Li‐Chen Wu

2.3k citations
15 papers · 1.6k indexed · 1 hit paper · h-index 8
Topics
Prenatal Screening and Diagnostics (4 papers)CRISPR and Genetic Engineering (4 papers)Virus-based gene therapy research (3 papers)

In The Last Decade

Li‐Chen Wu

15 papers receiving 1.6k citations

Hit Papers

Treatment of Sickle Cell Anemia Mouse Model with iPS Cell...200720262013201920072505007501000

Peers

Li‐Chen Wu
Comparison fields: 5 of 86
  • Molecular Biology 1.2k
  • Physiology 408
  • Genetics 380
  • Surgery 190
  • Genetics 188
Replace Jean‐Marie Ramirez with:
Jean‐Marie Ramirez France
Theodore Ho United States
Anju Shukla India
Harald Eistetter Germany
Samer M. I. Hussein Canada
Shravanti Rampalli India
Simona Iezzi Italy
Mengfatt Ho United States
Vilma Barroca France
Nahoko Komatsu Japan
Li‐Chen Wu relative to Jean‐Marie Ramirez France Jean‐Marie Ramirez's profile →
Citations per field
00.5×1.5×2.3×
Jean‐Marie Ramirez · 1×
Citations per year

Countries citing papers authored by Li‐Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Chen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Chen Wu. A scholar is included among the top collaborators of Li‐Chen Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Chen Wu. Li‐Chen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 17
2 2
3 3
4 6
5 3
6 31
7 21
8 5
9 121
10 18
11 113
12
Treatment of Sickle Cell Anemia Mouse Model with iPS Cells Generated from Autologous Skinbreakdown →
1038
13 242
14 4
15 1

About Li‐Chen Wu

Li‐Chen Wu is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (4 papers), CRISPR and Genetic Engineering (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Genetics (380 citations), Molecular Biology (1.2k citations) and Hematology (184 citations). Li‐Chen Wu has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Chiao‐Wang Sun, Tim M. Townes, Alexander Meissner, Rudolf Jaenisch, Tobias Brambrink, Marius Wernig, Jacob H. Hanna, Caroline Beard, Styliani Markoulaki and John P. Cassady. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Medicine.

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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