Sonia Baig

34 total papers · 2.0k total citations
19 papers, 369 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 369 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), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Prenatal Screening and Diagnostics (4 papers). Sonia Baig is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Prenatal Screening and Diagnostics (4 papers). Sonia Baig collaborates with scholars based in Singapore, United States and United Kingdom. Sonia Baig's co-authors include Arijit Biswas, Mahesh Choolani, S Vasoo, Sue‐Anne Toh, Lin Su, Tze Ping Loh, Ehsan Parvaresh Rizi, Jaechul Lim, Markus R. Wenk 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 361 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sonia Baig	154	148	91	90	60	19	369
Jesús M. López Martí	109 0.7×	61 0.4×	54 0.6×	66 0.7×	71 1.2×	16	364
Bethan L. Clifford	102 0.7×	56 0.4×	78 0.9×	51 0.6×	55 0.9×	15	334
Xiaojing Zhang	105 0.7×	165 1.1×	106 1.2×	42 0.5×	78 1.3×	19	408
Ayelén Toro	82 0.5×	142 1.0×	105 1.2×	76 0.8×	59 1.0×	21	399
Aslı Özmen	104 0.7×	182 1.2×	125 1.4×	79 0.9×	16 0.3×	31	407
Karol Charkiewicz	102 0.7×	139 0.9×	112 1.2×	62 0.7×	35 0.6×	21	346
Cemil Akgül	57 0.4×	112 0.8×	69 0.8×	137 1.5×	27 0.5×	18	375
Farzaneh Farajian‐Mashhadi	63 0.4×	123 0.8×	68 0.7×	115 1.3×	22 0.4×	29	366
Jackson Nteeba	81 0.5×	67 0.5×	107 1.2×	35 0.4×	55 0.9×	11	373
Takahiro Minato	80 0.5×	77 0.5×	72 0.8×	147 1.6×	28 0.5×	15	406

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

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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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