Lining Yang

36 papers receiving 1.8k citations

Lining Yang's Hit Papers

Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis 2016 · 503 citations
5030+3+6Years since publication100200300400500

Peers

Lining Yang
Comparison fields: 5 of 135
  • Biological Psychiatry 517
  • Behavioral Neuroscience 279
  • Clinical Psychology 299
  • Psychiatry and Mental health 194
  • Neurology 87
Replace Juncai Pu with:
Juncai Pu China
Alessandra Borsini United Kingdom
Marina Šagud Croatia
Zihang Pan Canada
Eva Z. Reininghaus Austria
Sean Hood Australia
Harris A. Eyre Australia
Hannah Zuckerman Canada
Stephen H. Boyle United States
Anja Lok Netherlands
Lining Yang relative to Juncai Pu China Juncai Pu's profile →
Citations per field
00.5×1.5×
Juncai Pu · 1×
Citations per year

Countries citing papers authored by Lining Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lining Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis
Hit paper breakdown →
2016503
2 2020174
3 2018145
4 2017126
5 201195
6 201685
7 201871
8 201757
9 201856
10 201651
11 201945
12 201845
13 201641
14 201840
15 201934
16 201634
17 201730
18 201729
19 201824
20 202222

About Lining Yang

Lining Yang is a scholar working on Biological Psychiatry, Molecular Biology, Behavioral Neuroscience, Clinical Psychology and Physiology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (10 papers), Stress Responses and Cortisol (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Diet and metabolism studies (3 papers), 2D Materials and Applications (2 papers), Topological Materials and Phenomena (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biological Psychiatry (517 citations), Behavioral Neuroscience (279 citations), Clinical Psychology (299 citations), Psychiatry and Mental health (194 citations) and Neurology (87 citations). Lining Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lanxiang Liu, Juncai Pu, Xinyu Zhou, Yuqing Zhang, Peng Xie, Yiyun Liu, Shuai Yuan, Sarah Hetrick, Andrea Cipriani and Arun Ravindran. Their work appears in journals such as Molecular Psychiatry, BMJ Open, Neuroscience, Behavioural Brain Research and Journal of Clinical Sleep Medicine.

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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