Li‐Fang Chu

3.2k citations
28 papers · 2.0k indexed · 1 hit paper · h-index 16
  • Aging top 5%
    • Single-cell and spatial transcriptomics 12
    • Pluripotent Stem Cells Research 7
    • CRISPR and Genetic Engineering 6
    • Gene Regulatory Network Analysis 4
    • Congenital heart defects research 4
    • Gene expression and cancer classification 3
    • Developmental Biology and Gene Regulation 3
    • Extracellular vesicles in disease 2
  • Biophysics top 2%

Li‐Fang Chu

28 papers receiving 2.0k citations

Hit Papers

Efficient genome engineering in human pluripotent stem ce...5252013202620172021100200300400500

Peers

Li‐Fang Chu
Comparison fields: 5 of 105
  • Business and International Management 82
  • Aging 63
  • Molecular Biology 1.8k
  • Biophysics 117
  • Cancer Research 267
Replace Sourav Choudhury with:
Sourav Choudhury India
Jonathan Y. Hsu United States
Kendell Clement United States
Jaime A. Rivera‐Pérez United States
Yonatan Stelzer Israel
Jonathan D. Chesnut United States
Eswar Prasad R. Iyer United States
Martin Teichmann France
Jim Kent United States
Li‐Fang Chu relative to Sourav Choudhury India Sourav Choudhury's profile →
Citations per field
00.5×5.4×
Sourav Choudhury · 1×
Citations per year

Countries citing papers authored by Li‐Fang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Fang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 202254
4 20215
5 20204
6 20192
7 201947
8 20188
9 201825
10 2017105
11 2017190
12 201746
13 201614
14 201639
15 2015116
16 201421
17 2013105
18 2008159
19 200810
20 200629

About Li‐Fang Chu

Li‐Fang Chu is a scholar working on Molecular Biology, Urology and Cancer Research, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers), Gene Regulatory Network Analysis (4 papers), Congenital heart defects research (4 papers), Gene expression and cancer classification (3 papers), Developmental Biology and Gene Regulation (3 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Business and International Management (82 citations), Aging (63 citations) and Molecular Biology (1.8k citations). Li‐Fang Chu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include James A. Thomson, Ron Stewart, Zhonggang Hou, Christina Kendziorski, Ning Leng, Sara E. Howden, Yan Zhang, Nicholas E. Propson, Erik J. Sontheimer and Michael A. Newton. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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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