and Yue Yin. Their work appears in journals such as International Journal of Molecular Sciences, Oral Diseases, Scientific Reports, Magnetic Resonance Imaging and Nucleic Acids Research.

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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