Dipika Neupane

2.5k total citations · 3 hit papers
14 papers, 901 citations indexed

About

Dipika Neupane is a scholar working on Social Psychology, Clinical Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dipika Neupane has authored 14 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Clinical Psychology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dipika Neupane's 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). Dipika Neupane is often cited by papers focused on Mental Health Treatment and Access (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Health disparities and outcomes (2 papers). Dipika Neupane collaborates with scholars based in Canada, Nepal and United Kingdom. Dipika Neupane's 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 and has published in prestigious journals such as JAMA, PLoS ONE and BMJ.

In The Last Decade

Dipika Neupane

12 papers receiving 882 citations

Hit Papers

Accuracy of the PHQ-2 Alone and in Combination With the P... 2020 2026 2022 2024 2020 2021 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression
    2020 330 citations Brooke Levis, Ying Sun et al. JAMA profile →
  2. Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis
    2021 177 citations Zelalem Negeri, Brooke Levis et al. BMJ profile →
  3. Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis
    2021 138 citations Yin Wu, Brooke Levis et al. BMJ profile →

Peers

Dipika Neupane
Parash Mani Bhandari Nepal
Rina S. Fox United States
Gabriela Barbaglia Spain
Joke Fleer Netherlands
Yuqiu Zhou China
Jingping Zhang China
Georita Marie Frierson United States
Mingyu Fan China
Margrit Löbner Germany
Parash Mani Bhandari Nepal
Dipika Neupane
Citations per year, relative to Dipika Neupane Dipika Neupane (= 1×) peers Parash Mani Bhandari

Countries citing papers authored by Dipika Neupane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

14 of 14 papers shown
1.
Neupane, Dipika, Noah Ivers, Tara Kiran, et al.. (2024). Increasing primary care capacity by adding team members. PubMed Central. 7038–7038.
2.
Wu, Yin, Ying Sun, Brooke Levis, et al.. (2023). Depression screening tool accuracy individual participant data meta-analyses: data contribution was associated with multiple factors. Journal of Clinical Epidemiology. 162. 63–71.
3.
Neupane, Dipika, Brooke Levis, Yin Wu, et al.. (2022). ‘Optimal’ cutoff selection in studies of depression screening tool accuracy using the PHQ‐9, EPDS, or HADS‐D: A meta‐research study. International Journal of Methods in Psychiatric Research. 32(3). e1956–e1956. 8 indexed citations
4.
Wu, Yin, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis. BMJ. 373. n972–n972. 138 indexed citations breakdown →
5.
Neupane, Dipika, Brooke Levis, Parash Mani Bhandari, Brett D. Thombs, & Andrea Benedetti. (2021). Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire‐9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta‐analysis. International Journal of Methods in Psychiatric Research. 30(3). e1873–e1873. 12 indexed citations
6.
Negeri, Zelalem, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis. BMJ. 375. n2183–n2183. 177 indexed citations breakdown →
7.
Adhikari, Bipin, Parash Mani Bhandari, Dipika Neupane, & Shiva Raj Mishra. (2020). A Retrospective Analysis of Mortality From 2015 Gorkha Earthquakes of Nepal: Evidence and Future Recommendations. Disaster Medicine and Public Health Preparedness. 15(1). 127–133. 10 indexed citations
8.
Levis, Brooke, Ying Sun, Chen He, et al.. (2020). Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression. JAMA. 323(22). 2290–2290. 330 indexed citations breakdown →
9.
Thapa, Kiran, et al.. (2019). Physical activity and its correlates among higher secondary school students in an urban district of Nepal. BMC Public Health. 19(1). 886–886. 13 indexed citations
10.
Sharma, Abhishek, Parash Mani Bhandari, Dipika Neupane, Warren Kaplan, & Shiva Raj Mishra. (2018). Challenges constraining insulin access in Nepal—a country with no local insulin production. International Health. 10(3). 182–190. 12 indexed citations
11.
12.
Acharya, Pawan, Tara Ballav Adhikari, Dipika Neupane, Kiran Thapa, & Parash Mani Bhandari. (2017). Correlates of institutional deliveries among teenage and non-teenage mothers in Nepal. PLoS ONE. 12(10). e0185667–e0185667. 18 indexed citations
13.
Bhandari, Parash Mani, et al.. (2017). Sleep quality, internet addiction and depressive symptoms among undergraduate students in Nepal. BMC Psychiatry. 17(1). 106–106. 153 indexed citations
14.
Neupane, Dipika, et al.. (2016). Caregivers’ Attitude towards People with Mental Illness and Perceived Stigma: A Cross-Sectional Study in a Tertiary Hospital in Nepal. PLoS ONE. 11(6). e0158113–e0158113. 17 indexed citations

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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