Hung Li

7.5k citations
88 papers · 6.1k indexed · 1 hit paper · h-index 43

Hung Li

88 papers receiving 6.0k citations

Hit Papers

A mouse model for spinal muscular atrophy5852000202620082017100200300400500

Peers

Hung Li
Comparison fields: 5 of 137
  • Genetics 2.4k
  • Developmental Neuroscience 463
  • Molecular Biology 3.9k
  • Neurology 442
  • Cellular and Molecular Neuroscience 587
Replace Derrick J. Rossi with:
Derrick J. Rossi United States
Alexandra Stolzing United Kingdom
Pranela Rameshwar United States
Shulan Tian United States
Michelle D. Tallquist United States
Simón Méndez‐Ferrer United Kingdom
José M. Polo Australia
Jeffrey L. Spees United States
Michael J. Conboy United States
Majlinda Lako United Kingdom
Hung Li relative to Derrick J. Rossi United States Derrick J. Rossi's profile →
Citations per field
00.5×1.5×
Derrick J. Rossi · 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-authorship network

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
#Work
1 2016167
2 201171
3 200860
4 200838
5 200888
6 200743
7 2007120
8 200716
9 200646
10 2005101
11 200535
12 20052
13 200464
14 200372
15 200210
16 200213
17 200215
18 200136
19 200023
20 199793

About Hung Li

Hung Li is a scholar working on Genetics, Developmental Neuroscience, Neurology, Molecular Biology and Genetics, having authored 88 papers that have together received 6.1k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (20 papers), RNA modifications and cancer (20 papers), Mesenchymal stem cell research (14 papers), RNA Research and Splicing (8 papers), CRISPR and Genetic Engineering (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Renal and related cancers (7 papers) and Congenital Anomalies and Fetal Surgery (7 papers). The work is most often cited by research in Genetics (2.4k citations), Developmental Neuroscience (463 citations), Molecular Biology (3.9k citations), Neurology (442 citations) and Cellular and Molecular Neuroscience (587 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, Chang Hai Tsai, Ming‐Fu Chiang, Ching‐Yuan Su and Hsiu-Mei Hsieh-Li. Their work appears in journals such as PLoS ONE, Human Molecular Genetics, Mechanisms of Development, Neurobiology of Disease and Journal of Neuroscience.

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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