Devi Mohan

1.7k total citations
56 papers, 697 citations indexed

About

Devi Mohan is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Devi Mohan has authored 56 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 14 papers in Public Health, Environmental and Occupational Health and 12 papers in General Health Professions. Recurrent topics in Devi Mohan's work include Dementia and Cognitive Impairment Research (15 papers), Nutritional Studies and Diet (9 papers) and Sodium Intake and Health (6 papers). Devi Mohan is often cited by papers focused on Dementia and Cognitive Impairment Research (15 papers), Nutritional Studies and Diet (9 papers) and Sodium Intake and Health (6 papers). Devi Mohan collaborates with scholars based in Malaysia, United Kingdom and Australia. Devi Mohan's co-authors include Daniel D. Reidpath, Mario Siervo, Blossom C. M. Stephan, Louise Robinson, Andrea McGrattan, Pascale Allotey, Tin Tin Su, Nathorn Chaiyakunapruk, Narelle Warren and Matthew Prina and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Devi Mohan

50 papers receiving 687 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Devi Mohan Malaysia 14 250 142 119 93 83 56 697
Jana Prokein Germany 18 328 1.3× 117 0.8× 125 1.1× 181 1.9× 104 1.3× 29 970
Klaus Weckbecker Germany 15 116 0.5× 206 1.5× 125 1.1× 76 0.8× 129 1.6× 80 783
Konstanze Fendrich Germany 16 337 1.3× 181 1.3× 153 1.3× 131 1.4× 117 1.4× 24 909
Saskia Sivananthan Canada 11 205 0.8× 85 0.6× 181 1.5× 80 0.9× 32 0.4× 30 472
Zhenqiang Wu New Zealand 17 101 0.4× 77 0.5× 133 1.1× 78 0.8× 38 0.5× 71 1.1k
Kan Z. Gianattasio United States 10 263 1.1× 80 0.6× 132 1.1× 59 0.6× 59 0.7× 27 643
Alison Evans United Kingdom 11 159 0.6× 124 0.9× 87 0.7× 131 1.4× 84 1.0× 33 707
Anton Svendrovski Ireland 12 121 0.5× 195 1.4× 88 0.7× 233 2.5× 72 0.9× 39 730
Adolfo Valhuerdi Cuba 8 269 1.1× 112 0.8× 125 1.1× 125 1.3× 143 1.7× 9 678
Päivi Korhonen Finland 17 75 0.3× 98 0.7× 127 1.1× 114 1.2× 62 0.7× 79 758

Countries citing papers authored by Devi Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Devi Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devi Mohan

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

All Works

20 of 20 papers shown
2.
Trần, Anh Tuấn, Narelle Warren, Dương Minh Đức, et al.. (2025). Caregiver burden among dementia caregivers in low-and middle-income countries in Asia: a systematic review. Aging & Mental Health. 29(4). 578–590. 2 indexed citations
3.
Mohan, Devi, Mohd. Farooq Shaikh, Ching Soong Khoo, et al.. (2025). HMGB1 blood levels and neurological outcomes after traumatic brain injury: Insights from an exploratory study. Epilepsia Open. 10(2). 494–507.
4.
Stephan, Blossom C. M., Mario Siervo, Serena Sabatini, et al.. (2024). Models for Predicting Dementia Risk in Low‐ and Middle‐Income Countries. Alzheimer s & Dementia. 20(S7).
5.
Leong, Siew Lian, et al.. (2024). The needs and gaps in pharmacogenomics knowledge and education among healthcare professionals in Malaysia: A multisite Delphi study. Clinical and Translational Science. 17(11). e70057–e70057. 1 indexed citations
6.
Soh, Yee Chang, Tin Tin Su, Daniel D. Reidpath, et al.. (2024). Assessing Sodium Intake in Middle-Aged and Older Adults with Elevated Blood Pressure: Validation of Spot Urine Excretion and Dietary Survey-Derived Estimates. Nutrients. 16(10). 1461–1461. 2 indexed citations
7.
Sabatini, Serena, Devi Mohan, Eduwin Pakpahan, et al.. (2024). Dementia risk prediction modelling in low- and middle-income countries: current state of evidence. SHILAP Revista de lepidopterología. 4. 1397754–1397754. 3 indexed citations
8.
Niner, Sara, et al.. (2023). Evaluating the Extent of Participation of People Living With Dementia in Research. International Journal of Qualitative Methods. 22. 3 indexed citations
9.
Leong, Siew Lian, et al.. (2023). Effectiveness of pharmacogenomics educational interventions on healthcare professionals and health professions students: A systematic review. Research in Social and Administrative Pharmacy. 19(11). 1399–1411. 9 indexed citations
10.
Soh, Yee Chang, Andrea McGrattan, Shajahan Yasin, et al.. (2022). Protocol for a systematic review assessing the measurement of dietary sodium intake among adults with elevated blood pressure. BMJ Open. 12(1). e052175–e052175. 4 indexed citations
12.
Mohan, Devi, Andrea McGrattan, Pascale Allotey, et al.. (2022). The economic burden of dementia in low- and middle-income countries (LMICs): a systematic review. BMJ Global Health. 7(4). e007409–e007409. 78 indexed citations
14.
Schliemann, Désirée, Min Tan, Devi Mohan, et al.. (2022). mHealth Interventions to Improve Cancer Screening and Early Detection: Scoping Review of Reviews. Journal of Medical Internet Research. 24(8). e36316–e36316. 27 indexed citations
15.
Hasan, Mahmudul, et al.. (2022). Exploring the barriers to the antiretroviral therapy adherence among people living with HIV in Bangladesh: A qualitative approach. PLoS ONE. 17(10). e0276575–e0276575. 3 indexed citations
16.
McGrattan, Andrea, Blossom C. M. Stephan, Oliver M. Shannon, et al.. (2021). Independent and interactive associations of dietary nitrate and salt intake with blood pressure and cognitive function: a cross-sectional analysis in the InCHIANTI study. Australasian Journal of Paramedicine. 73(4). 491–502. 10 indexed citations
18.
McGrattan, Andrea, Daniel D. Reidpath, Hannah A. D. Keage, et al.. (2020). Nutritional interventions for the prevention of cognitive impairment and dementia in developing economies in East-Asia: a systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition. 62(7). 1838–1855. 13 indexed citations
19.
Mohan, Devi, Blossom C. M. Stephan, Pascale Allotey, et al.. (2017). Protocol of a feasibility study for cognitive assessment of an ageing cohort within the Southeast Asia Community Observatory (SEACO), Malaysia. BMJ Open. 7(1). e013635–e013635. 1 indexed citations
20.
Mohan, Devi, et al.. (2016). Infantile spasms: A prognostic evaluation. Annals of Indian Academy of Neurology. 19(2). 228–228. 12 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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