Liang‐Yo Yang

47 papers receiving 1.9k citations

Peers

Liang‐Yo Yang
Comparison fields: 5 of 112
  • Behavioral Neuroscience 168
  • Reproductive Medicine 291
  • Biological Psychiatry 46
  • Neurology 143
  • Genetics 463
Replace Sakina Mhaouty‐Kodja with:
Sakina Mhaouty‐Kodja France
Christian Guerra‐Araiza Mexico
T. John Wu United States
Dilek Taşkıran Türkiye
Adriana Seilicovich Argentina
Maria Christina W. Avellar Brazil
Rebecca L. Cunningham United States
Masayuki Saito Japan
Rory Mitchell United Kingdom
Yan Sun China
Liang‐Yo Yang relative to Sakina Mhaouty‐Kodja France Sakina Mhaouty‐Kodja's profile →
Citations per field
00.5×1.6×
Sakina Mhaouty‐Kodja · 1×
Citations per year

Countries citing papers authored by Liang‐Yo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Yo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002393
2 2002377
3 2021198
4 200786
5 201086
6 200372
7 200055
8 200047
9 200838
10 201337
11 200637
12 202037
13 201633
14 200729
15 202129
16 200528
17 201125
18 200023
19 201423
20 202023

About Liang‐Yo Yang

Liang‐Yo Yang is a scholar working on Molecular Biology, Immunology, Neurology, Cancer Research and Pathology and Forensic Medicine, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Hypothalamic control of reproductive hormones (4 papers), Stress Responses and Cortisol (4 papers), Immune cells in cancer (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Nerve injury and regeneration (3 papers), Tryptophan and brain disorders (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Behavioral Neuroscience (168 citations), Reproductive Medicine (291 citations), Biological Psychiatry (46 citations), Neurology (143 citations) and Genetics (463 citations). Liang‐Yo Yang has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Arthur P. Arnold, Paul S. Burgoyne, Amanda Swain, Richard B. Simerly, Geert J. De Vries, Elka M. Scordalakes, Robin Lovell‐Badge, Catherine J. Auger, Emilie F. Rissman and Lynwood G. Clemens. Their work appears in journals such as Journal of Cellular Physiology, Nutrients, Behavioral Neuroscience, Journal of Cellular Biochemistry and Environmental Toxicology.

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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