Peiling Yang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Pharmacology top 5%
- Treatment of Major Depression
Papers in
-
- Treatment of Major Depression 4
-
- Statistical Methods in Clinical Trials 3
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Co-authors
- Ni A. Khin (7 shared papers)Thomas Laughren (4 shared papers)Yeh‐Fong Chen (4 shared papers)Yang Yang (1 shared paper)Mitchell Mathis (3 shared papers)Ellis F. Unger (3 shared papers)Paul A. David (1 shared paper)Hung Hung (4 shared papers)
- Journals
- The Journal of Clinical Psychiatry (7 papers)Journal of Biopharmaceutical Statistics (4 papers)Contemporary Clinical Trials (1 paper)Journal of the Endocrine Society (1 paper)International Heart Journal (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Peiling Yang
15 papers receiving 457 citations
Peers
Comparison fields: 5 of 72
- Biological Psychiatry 41
- Pharmacology 191
- Psychiatry and Mental health 112
- Statistics and Probability 45
- Experimental and Cognitive Psychology 62
Countries citing papers authored by Peiling Yang
This map shows the geographic impact of Peiling 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 Peiling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiling Yang more than expected).
Fields of papers citing papers by Peiling Yang
This network shows the impact of papers produced by Peiling 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 Peiling Yang. The network helps show where Peiling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiling Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 173 | |
| 2 | 2014 | 93 | |
| 3 | 2012 | 66 | |
| 4 | Fulvestrant in postmenopausal women with advanced breast cancer. | 2003 | 46 |
| 5 | 2014 | 29 | |
| 6 | 2015 | 15 | |
| 7 | 2015 | 11 | |
| 8 | 2011 | 10 | |
| 9 | 2014 | 10 | |
| 10 | 2010 | 8 | |
| 11 | 2015 | 6 | |
| 12 | 2011 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2006 | 1 |
About Peiling Yang
Peiling Yang is a scholar working on Pharmacology, Statistics and Probability, Management Science and Operations Research, Psychiatry and Mental health and Surgery, having authored 15 papers that have together received 472 indexed citations. Recurring topics across this work include Treatment of Major Depression (4 papers), Statistical Methods in Clinical Trials (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Optimal Experimental Design Methods (2 papers), Pain Management and Placebo Effect (1 paper), Estrogen and related hormone effects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biological Psychiatry (41 citations), Pharmacology (191 citations), Psychiatry and Mental health (112 citations), Statistics and Probability (45 citations) and Experimental and Cognitive Psychology (62 citations). Peiling Yang has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Ni A. Khin, Thomas Laughren, Yeh‐Fong Chen, Yang Yang, Mitchell Mathis, Ellis F. Unger, Yang Yang, Paul A. David, Hung Hung and Robert J. Temple. Their work appears in journals such as The Journal of Clinical Psychiatry, Journal of Biopharmaceutical Statistics, Contemporary Clinical Trials, Journal of the Endocrine Society and International Heart Journal.
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.