Nadiah Sa’at

873 total citations · 1 hit paper
8 papers, 542 citations indexed

About

Nadiah Sa’at is a scholar working on Epidemiology, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Nadiah Sa’at has authored 8 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Statistics, Probability and Uncertainty and 2 papers in Statistics and Probability. Recurrent topics in Nadiah Sa’at's work include Meta-analysis and systematic reviews (2 papers), Statistical Methods in Clinical Trials (2 papers) and Urinary Tract Infections Management (1 paper). Nadiah Sa’at is often cited by papers focused on Meta-analysis and systematic reviews (2 papers), Statistical Methods in Clinical Trials (2 papers) and Urinary Tract Infections Management (1 paper). Nadiah Sa’at collaborates with scholars based in Malaysia, United States and Netherlands. Nadiah Sa’at's co-authors include Mohamad Adam Bujang, Tg Mohd Ikhwan Tg Abu Bakar Sidik, Chien Joo Lim, Yek‐Ching Kong, Nur Aishah Mohd Taib, Rozita Abdul Malik, Merel Kimman, Shridevi Subramaniam, Yin Ling Woo and Nirmala Bhoo‐Pathy and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Psycho-Oncology.

In The Last Decade

Nadiah Sa’at

7 papers receiving 530 citations

Hit Papers

Sample Size Guidelines for Logistic Regression from Obser... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadiah Sa’at Malaysia 5 89 88 78 70 62 8 542
Chien Joo Lim Singapore 8 88 1.0× 85 1.0× 69 0.9× 52 0.7× 91 1.5× 37 618
Maryam Marzban Iran 15 94 1.1× 86 1.0× 49 0.6× 73 1.0× 84 1.4× 56 592
Tg Mohd Ikhwan Tg Abu Bakar Sidik Malaysia 6 87 1.0× 87 1.0× 89 1.1× 53 0.8× 60 1.0× 10 527
Micah Hartwell United States 12 126 1.4× 76 0.9× 118 1.5× 77 1.1× 117 1.9× 161 695
Amy E. Hughes United States 14 113 1.3× 138 1.6× 68 0.9× 51 0.7× 46 0.7× 51 646
Hikari Ando United Kingdom 8 106 1.2× 109 1.2× 87 1.1× 84 1.2× 45 0.7× 13 523
Susan Law Canada 14 219 2.5× 93 1.1× 121 1.6× 54 0.8× 78 1.3× 56 901
Stefanie Bühn Germany 9 146 1.6× 48 0.5× 82 1.1× 67 1.0× 37 0.6× 29 568
Mehdi Mirzaei-Alavijeh Iran 14 144 1.6× 152 1.7× 71 0.9× 54 0.8× 144 2.3× 115 599
Elizabeth Orr Canada 12 125 1.4× 72 0.8× 71 0.9× 81 1.2× 64 1.0× 38 731

Countries citing papers authored by Nadiah Sa’at

Since Specialization
Citations

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

Fields of papers citing papers by Nadiah Sa’at

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadiah Sa’at. 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 Nadiah Sa’at. The network helps show where Nadiah Sa’at may publish in the future.

Co-authorship network of co-authors of Nadiah Sa’at

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

All Works

8 of 8 papers shown
1.
Sa’at, Nadiah, et al.. (2022). Factors Influencing Visual Improvement after Phacoemulsification Surgery among Malaysian Cataract Patients. International Journal of Environmental Research and Public Health. 19(18). 11485–11485. 3 indexed citations
2.
Bujang, Mohamad Adam, Nadiah Sa’at, & Tg Mohd Ikhwan Tg Abu Bakar Sidik. (2022). Determination of Minimum Sample Size Requirement for Multiple Linear Regression and Analysis of Covariance Based on Experimental and Non-experimental Studies. SHILAP Revista de lepidopterología. 14(3). 43 indexed citations
3.
Jalil, Rohana Abdul, et al.. (2021). Maternal Obesity and Its Associated Factors and Outcomes in Klang Valley, Malaysia: Finding from National Obstetric Registry. Malaysian Family Physician. 16(3). 56–67. 8 indexed citations
4.
Sa’at, Nadiah, et al.. (2020). Factors associated with ultrasound diagnosed neurogenic bladder complications following spinal cord injury.. Medical journal of Malaysia. 75(6). 642–648.
5.
Bujang, Mohamad Adam, Nadiah Sa’at, Tg Mohd Ikhwan Tg Abu Bakar Sidik, & Chien Joo Lim. (2018). Sample Size Guidelines for Logistic Regression from Observational Studies with Large Population: Emphasis on the Accuracy Between Statistics and Parameters Based on Real Life Clinical Data. Malaysian Journal of Medical Sciences. 25(4). 122–130. 431 indexed citations breakdown →
6.
Subramaniam, Shridevi, Yek‐Ching Kong, Karuthan Chinna, et al.. (2018). Health‐related quality of life and psychological distress among cancer survivors in a middle‐income country. Psycho-Oncology. 27(9). 2172–2179. 37 indexed citations
7.
Bujang, Mohamad Adam, et al.. (2015). An audit of the statistics and the comparison with the parameter in the population. AIP conference proceedings. 1682. 50019–50019. 16 indexed citations
8.
Haniff, Jamaiyah, et al.. (2014). Psychometric Properties of the Malay Work-Related Quality of Life (WRQoL) Scale in Malaysia. Swinburne Research Bank (Swinburne University of Technology). 1(1). 57–57. 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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