M. Liang

1.9k citations
7 papers · 94 · 1 hit paper · h-index 4

Impact in

    • Metabolism and Genetic Disorders
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

M. Liang

7 papers receiving 90 citations

M. Liang's Hit Papers

Interim analyses of a first-in-human phase 1/2 mRNA trial for propionic acidaemia 2024 · 55 citations
550+1Years since publication1020304050

Peers

M. Liang
Comparison fields: 5 of 41
  • Clinical Biochemistry 11
  • Molecular Biology 64
  • Nuclear and High Energy Physics 10
  • Genetics 17
  • Infectious Diseases 8
Replace Jorge Álvarez-Jarreta with:
Jorge Álvarez-Jarreta Spain
Vipulkumar Patel United States
Kelly Shaffer United States
Michel Zamojski United States
Robbin Schnieders Germany
T. Eifert Switzerland
C Hughes United Kingdom
Monique D. Courtenay United States
J. Tang China
Chuanning Tang China
M. Liang relative to Jorge Álvarez-Jarreta Spain Jorge Álvarez-Jarreta's profile →
Citations per field
00.5×6.8×
Jorge Álvarez-Jarreta · 1×
Citations per year

Countries citing papers authored by M. Liang

Since Specialization
Citations

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

Fields of papers citing papers by M. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Interim analyses of a first-in-human phase 1/2 mRNA trial for propionic acidaemia
Hit paper breakdown →
202455
2 202421
3 200010
4 19674
5 20252
6 19941
7 20081

About M. Liang

M. Liang is a scholar working on Clinical Biochemistry, Molecular Biology, Management Information Systems, Atomic and Molecular Physics, and Optics and Rheumatology, having authored 7 papers that have together received 94 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Quantum and electron transport phenomena (1 paper), Semiconductor Quantum Structures and Devices (1 paper), Smart Grid and Power Systems (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Biochemical and Molecular Research (1 paper), Aluminum Alloy Microstructure Properties (1 paper) and Quantum optics and atomic interactions (1 paper). The work is most often cited by research in Clinical Biochemistry (11 citations), Molecular Biology (64 citations), Nuclear and High Energy Physics (10 citations), Genetics (17 citations) and Infectious Diseases (8 citations). M. Liang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Tarekegn Geberhiwot, Vanja Sikirica, Gerald S. Lipshutz, Rajnish Saini, Dwight D. Koeberl, Junxiang Luo, Ling Jin, Neal Sondheimer, Lerong Li and Stephanie Grünewald. Their work appears in journals such as Textile Research Journal, Nature, Materials Letters, Journal of Physics D Applied Physics and Nature Communications.

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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