Dipika Neupane
- Clinical Psychology top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- General Health Professions top 10%
- Sociology and Political Science top 10%
- Co-authors
- Parash Mani BhandariBrooke LevisBrett D. ThombsAndrea BenedettiYin WuAnkur KrishnanZelalem NegeriYing Sun
- Topics
- Mental Health Treatment and Access (3 papers)Maternal Mental Health During Pregnancy and Postpartum (3 papers)Health disparities and outcomes (2 papers)
- Partner nations
- CanadaNepalUnited Kingdom
In The Last Decade
Dipika Neupane
12 papers receiving 882 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Clinical Psychology 299
- Social Psychology 155
- Experimental and Cognitive Psychology 154
- General Health Professions 144
- Sociology and Political Science 142
Countries citing papers authored by Dipika Neupane
This map shows the geographic impact of Dipika Neupane'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 Dipika Neupane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Neupane more than expected).
Fields of papers citing papers by Dipika Neupane
This network shows the impact of papers produced by Dipika Neupane. 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 Dipika Neupane. The network helps show where Dipika Neupane may publish in the future.
Co-authorship network of co-authors of Dipika Neupane
This figure shows the co-authorship network connecting the top 25 collaborators of Dipika Neupane. A scholar is included among the top collaborators of Dipika Neupane 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 Dipika Neupane. Dipika Neupane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysisbreakdown → | 138 |
| 5 | 12 | |
| 6 | Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysisbreakdown → | 177 |
| 7 | 10 | |
| 8 | Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depressionbreakdown → | 330 |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 18 | |
| 13 | 153 | |
| 14 | 17 |
About Dipika Neupane
Dipika Neupane is a scholar working on Family Practice, Health and Social Psychology, having authored 14 papers that have together received 901 indexed citations. Recurring topics across this work include Mental Health Treatment and Access (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Clinical Psychology (299 citations), Applied Psychology (67 citations) and Experimental and Cognitive Psychology (154 citations). Dipika Neupane has collaborated with scholars based in Canada, Nepal and United Kingdom. Frequent co-authors include Parash Mani Bhandari, Brooke Levis, Brett D. Thombs, Andrea Benedetti, Yin Wu, Ankur Krishnan, Zelalem Negeri, Ying Sun, Shiva Raj Mishra and Kiran Thapa. Their work appears in journals such as JAMA, PLoS ONE and BMJ.
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.