Sonia Baig

2.0k citations
19 papers · 371 · h-index 11

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 5
    • Liver Disease Diagnosis and Treatment 3
    • Diabetes and associated disorders 4

Sonia Baig

18 papers receiving 363 citations

Peers

Sonia Baig
Comparison fields: 5 of 66
  • Obstetrics and Gynecology 148
  • Pediatrics, Perinatology and Child Health 91
  • Immunology 90
  • Cancer Research 41
  • Endocrinology, Diabetes and Metabolism 45
Replace Maria Schindler with:
Maria Schindler Germany
Cemil Akgül Türkiye
Yiping Yu China
Farzaneh Farajian‐Mashhadi Iran
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M. Maggie United States
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Sonia Baig relative to Maria Schindler Germany Maria Schindler's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Sonia Baig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sonia Baig Line = papers co-authored together Sonia Baig links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013100
2 201487
3 201837
4 202124
5
202023
6 200916
7 201316
8 201613
9 200712
10 201611
11 201911
12 20198
13
Development of quantitative-fluorescence polymerase chain reaction for the rapid prenatal diagnosis of common chromosomal aneuploidies in 1,000 samples in Singapore.
20107
14
Refining quantitative fluorescent polymerase chain reaction for prenatal detection of X chromosomal anomalies in the major Southeast Asian populations.
20082
15 20241
16 20231
17 20231
18 20201
19
Classification and criteria for diagnosis of diabetes mellitus: recent proposal.
19990

About Sonia Baig

Sonia Baig is a scholar working on Epidemiology, Genetics, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 19 papers that have together received 371 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Prenatal Screening and Diagnostics (4 papers), Adipose Tissue and Metabolism (4 papers), Diabetes and associated disorders (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Diet and metabolism studies (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Obstetrics and Gynecology (148 citations), Pediatrics, Perinatology and Child Health (91 citations), Immunology (90 citations), Cancer Research (41 citations) and Endocrinology, Diabetes and Metabolism (45 citations). Sonia Baig has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Arijit Biswas, Mahesh Choolani, S Vasoo, Sue‐Anne Toh, Tze Ping Loh, Ehsan Parvaresh Rizi, Guanghou Shui, Jaechul Lim, Markus R. Wenk and Lin Su. Their work appears in journals such as Prenatal Diagnosis, Molecular Human Reproduction, Placenta, Nutrition & Metabolism and Diabetes.

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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