Sonia Baig

2.0k total citations
19 papers, 371 citations indexed

About

Sonia Baig is a scholar working on Epidemiology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sonia Baig has authored 19 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Genetics and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sonia Baig's work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Prenatal Screening and Diagnostics (4 papers) and Adipose Tissue and Metabolism (4 papers). Sonia Baig is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Prenatal Screening and Diagnostics (4 papers) and Adipose Tissue and Metabolism (4 papers). Sonia Baig collaborates with scholars based in Singapore, United States and United Kingdom. Sonia Baig's co-authors include Mahesh Choolani, Arijit Biswas, S Vasoo, Sue‐Anne Toh, Tze Ping Loh, Jaechul Lim, Markus R. Wenk, Lin Su, Aaron Z. Fernandis and Guanghou Shui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Sonia Baig

18 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Baig Singapore 11 154 148 91 90 61 19 371
Maria Schindler Germany 10 83 0.5× 86 0.6× 118 1.3× 37 0.4× 65 1.1× 20 320
Yiping Yu China 16 143 0.9× 58 0.4× 140 1.5× 87 1.0× 34 0.6× 43 601
Farzaneh Farajian‐Mashhadi Iran 13 64 0.4× 123 0.8× 68 0.7× 113 1.3× 22 0.4× 30 367
Cemil Akgül Türkiye 10 58 0.4× 112 0.8× 69 0.8× 137 1.5× 26 0.4× 18 379
M. Maggie United States 12 254 1.6× 48 0.3× 99 1.1× 36 0.4× 56 0.9× 14 606
Xueru Song China 13 103 0.7× 57 0.4× 45 0.5× 65 0.7× 13 0.2× 40 418
April Rees United Kingdom 6 65 0.4× 50 0.3× 28 0.3× 77 0.9× 31 0.5× 12 239
L. Myatt United States 7 55 0.4× 211 1.4× 169 1.9× 76 0.8× 73 1.2× 16 372
Raffael Ott Germany 12 93 0.6× 117 0.8× 102 1.1× 16 0.2× 71 1.2× 27 393
Qiaohong Lai China 11 149 1.0× 24 0.2× 57 0.6× 97 1.1× 33 0.5× 17 426

Countries citing papers authored by Sonia Baig

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Baig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Baig

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

All Works

19 of 19 papers shown
1.
Lee, Michelle H., Sonia Baig, Liang Shen, et al.. (2024). Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study. The Lancet Regional Health - Western Pacific. 54. 101278–101278. 1 indexed citations
2.
Lee, Michelle H., et al.. (2023). Asian females without diabetes are protected from obesity‐related dysregulation of glucose metabolism compared with males. Obesity. 31(9). 2304–2314. 1 indexed citations
3.
Baig, Sonia, You Yi Hwang, Michelle H. Lee, et al.. (2023). 204-OR: An Early Immune Signature in Prediabetes Can Predict Progression to Type 2 Diabetes. Diabetes. 72(Supplement_1). 1 indexed citations
4.
Magkos, Faidon, Michelle H. Lee, Alex R. Cook, et al.. (2021). Dynamic assessment of insulin secretion and insulin resistance in Asians with prediabetes. Metabolism. 128. 154957–154957. 24 indexed citations
5.
Baig, Sonia, Muhammad Shabeer, Ehsan Parvaresh Rizi, et al.. (2020). . SHILAP Revista de lepidopterología. 23 indexed citations
6.
Baig, Sonia, Muhammad Shabeer, Ehsan Parvaresh Rizi, et al.. (2020). Heredity of type 2 diabetes confers increased susceptibility to oxidative stress and inflammation. BMJ Open Diabetes Research & Care. 8(1). e000945–e000945. 1 indexed citations
7.
Rizi, Ehsan Parvaresh, Sonia Baig, Tze Ping Loh, et al.. (2019). Two-Hour Postprandial Lipoprotein Particle Concentration Differs Between Lean and Obese Individuals. Frontiers in Physiology. 10. 856–856. 11 indexed citations
8.
9.
Rizi, Ehsan Parvaresh, Tze Ping Loh, Sonia Baig, et al.. (2018). A high carbohydrate, but not fat or protein meal attenuates postprandial ghrelin, PYY and GLP-1 responses in Chinese men. PLoS ONE. 13(1). e0191609–e0191609. 37 indexed citations
10.
Baig, Sonia, Ehsan Parvaresh Rizi, Muhammad Shabeer, et al.. (2016). Metabolic gene expression profile in circulating mononuclear cells reflects obesity-associated metabolic inflexibility. Nutrition & Metabolism. 13(1). 74–74. 11 indexed citations
11.
Rizi, Ehsan Parvaresh, Sonia Baig, Muhammad Shabeer, et al.. (2016). Meal rich in carbohydrate, but not protein or fat, reveals adverse immunometabolic responses associated with obesity. Nutrition Journal. 15(1). 100–100. 13 indexed citations
12.
Baig, Sonia, J. Manikandan, Rong Li, et al.. (2014). Proteomic analysis of human placental syncytiotrophoblast microvesicles in preeclampsia. Clinical Proteomics. 11(1). 40–40. 87 indexed citations
13.
Baig, Sonia, Jaechul Lim, Aaron Z. Fernandis, et al.. (2013). Lipidomic analysis of human placental Syncytiotrophoblast microvesicles in adverse pregnancy outcomes. Placenta. 34(5). 436–442. 100 indexed citations
14.
Narasimhan, Kothandaraman, Terry Y.Y. Tong, Sonia Baig, et al.. (2013). Maternal serum protein profile and immune response protein subunits as markers for non‐invasive prenatal diagnosis of trisomy 21, 18, and 13. Prenatal Diagnosis. 33(3). 223–231. 16 indexed citations
15.
Baig, Sonia, Shirley S. Ho, Bee Ling Ng, et al.. (2010). Development of quantitative-fluorescence polymerase chain reaction for the rapid prenatal diagnosis of common chromosomal aneuploidies in 1,000 samples in Singapore.. PubMed. 51(4). 343–8. 7 indexed citations
16.
Chong, Samuel S., Evelyn S. C. Koay, Lily Chiu, et al.. (2009). Noninvasive prenatal exclusion of haemoglobin Bart's using foetal DNA from maternal plasma. Prenatal Diagnosis. 30(1). 65–73. 16 indexed citations
17.
Baig, Sonia, et al.. (2008). Refining quantitative fluorescent polymerase chain reaction for prenatal detection of X chromosomal anomalies in the major Southeast Asian populations.. PubMed. 49(12). 1025–8. 2 indexed citations
18.
Choolani, Mahesh, Shirley S. Ho, Khalil Razvi, et al.. (2007). FastFISH: technique for ultrarapid fluorescence in situ hybridization on uncultured amniocytes yielding results within 2 h of amniocentesis. Molecular Human Reproduction. 13(6). 355–359. 12 indexed citations
19.
Jaleel, Anila & Sonia Baig. (1999). Classification and criteria for diagnosis of diabetes mellitus: recent proposal.. PubMed. 49(8). 202–3.

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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