Li‐Chun Tu

1.4k citations
19 papers · 962 · h-index 11

Impact in

Papers in

    • RNA Research and Splicing 9
    • RNA and protein synthesis mechanisms 6
    • Genomics and Chromatin Dynamics 6
    • CRISPR and Genetic Engineering 6
    • Advanced biosensing and bioanalysis techniques 4
    • Nuclear Structure and Function 4
    • RNA Interference and Gene Delivery 2

Li‐Chun Tu

17 papers receiving 956 citations

Peers

Li‐Chun Tu
Comparison fields: 5 of 72
  • Business and International Management 42
  • Aging 37
  • Molecular Biology 895
  • Biophysics 31
  • Structural Biology 7
Replace Anja van Brabant Smith with:
Anja van Brabant Smith United States
Derek Jantz United States
Loı̈c Perrouault France
Romina J. Pagliero Netherlands
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Leila Peraro United States
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Michelle Byrom United States
Nasim Sabouri Sweden
Ying Bao China
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Citations per field
00.5×3.5×
Anja van Brabant Smith · 1×
Citations per year

Countries citing papers authored by Li‐Chun Tu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chun Tu. 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 Li‐Chun Tu. The network helps show where Li‐Chun Tu may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016330
2 2016148
3 2018111
4 201896
5 201373
6 200848
7 200838
8 201937
9 201033
10 202311
11 201711
12 20088
13 20236
14 20235
15 20234
16 20242
17 20181
18 20160
19 20250

About Li‐Chun Tu

Li‐Chun Tu is a scholar working on Molecular Biology, Genetics, Plant Science, Pharmacology and Genetics, having authored 19 papers that have together received 962 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Nuclear Structure and Function (4 papers), RNA Interference and Gene Delivery (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Business and International Management (42 citations), Aging (37 citations), Molecular Biology (895 citations), Biophysics (31 citations) and Structural Biology (7 citations). Li‐Chun Tu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Hanhui Ma, Ardalan Naseri, Shaojie Zhang, Thoru Pederson, David Grünwald, Maximiliaan Huisman, Siegfried M. Musser, Yu-Chieh Chung, Anton Zilman and Guo Fu. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, Journal of the American Chemical Society, Nature Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell 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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