Mohy Uddin

914 total citations · 1 hit paper
24 papers, 437 citations indexed

About

Mohy Uddin is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Mohy Uddin has authored 24 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 5 papers in General Health Professions and 4 papers in Artificial Intelligence. Recurrent topics in Mohy Uddin's work include Dialysis and Renal Disease Management (2 papers), Cancer Genomics and Diagnostics (2 papers) and COVID-19 diagnosis using AI (2 papers). Mohy Uddin is often cited by papers focused on Dialysis and Renal Disease Management (2 papers), Cancer Genomics and Diagnostics (2 papers) and COVID-19 diagnosis using AI (2 papers). Mohy Uddin collaborates with scholars based in Saudi Arabia, Taiwan and India. Mohy Uddin's co-authors include Shabbir Syed-Abdul, Margriet Pol, Mohamed-Amine Choukou, Caroline Monnin, Diana C. Sanchez‐Ramirez, Eshita Dhar, Aldilas Achmad Nursetyo, Ali Jasem Buabbas, Adel K. Ayed and Erik Dovgan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Nutrients.

In The Last Decade

Mohy Uddin

23 papers receiving 416 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.

COVID-19 infodemic and digital health literacy in vulnerable populations: A scoping review

2022 111 citations Mohamed-Amine Choukou, Diana C. Sanchez‐Ramirez et al. Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohy Uddin Saudi Arabia	10	78	76	76	70	53	24	437
Francesco Sanmarchi Italy	13	83 1.1×	50 0.7×	97 1.3×	54 0.8×	35 0.7×	48	515
Francesc X Marín-Gomez Spain	13	66 0.8×	58 0.8×	84 1.1×	43 0.6×	33 0.6×	22	299
Khadijeh Moulaei Iran	14	123 1.6×	71 0.9×	92 1.2×	93 1.3×	112 2.1×	68	615
Anirudh Thommandram Canada	8	98 1.3×	72 0.9×	30 0.4×	147 2.1×	39 0.7×	14	403
Diane M. Korngiebel United States	12	198 2.5×	98 1.3×	209 2.8×	79 1.1×	49 0.9×	24	586
Caroline de Cock United Kingdom	8	286 3.7×	126 1.7×	90 1.2×	135 1.9×	42 0.8×	14	688
Shahabeddin Abhari Iran	8	93 1.2×	37 0.5×	82 1.1×	39 0.6×	24 0.5×	29	459
H Aylin Sapci United States	8	117 1.5×	144 1.9×	158 2.1×	68 1.0×	80 1.5×	8	517
Cambray Smith United States	10	154 2.0×	180 2.4×	168 2.2×	48 0.7×	50 0.9×	26	560
Seyyedeh Fatemeh Mousavi Baigi Iran	11	44 0.6×	122 1.6×	80 1.1×	47 0.7×	74 1.4×	35	371

Countries citing papers authored by Mohy Uddin

Since Specialization

Citations

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

Fields of papers citing papers by Mohy Uddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohy Uddin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Uddin, Mohy, et al.. (2025). Engaging with patients with diabetes: the role of social media in low-income healthcare organisations. BMJ Health & Care Informatics. 32(1). e101193–e101193. 1 indexed citations

Uddin, Mohy, et al.. (2024). A nationwide cross-sectional study in Saudi Arabia for the assessment of understanding and practices of clinicians towards personalized genetic testing. Scientific Reports. 14(1). 31748–31748.

Uddin, Mohy, et al.. (2024). A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainability. Critical Care. 28(1). 180–180. 25 indexed citations

Uddin, Mohy, Krishnan Ganapathy, & Shabbir Syed-Abdul. (2024). Digital Technology Enablers of Tele-Neurorehabilitation in Pre- and Post-COVID-19 Pandemic Era – A Scoping Review. International Journal of Telerehabilitation. 16(1). e6611–e6611. 2 indexed citations

Uddin, Mohy, et al.. (2024). Using machine learning models for predicting monthly iPTH levels in hemodialysis patients. Computer Methods and Programs in Biomedicine. 260. 108541–108541. 1 indexed citations

Dhar, Eshita, Irene Alice Chicchi Giglioli, Luis Fernández-Luque, et al.. (2023). A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management. Cancers. 15(6). 1775–1775. 8 indexed citations

Dhar, Eshita, et al.. (2023). Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information. Cancers. 15(8). 2232–2232. 9 indexed citations

Uddin, Mohy, Jeremiah Scholl, Wen‐Shan Jian, et al.. (2023). Incidence and Mortality of Malignant Brain Tumors after 20 Years of Mobile Use. Cancers. 15(13). 3492–3492. 3 indexed citations

Buabbas, Ali Jasem, et al.. (2023). Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare. 11(9). 1298–1298. 66 indexed citations

10.

Dhar, Eshita, Mohy Uddin, George Manias, et al.. (2023). A scoping review to assess the effects of virtual reality in medical education and clinical care. Digital Health. 9. 589801734–589801734. 62 indexed citations

11.

Uddin, Mohy, et al.. (2022). A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients. Medicina. 58(11). 1568–1568. 7 indexed citations

12.

Choukou, Mohamed-Amine, Diana C. Sanchez‐Ramirez, Margriet Pol, et al.. (2022). COVID-19 infodemic and digital health literacy in vulnerable populations: A scoping review. Digital Health. 8. 2282129873–2282129873. 111 indexed citations breakdown →

13.

Kabir, Muhammad Ashad, et al.. (2022). Exploring the Potential Use of Wearable Devices as a Prognostic Tool among Patients in Hospice Care. Medicina. 58(12). 1824–1824. 3 indexed citations

14.

Uddin, Mohy, Shwetambara Malwade, Eshita Dhar, et al.. (2022). Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia. Healthcare. 10(2). 204–204. 4 indexed citations

15.

Uddin, Mohy, et al.. (2022). Prevalence of obesity in treated and untreated patients with attention deficit hyperactivity disorder. Saudi Medical Journal. 43(8). 873–880. 1 indexed citations

16.

Syed-Abdul, Shabbir, Hee‐Jung Chung, Mohy Uddin, et al.. (2020). Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data. Scientific Reports. 10(1). 4583–4583. 25 indexed citations

17.

Dovgan, Erik, Anton Gradišek, Mitja Luštrek, et al.. (2020). Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients. PLoS ONE. 15(6). e0233976–e0233976. 39 indexed citations

18.

Nursetyo, Aldilas Achmad, Shabbir Syed-Abdul, Mohy Uddin, & Yu‐Chuan Li. (2019). Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis. Studies in health technology and informatics. 264. 10–14. 11 indexed citations

19.

Uddin, Mohy, Jung‐Su Chang, Hamam Hadi, et al.. (2018). Roles of Sedentary Behaviors and Unhealthy Foods in Increasing the Obesity Risk in Adult Men and Women: A Cross-Sectional National Study. Nutrients. 10(6). 704–704. 35 indexed citations

20.

Dai, Hong-Jie, et al.. (2017). Exploring associations of clinical and social parameters with violent behaviors among psychiatric patients. Journal of Biomedical Informatics. 75. S149–S159. 4 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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