Peiling Yang

870 citations
15 papers · 452 indexed · h-index 9

Impact in

Papers in

    • Statistical Methods in Clinical Trials 4
    • Statistical Methods and Bayesian Inference 2
    • Statistical Methods and Inference 2
    • Treatment of Major Depression 7

Peiling Yang

15 papers receiving 438 citations

Peers

Peiling Yang
Comparison fields: 5 of 72
  • Biological Psychiatry 61
  • Pharmacology 220
  • Psychiatry and Mental health 137
  • Experimental and Cognitive Psychology 106
  • Statistics and Probability 49
Replace Ni A. Khin with:
Ni A. Khin United States
Michaela Strobelberger United States
Mandy Kromp Germany
Kristen Focht United States
Graeme Archer United Kingdom
Chamindi Seneviratne United States
P. Tanghøj Denmark
Maureen S. Drews United States
M Słomkowski United States
André Elferink Netherlands
Peiling Yang relative to Ni A. Khin United States Ni A. Khin's profile →
Citations per field
00.5×1.5×
Ni A. Khin · 1×
Citations per year

Countries citing papers authored by Peiling Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peiling Yang Line = papers co-authored together Peiling Yang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011168
2 201488
3 201263
4
Fulvestrant in postmenopausal women with advanced breast cancer.
200346
5 201426
6 201514
7 201510
8 201410
9 20119
10 20108
11 20155
12 20112
13 20171
14 20061
15 20201

About Peiling Yang

Peiling Yang is a scholar working on Statistics and Probability, Pharmacology, Psychiatry and Mental health, Economics and Econometrics and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 452 indexed citations. Recurring topics across this work include Treatment of Major Depression (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Bayesian Inference (2 papers), Sexual function and dysfunction studies (2 papers), Pain Management and Placebo Effect (2 papers), Statistical Methods and Inference (2 papers) and Optimal Experimental Design Methods (2 papers). The work is most often cited by research in Biological Psychiatry (61 citations), Pharmacology (220 citations), Psychiatry and Mental health (137 citations), Experimental and Cognitive Psychology (106 citations) and Statistics and Probability (49 citations). Peiling Yang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Ni A. Khin, Yeh‐Fong Chen, Thomas Laughren, 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, International Heart Journal and Journal of the Endocrine Society.

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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