Mohammad Ali

61 papers receiving 961 citations

Peers

Mohammad Ali
Comparison fields: 5 of 126
  • Health 129
  • Modeling and Simulation 40
  • Public Health, Environmental and Occupational Health 228
  • Clinical Psychology 164
  • Pediatrics, Perinatology and Child Health 133
Replace Abbas Balouchi with:
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Edmond S. W. Ng United Kingdom
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Ana Isabel Cobo‐Cuenca Spain
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Parvin Mangolian Shahrbabaki Iran
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Mohammad Ali relative to Abbas Balouchi Iran Abbas Balouchi's profile →
Citations per field
00.5×10×
Abbas Balouchi · 1×
Citations per year

Countries citing papers authored by Mohammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Ali, 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 Mohammad Ali Line = papers co-authored together Mohammad Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2 2011108
3 200884
4 202166
5 202141
6 201239
7 202033
8 202029
9 202128
10 202227
11 202027
12 202125
13 201124
14 202024
15 202223
16 202122
17 201922
18 202017
19 202217
20 200917

About Mohammad Ali

Mohammad Ali is a scholar working on Clinical Psychology, Pharmacology, Public Health, Environmental and Occupational Health, Economics and Econometrics and Health, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (8 papers), COVID-19 and Mental Health (7 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Vaccine Coverage and Hesitancy (3 papers), Psychological Well-being and Life Satisfaction (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Health (129 citations), Modeling and Simulation (40 citations), Public Health, Environmental and Occupational Health (228 citations), Clinical Psychology (164 citations) and Pediatrics, Perinatology and Child Health (133 citations). Mohammad Ali has collaborated with scholars based in Bangladesh, Pakistan and Australia. Frequent co-authors include Ahmed Hossain, Kaniz Gausia, Colleen Fisher, Jacques Oosthuizen, Zakir Uddin, Gias U. Ahsan, Mahrukh Ayesha Ali, Joy E Lawn, Aamer Imdad and Zulfiqar A Bhutta. Their work appears in journals such as Heliyon, International Journal of Infectious Diseases, Age and Ageing, Journal of Health Population and Nutrition and Renal Failure.

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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