Yi-Lynn Liang

905 citations
11 papers · 546 indexed · h-index 10
Topics
Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (6 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
Partner nations
AustraliaJapanChina

In The Last Decade

Yi-Lynn Liang

11 papers receiving 544 citations

Peers

Yi-Lynn Liang
Comparison fields: 5 of 61
  • Molecular Biology 461
  • Cellular and Molecular Neuroscience 281
  • Endocrinology, Diabetes and Metabolism 107
  • Radiology, Nuclear Medicine and Imaging 64
  • Spectroscopy 47
Replace Tin T. Truong with:
Tin T. Truong Australia
Lachlan Clydesdale Australia
Thomas Coudrat Australia
Matthew Chu United States
James Kean United Kingdom
Qingya Shen China
Christopher J. Draper-Joyce Australia
Yanting Yin United States
Madhu Chaturvedi India
Hemlata Dwivedi‐Agnihotri India
Yi-Lynn Liang relative to Tin T. Truong Australia Tin T. Truong's profile →
Citations per field
00.5×
Tin T. Truong · 1×
Citations per year

Countries citing papers authored by Yi-Lynn Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Lynn Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi-Lynn Liang

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 53
2 49
3 10
4 49
5 63
6 36
7 42
8 49
9 84
10 103
11 8

About Yi-Lynn Liang

Yi-Lynn Liang is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 11 papers that have together received 546 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Structural Biology (22 citations), Cellular and Molecular Neuroscience (281 citations) and Molecular Biology (461 citations). Yi-Lynn Liang has collaborated with scholars based in Australia, Japan and China. Frequent co-authors include Patrick M. Sexton, Arthur Christopoulos, Denise Wootten, Radostin Danev, Sebastian G. B. Furness, Matthew J. Belousoff, Alisa Glukhova, Christopher J. Draper-Joyce, Peishen Zhao and Asuka Inoue. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.

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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