Sarah Mathai

804 citations
38 papers · 431 · h-index 9

Impact in

Papers in

Sarah Mathai

35 papers receiving 420 citations

Peers

Sarah Mathai
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 137
  • Pediatrics, Perinatology and Child Health 118
  • Obstetrics and Gynecology 23
  • Genetics 65
  • Surgery 91
Replace Nicolette J. T. Arends with:
Nicolette J. T. Arends Netherlands
Majid Aminzadeh Iran
Bedowra Zabeen Bangladesh
Elena Inzaghi Italy
Giulio Gilli Italy
Sani M. Roy United States
Ahlia Sekkarie United States
Jeerunda Santiprabhob Thailand
Badri N. Saxena India
Abdulmoein Eid Al-Agha Saudi Arabia
Sarah Mathai relative to Nicolette J. T. Arends Netherlands Nicolette J. T. Arends's profile →
Citations per field
00.5×1.5×2.3×
Nicolette J. T. Arends · 1×
Citations per year

Countries citing papers authored by Sarah Mathai

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Mathai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sarah Mathai, 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 Sarah Mathai Line = papers co-authored together Sarah Mathai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201489
2 201369
3 201251
4 201350
5 200830
6 202020
7 201320
8 201212
9 201911
10 20177
11 20217
12 20226
13 20216
14 20245
15 20225
16 20165
17 20195
18 20214
19 20224
20 20153

About Sarah Mathai

Sarah Mathai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Rheumatology, having authored 38 papers that have together received 431 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Birth, Development, and Health (5 papers), Thyroid Disorders and Treatments (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Hormonal and reproductive studies (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (137 citations), Pediatrics, Perinatology and Child Health (118 citations), Obstetrics and Gynecology (23 citations), Genetics (65 citations) and Surgery (91 citations). Sarah Mathai has collaborated with scholars based in India, New Zealand and United States. Frequent co-authors include Wayne S. Cutfield, Paul L. Hofman, Craig Jefferies, José G. B. Derraik, Janene B. Biggs, Stuart R. Dalziel, Jane E. Harding, Aaron Chapla, Elizabeth Robinson and Anna Simon. Their work appears in journals such as European Journal of Medical Genetics, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Clinical Endocrinology and BMC Pediatrics.

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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