Zelalem Negeri
- Obstetrics and Gynecology top 5%
- Clinical Psychology top 5%
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- Maternal Mental Health During Pregnancy and Postpartum 3
- Biological Psychiatry top 10%
- Health top 10%
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- Statistical Methods and Bayesian Inference 4
- Statistical Methods in Clinical Trials 2
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- Meta-analysis and systematic reviews 3
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- Mental Health Treatment and Access 2
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- Neutropenia and Cancer Infections 1
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 1
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- Forest ecology and management 1
Zelalem Negeri
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Obstetrics and Gynecology 212
- Clinical Psychology 427
- Public Health, Environmental and Occupational Health 568
- Biological Psychiatry 33
- Health 85
Countries citing papers authored by Zelalem Negeri
This map shows the geographic impact of Zelalem Negeri'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 Zelalem Negeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zelalem Negeri more than expected).
Fields of papers citing papers by Zelalem Negeri
This network shows the impact of papers produced by Zelalem Negeri. 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 Zelalem Negeri. The network helps show where Zelalem Negeri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zelalem Negeri, 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 | 2024 | 2 | |
| 2 | 2021 | 5 | |
| 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-analysisbreakdown → | 2021 | 138 |
| 4 | Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysisbreakdown → | 2021 | 177 |
| 5 | 2021 | 43 | |
| 6 | Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant databreakdown → | 2020 | 481 |
| 7 | Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depressionbreakdown → | 2020 | 330 |
| 8 | 2020 | 8 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 108 |
About Zelalem Negeri
Zelalem Negeri is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Social Psychology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Meta-analysis and systematic reviews (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Statistical Methods in Clinical Trials (2 papers), Mental Health Treatment and Access (2 papers), Neutropenia and Cancer Infections (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Forest ecology and management (1 paper). The work is most often cited by research in Obstetrics and Gynecology (212 citations), Clinical Psychology (427 citations) and Public Health, Environmental and Occupational Health (568 citations). Zelalem Negeri has collaborated with scholars based in Canada, United Kingdom and Germany. Frequent co-authors include Brett D. Thombs, Andrea Benedetti, Brooke Levis, Yin Wu, Parash Mani Bhandari, Ankur Krishnan, Dipika Neupane, Ying Sun, Chen He and Joseph Beyene. Their work appears in journals such as JAMA, Clinical Infectious Diseases 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.