Mohammad Muhit

3.2k total citations
96 papers, 2.1k citations indexed

About

Mohammad Muhit is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Clinical Psychology. According to data from OpenAlex, Mohammad Muhit has authored 96 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Psychiatry and Mental health, 47 papers in Pediatrics, Perinatology and Child Health and 43 papers in Clinical Psychology. Recurrent topics in Mohammad Muhit's work include Cerebral Palsy and Movement Disorders (47 papers), Infant Development and Preterm Care (35 papers) and Family and Disability Support Research (35 papers). Mohammad Muhit is often cited by papers focused on Cerebral Palsy and Movement Disorders (47 papers), Infant Development and Preterm Care (35 papers) and Family and Disability Support Research (35 papers). Mohammad Muhit collaborates with scholars based in Australia, Bangladesh and United Kingdom. Mohammad Muhit's co-authors include Gulam Khandaker, Nadia Badawi, Clare Gilbert, Tasneem Karim, Israt Jahan, Hayley Smithers‐Sheedy, Allen Foster, Cheryl Jones, Sally Hartley and Mohammed A. Mamun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrients.

In The Last Decade

Mohammad Muhit

90 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Muhit Australia 26 986 830 804 325 268 96 2.1k
Sally Hartley United Kingdom 24 618 0.6× 427 0.5× 469 0.6× 121 0.4× 42 0.2× 61 1.5k
Anthony J. Alario United States 21 421 0.4× 587 0.7× 124 0.2× 254 0.8× 33 0.1× 46 1.9k
Lennart Köhler Sweden 18 172 0.2× 293 0.4× 84 0.1× 201 0.6× 63 0.2× 68 1.3k
R. Kim Oates Australia 30 1.4k 1.4× 471 0.6× 202 0.3× 373 1.1× 26 0.1× 96 2.6k
Nicola Spurrier Australia 20 231 0.2× 282 0.3× 139 0.2× 99 0.3× 29 0.1× 46 1.3k
Raghu Lingam Australia 27 580 0.6× 1.1k 1.3× 509 0.6× 456 1.4× 11 0.0× 158 2.8k
J Wardle United Kingdom 21 660 0.7× 228 0.3× 288 0.4× 233 0.7× 32 0.1× 32 2.9k
Naila Zaman Khan Bangladesh 29 391 0.4× 1.1k 1.3× 389 0.5× 159 0.5× 33 0.1× 73 1.9k
Gillian Lewando Hundt United Kingdom 18 181 0.2× 212 0.3× 108 0.1× 269 0.8× 23 0.1× 49 1.1k
Cameron Stark United Kingdom 22 580 0.6× 94 0.1× 156 0.2× 125 0.4× 55 0.2× 82 1.2k

Countries citing papers authored by Mohammad Muhit

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Muhit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Muhit

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Muhit. A scholar is included among the top collaborators of Mohammad Muhit 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 Mohammad Muhit. Mohammad Muhit 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
1.
3.
Al‐Mamun, Firoj, et al.. (2025). Lifetime and past-year suicidal behaviors among adolescents in Bangladesh: A two-stage stratified cluster sampling study. Cambridge Prisms Global Mental Health. 12. e24–e24. 1 indexed citations
4.
Jahan, Israt, Md Nuruzzaman Khan, Mahmudul Hassan Al Imam, et al.. (2024). The mPower (Mother’s Power) Initiative: Improving Health Behavior Through Peer Support and Health Literacy for Mothers of Children with Cerebral Palsy in Rural Bangladesh. Children. 11(12). 1438–1438. 1 indexed citations
6.
Jahan, Israt, Mohammad Muhit, Hayley Smithers‐Sheedy, et al.. (2024). Epidemiology of cerebral palsy among children in Ghana. African Journal of Disability. 13. 1336–1336. 1 indexed citations
7.
Mamun, Mohammed A., et al.. (2024). Predicting Suicidal Behaviors in Individuals With Diabetes Using Machine Learning Techniques. Perspectives In Psychiatric Care. 2024(1). 1 indexed citations
8.
Al‐Mamun, Firoj, et al.. (2024). Prevalence of emotional and behavioral problems among adolescents in Bangladesh. Social Psychiatry and Psychiatric Epidemiology. 59(12). 2215–2225. 3 indexed citations
9.
Muhit, Mohammad, et al.. (2023). Associated Impairments among Children with Cerebral Palsy in Rural Bangladesh—Findings from the Bangladesh Cerebral Palsy Register. Journal of Clinical Medicine. 12(4). 1597–1597. 7 indexed citations
10.
Jahan, Israt, Eduardo Cuestas, Sarah McIntyre, et al.. (2023). Latin American Cerebral Palsy Register (LATAM-CPR): study protocol to develop a collaborative register with surveillance of children with cerebral palsy in Latin American countries. BMJ Open. 13(12). e071315–e071315. 2 indexed citations
11.
Jahan, Israt, et al.. (2022). Novel weight estimation equation for children with cerebral palsy in low‐resource settings: Validation in a population‐based cohort. Developmental Medicine & Child Neurology. 65(4). 517–525. 1 indexed citations
12.
Karim, Tasneem, Manik Chandra Das, Mohammad Muhit, et al.. (2022). Improving epilepsy control among children with cerebral palsy in rural Bangladesh: a prospective cohort-based study. BMJ Open. 12(4). e052578–e052578. 6 indexed citations
13.
Imam, Mahmudul Hassan Al, Israt Jahan, Manik Chandra Das, et al.. (2021). Population‐based surveillance of children with cerebral palsy enables early diagnosis and intervention. Developmental Medicine & Child Neurology. 63(7). 883–884. 9 indexed citations
14.
Imam, Mahmudul Hassan Al, et al.. (2020). Sensory Acceptability of Dual-Fortified Milled Red and Yellow Lentil (Lens culinaris Medik.) Dal in Bangladesh. Foods. 9(8). 992–992. 10 indexed citations
15.
Jahan, Israt, Mahmudul Hassan Al Imam, Tasneem Karim, et al.. (2020). Epidemiology of cerebral palsy in Sumba Island, Indonesia. Developmental Medicine & Child Neurology. 62(12). 1414–1422. 23 indexed citations
16.
Mamun, Mohammed A., Tahmina Akter, Najmuj Sakib, et al.. (2020). Prevalence and risk factors of COVID-19 suicidal behavior in Bangladeshi population: are healthcare professionals at greater risk?. Heliyon. 6(10). e05259–e05259. 36 indexed citations
17.
Jahan, Israt, Tasneem Karim, Mahmudul Hassan Al Imam, et al.. (2019). Childhood Disability and Nutrition: Findings from a Population-Based Case Control Study in Rural Bangladesh. Nutrients. 11(11). 2728–2728. 13 indexed citations
18.
Khandaker, Gulam, Mohammad Muhit, Tasneem Karim, et al.. (2018). Epidemiology of cerebral palsy in Bangladesh: a population‐based surveillance study. Developmental Medicine & Child Neurology. 61(5). 601–609. 123 indexed citations
19.
Akhter, Rahena, Nur Mohammad Monsur Hassan, Mohammad Muhit, et al.. (2016). Risk factors for dental caries among children with cerebral palsy in a low‐resource setting. Developmental Medicine & Child Neurology. 59(5). 538–543. 28 indexed citations
20.
Gilbert, Clare & Mohammad Muhit. (2008). Twenty years of childhood blindness: what have we learnt?. SHILAP Revista de lepidopterología. 2 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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