Hung Li

8.2k citations
93 papers · 7.0k · 1 hit paper · h-index 45

Impact in

  • Genetics top 0.2%
    • Neurogenetic and Muscular Disorders Research
    • Mesenchymal stem cell research
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • RNA modifications and cancer 17
    • RNA Research and Splicing 7
    • Epigenetics and DNA Methylation 7
    • Renal and related cancers 6
    • Neurogenetic and Muscular Disorders Research 20
    • Mesenchymal stem cell research 12
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7

Hung Li

93 papers receiving 6.8k citations

Hung Li's Hit Papers

A mouse model for spinal muscular atrophy 2000 · 608 citations
6080+8+17Years since publication200400600

Peers

Hung Li
Comparison fields: 5 of 137
  • Genetics 2.4k
  • Developmental Neuroscience 616
  • Molecular Biology 4.2k
  • Neurology 404
  • Cellular and Molecular Neuroscience 741
Replace Melissa K. Carpenter with:
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Hung Li relative to Melissa K. Carpenter United States Melissa K. Carpenter's profile →
Citations per field
00.5×1.5×1.8×
Melissa K. Carpenter · 1×
Citations per year

Countries citing papers authored by Hung Li

Since Specialization
Citations

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

Fields of papers citing papers by Hung Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A mouse model for spinal muscular atrophy
Hit paper breakdown →
2000608
2 1998378
3 2001348
4 1995346
5 1997334
6 2004296
7 2002245
8 2010227
9 2007190
10 2016187
11 2008157
12 2006149
13 2016129
14 2008126
15 2008124
16 2007123
17 2007112
18 2006105
19 2005103
20 2005103

About Hung Li

Hung Li is a scholar working on Molecular Biology, Genetics, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 7.0k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (20 papers), RNA modifications and cancer (17 papers), Mesenchymal stem cell research (12 papers), RNA Research and Splicing (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Epigenetics and DNA Methylation (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Renal and related cancers (6 papers). The work is most often cited by research in Genetics (2.4k citations), Developmental Neuroscience (616 citations), Molecular Biology (4.2k citations), Neurology (404 citations) and Cellular and Molecular Neuroscience (741 citations). Hung Li has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Woei‐Cherng Shyu, Shinn‐Zong Lin, Hsiu Mei Hsieh‐Li, Yuh‐Jyh Jong, Nancy M. Wang, Jan‐Gowth Chang, S. Steven Potter, Ming‐Fu Chiang, Chang Hai Tsai and Ching‐Yuan Su. Their work appears in journals such as PLoS ONE, Mechanisms of Development, Journal of Neuroscience, Neurobiology of Disease and Human Molecular Genetics.

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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