Ni A. Khin
- Pharmacology top 5%
- Psychiatry and Mental health top 10%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Economics and Econometrics top 10%
- Co-authors
- Thomas LaughrenYeh‐Fong ChenPeiling YangYang YangHung HungEllis F. UngerMitchell MathisPaul A. David
- Topics
- Health Systems, Economic Evaluations, Quality of Life (9 papers)Treatment of Major Depression (8 papers)Statistical Methods in Clinical Trials (5 papers)
- Journals
- Clinical Cancer ResearchClinical Pharmacology & TherapeuticsThe Journal of Clinical Psychiatry
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Ni A. Khin
22 papers receiving 579 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 224
- Psychiatry and Mental health 170
- Cognitive Neuroscience 123
- Experimental and Cognitive Psychology 104
- Economics and Econometrics 91
Countries citing papers authored by Ni A. Khin
This map shows the geographic impact of Ni A. Khin'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 Ni A. Khin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni A. Khin more than expected).
Fields of papers citing papers by Ni A. Khin
This network shows the impact of papers produced by Ni A. Khin. 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 Ni A. Khin. The network helps show where Ni A. Khin may publish in the future.
Co-authorship network of co-authors of Ni A. Khin
This figure shows the co-authorship network connecting the top 25 collaborators of Ni A. Khin. A scholar is included among the top collaborators of Ni A. Khin 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 Ni A. Khin. Ni A. Khin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Current and Emerging Technologies to Address the Placebo Response Challenge in CNS Clinical Trials: Promise, Pitfalls, and Pathways Forward. | 1 |
| 3 | 7 | |
| 4 | 1 | |
| 5 | Using Artificial Intelligence-based Methods to Address the Placebo Response in Clinical Trials. | 9 |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 88 | |
| 12 | 25 | |
| 13 | 63 | |
| 14 | 168 | |
| 15 | 2 | |
| 16 | 38 | |
| 17 | 32 | |
| 18 | 0 | |
| 19 | 15 | |
| 20 | 8 |
About Ni A. Khin
Ni A. Khin is a scholar working on Statistics and Probability, Pharmacology and Biological Psychiatry, having authored 23 papers that have together received 604 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Treatment of Major Depression (8 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Pharmacology (224 citations) and Psychiatry and Mental health (170 citations). Ni A. Khin has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Thomas Laughren, Yeh‐Fong Chen, Peiling Yang, Yang Yang, Hung Hung, Yang Yang, Ellis F. Unger, Mitchell Mathis, Paul A. David and Phillip D. Kronstein. Their work appears in journals such as Clinical Cancer Research, Clinical Pharmacology & Therapeutics and The Journal of Clinical Psychiatry.
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.