Christina Liang

1.5k citations
28 papers · 743 indexed · h-index 14
Topics
Genetic Neurodegenerative Diseases (9 papers)Mitochondrial Function and Pathology (8 papers)Neurogenetic and Muscular Disorders Research (6 papers)
Journals
SHILAP Revista de lepidopterologíaBrainNeurology

In The Last Decade

Christina Liang

27 papers receiving 731 citations

Peers

Christina Liang
Comparison fields: 5 of 62
  • Molecular Biology 453
  • Cellular and Molecular Neuroscience 169
  • Genetics 135
  • Clinical Biochemistry 125
  • Epidemiology 119
Replace Claudio Bruno with:
Claudio Bruno Italy
J. Colomer Spain
Carmen Paradas Spain
Ralitza H. Gavrilova United States
Matteo Garibaldi Italy
Donal Costigan Ireland
Chiara Aiello Italy
B. Eymard France
Hajime Arahata Japan
Mohammed Faruq India
Christina Liang relative to Claudio Bruno Italy Claudio Bruno's profile →
Citations per field
00.5×1.5×2.3×
Claudio Bruno · 1×
Citations per year

Countries citing papers authored by Christina Liang

Since Specialization
Citations

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

Fields of papers citing papers by Christina Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Liang. A scholar is included among the top collaborators of Christina Liang 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 Christina Liang. Christina Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 4
3 1
4 2
5 1
6 13
7 7
8 8
9 1
10 20
11 15
12 43
13
Use of whole-exome sequencing for diagnosis of Limb-Girdle muscular dystrophy
2
14 60
15 33
16 16
17 46
18 14
19 3
20 92

About Christina Liang

Christina Liang is a scholar working on Clinical Biochemistry, Genetics and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 743 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (8 papers) and Neurogenetic and Muscular Disorders Research (6 papers). The work is most often cited by research in Clinical Biochemistry (125 citations), Genetics (107 citations) and Cellular and Molecular Neuroscience (169 citations). Christina Liang has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Carolyn M. Sue, Merrilee Needham, Ryan L. Davis, Kate Ahmad, Catherine Riley, Karl Ng, Himesha Vandebona, Garth A. Nicholson, Alastair Corbett and Mark R. Davis. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

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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