Mahrukh Imran

1.5k citations
18 papers · 470 indexed · 1 hit paper · h-index 9

Mahrukh Imran

18 papers receiving 450 citations

Hit Papers

Accuracy of the PHQ-2 Alone and in Combination With the P...3302020202620222024100200300

Peers

Mahrukh Imran
Comparison fields: 5 of 87
  • Health 61
  • Clinical Psychology 121
  • Biological Psychiatry 12
  • Applied Psychology 24
  • Experimental and Cognitive Psychology 51
Replace Juan Carlos Bazo‐Alvarez with:
Juan Carlos Bazo‐Alvarez United Kingdom
Yuval Barak‐Corren United States
Amelia Jewell United Kingdom
Narjes Bahri Iran
George Kypriotakis United States
Felix Wicke Germany
Dionisios Bratis Greece
Rachel Thomas United States
Molly Jung United States
Sònia Rojas‐Farreras Spain
Mahrukh Imran relative to Juan Carlos Bazo‐Alvarez United Kingdom Juan Carlos Bazo‐Alvarez's profile →
Citations per field
00.5×1.7×
Juan Carlos Bazo‐Alvarez · 1×
Citations per year

Countries citing papers authored by Mahrukh Imran

Since Specialization
Citations

This map shows the geographic impact of Mahrukh Imran'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 Mahrukh Imran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahrukh Imran more than expected).

Fields of papers citing papers by Mahrukh Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahrukh Imran. 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 Mahrukh Imran. The network helps show where Mahrukh Imran may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mahrukh Imran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mahrukh Imran Line = papers co-authored together Mahrukh Imran links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20241
2 20241
3 20243
4 20244
5 20232
6 202219
7 202218
8 202212
9 202215
10 20218
11 20218
12 20219
13 20214
14 202110
15 202118
16
Review of use of the Trials within Cohorts (TwiCs) design approach
20204
17 20204
18
Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depressionbreakdown →
2020330

About Mahrukh Imran

Mahrukh Imran is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Epidemiology, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (10 papers), Meta-analysis and systematic reviews (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Ethics in Clinical Research (3 papers), Pneumonia and Respiratory Infections (3 papers), Vaccine Coverage and Hesitancy (2 papers) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Health (61 citations), Clinical Psychology (121 citations) and Biological Psychiatry (12 citations). Mahrukh Imran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Brett D. Thombs, Brooke Levis, Ankur Krishnan, Andrea Benedetti, Yin Wu, Ying Sun, Chen He, Felix Fischer, Parash Mani Bhandari and Dipika Neupane. Their work appears in journals such as JAMA, Journal of Clinical Epidemiology and Vaccine.

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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