Zelalem Negeri

2.7k total citations · 4 hit papers
12 papers, 1.3k citations indexed

About

Zelalem Negeri is a scholar working on Statistics and Probability, Social Psychology and Clinical Psychology. According to data from OpenAlex, Zelalem Negeri has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Social Psychology and 3 papers in Clinical Psychology. Recurrent topics in Zelalem Negeri's work include Statistical Methods and Bayesian Inference (4 papers), Meta-analysis and systematic reviews (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (3 papers). Zelalem Negeri is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Meta-analysis and systematic reviews (3 papers) and Maternal Mental Health During Pregnancy and Postpartum (3 papers). Zelalem Negeri collaborates with scholars based in Canada, United Kingdom and Germany. Zelalem Negeri's 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 and has published in prestigious journals such as JAMA, Clinical Infectious Diseases and BMJ.

In The Last Decade

Zelalem Negeri

12 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

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 data

2020 481 citations Brooke Levis, Zelalem Negeri et al. BMJ profile →
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 →
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 →
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

Countries citing papers authored by Zelalem Negeri

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Zelalem Negeri

This figure shows the co-authorship network connecting the top 25 collaborators of Zelalem Negeri. A scholar is included among the top collaborators of Zelalem Negeri 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 Zelalem Negeri. Zelalem Negeri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	An evaluation of computational methods for aggregate data meta-analyses of diagnostic test accuracy studies 2024 ·BMC Medical Research Methodology ·(unknown), (unknown), Zelalem Negeri	2
2	Mental health before and during the pandemic in people with systemic sclerosis 2021 ·The Lancet Rheumatology ·Richard S. Henry, Linda Kwakkenbos, Marie‐Eve Carrier, Zelalem Negeri, (unknown), Scott B. Patten, Susan J. Bartlett, Luc Mouthon, John Varga, Andrea Benedetti, Brett D. Thombs	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-analysis breakdown → 2021 ·BMJ ·Yin Wu, Brooke Levis, Ying Sun, Chen He, Ankur Krishnan, Dipika Neupane, Parash Mani Bhandari, Zelalem Negeri, Andrea Benedetti, Brett D. Thombs	138
4	Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis breakdown → 2021 ·BMJ ·Zelalem Negeri, Brooke Levis, Ying Sun, Chen He, Ankur Krishnan, Yin Wu, Parash Mani Bhandari, Dipika Neupane, (unknown), Andrea Benedetti, Brett D. Thombs	177
5	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 Data 2021 ·Obstetric Anesthesia Digest ·Brooke Levis, Zelalem Negeri, Ying Sun, Andrea Benedetti, Brett D. Thombs	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 data breakdown → 2020 ·BMJ ·Brooke Levis, Zelalem Negeri, (unknown), Andrea Benedetti, Brett D. Thombs	481
7	Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression breakdown → 2020 ·JAMA ·Brooke Levis, Ying Sun, Chen He, Yin Wu, Ankur Krishnan, Parash Mani Bhandari, Dipika Neupane, Mahrukh Imran, (unknown), Zelalem Negeri, Felix Fischer, Andrea Benedetti, Brett D. Thombs	330
8	Robust bivariate random-effects model for accommodating outlying and influential studies in meta-analysis of diagnostic test accuracy studies 2020 ·Statistical Methods in Medical Research ·Zelalem Negeri, Joseph Beyene	8
9	Skew‐normal random‐effects model for meta‐analysis of diagnostic test accuracy (DTA) studies 2020 ·Biometrical Journal ·Zelalem Negeri, Joseph Beyene	3
10	Statistical methods for detecting outlying and influential studies in meta-analysis of diagnostic test accuracy studies 2019 ·Statistical Methods in Medical Research ·Zelalem Negeri, Joseph Beyene	7
11	Bivariate random‐effects meta‐analysis models for diagnostic test accuracy studies using arcsine‐based transformations 2018 ·Biometrical Journal ·Zelalem Negeri, Mateen Shaikh, Joseph Beyene	24
12	Galactomannan, β-D-Glucan, and Polymerase Chain Reaction–Based Assays for the Diagnosis of Invasive Fungal Disease in Pediatric Cancer and Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-Analysis 2016 ·Clinical Infectious Diseases ·Thomas Lehrnbecher, Paula D. Robinson, Brian T. Fisher, Elio Castagnola, Andreas H. Groll, William J. Steinbach, Theoklis E. Zaoutis, Zelalem Negeri, Joseph Beyene, Bob Phillips, Lillian Sung	108

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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