T. Dias

982 total citations
38 papers, 614 citations indexed

About

T. Dias is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, T. Dias has authored 38 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pediatrics, Perinatology and Child Health, 22 papers in Obstetrics and Gynecology and 7 papers in Surgery. Recurrent topics in T. Dias's work include Assisted Reproductive Technology and Twin Pregnancy (19 papers), Pregnancy and preeclampsia studies (18 papers) and Prenatal Screening and Diagnostics (15 papers). T. Dias is often cited by papers focused on Assisted Reproductive Technology and Twin Pregnancy (19 papers), Pregnancy and preeclampsia studies (18 papers) and Prenatal Screening and Diagnostics (15 papers). T. Dias collaborates with scholars based in United Kingdom, Sri Lanka and Singapore. T. Dias's co-authors include B. Thilaganathan, F. D’Antonio, A. Bhide, S. Mahsud‐Dornan, Asma Khalil, Aris T. Papageorghiou, T. Arcangeli, R. Napolitano, D. James Cooper and Hemantha Senanayake and has published in prestigious journals such as BJOG An International Journal of Obstetrics & Gynaecology, Ultrasound in Obstetrics and Gynecology and Frontiers in Endocrinology.

In The Last Decade

T. Dias

36 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Dias United Kingdom 14 566 357 200 61 27 38 614
Rita Sharshiner United States 7 405 0.7× 401 1.1× 291 1.5× 32 0.5× 31 1.1× 12 487
Antoine Abu Musa Lebanon 12 401 0.7× 431 1.2× 296 1.5× 44 0.7× 18 0.7× 22 579
Carlos Carreño United States 11 460 0.8× 424 1.2× 251 1.3× 111 1.8× 50 1.9× 23 635
Jill Mauldin United States 14 465 0.8× 386 1.1× 101 0.5× 41 0.7× 27 1.0× 27 551
Faheem Zayed Jordan 12 212 0.4× 144 0.4× 161 0.8× 46 0.8× 16 0.6× 31 372
Oshri Barel Israel 11 226 0.4× 258 0.7× 153 0.8× 63 1.0× 26 1.0× 31 405
Samina Dornan Ireland 6 405 0.7× 372 1.0× 227 1.1× 25 0.4× 8 0.3× 17 457
Victoria Belogolovkin United States 13 460 0.8× 506 1.4× 242 1.2× 90 1.5× 32 1.2× 26 632
Barbara Powers United States 12 271 0.5× 368 1.0× 249 1.2× 53 0.9× 12 0.4× 24 428
Ghada Ramadan United Kingdom 8 214 0.4× 278 0.8× 55 0.3× 55 0.9× 27 1.0× 16 352

Countries citing papers authored by T. Dias

Since Specialization
Citations

This map shows the geographic impact of T. Dias'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 T. Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dias more than expected).

Fields of papers citing papers by T. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Dias

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

All Works

20 of 20 papers shown
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Dias, T., et al.. (2019). Fetal Doppler reference values in women with a normal body mass index. Ceylon Medical Journal. 64(2). 59–59. 2 indexed citations
4.
Dias, T., et al.. (2017). Blood flow changes in pelvic vessels associated with the application of an abdominal compression belt in healthy postpartum women. Ceylon Medical Journal. 62(4). 228–228. 1 indexed citations
5.
Dias, T., et al.. (2017). Nutcracker syndrome in pregnancy: a worrying presentation of a benign condition.. Ceylon Medical Journal. 62(4). 238–238. 1 indexed citations
6.
D’Antonio, F., et al.. (2017). Influence of chorionicity and gestational age at single fetal loss on risk of preterm birth in twin pregnancy: analysis of STORK multiple pregnancy cohort. Ultrasound in Obstetrics and Gynecology. 50(6). 723–727. 21 indexed citations
7.
D’Antonio, F., Asma Khalil, T. Dias, & B. Thilaganathan. (2013). Weight discordance and perinatal mortality in twins: analysis of the Southwest Thames Obstetric Research Collaborative (STORK) multiple pregnancy cohort. Ultrasound in Obstetrics and Gynecology. 41(6). 643–648. 65 indexed citations
8.
D’Antonio, F., Asma Khalil, T. Dias, & B. Thilaganathan. (2013). Crown-rump length discordance and adverse perinatal outcome in twins: analysis of the Southwest Thames Obstetric Research Collaborative (STORK) multiple pregnancy cohort. Ultrasound in Obstetrics and Gynecology. 41(6). 621–626. 45 indexed citations
9.
Goonewardene, Malik & T. Dias. (2013). Antenatal care: paradigm changes over the years. Ceylon Medical Journal. 58(2). 47–47. 6 indexed citations
10.
Dias, T., et al.. (2013). Preterm delivery: current concepts. Sri Lanka Journal of Obstetrics and Gynaecology. 35(1). 22–22. 1 indexed citations
11.
Khalil, Asma, F. D’Antonio, T. Dias, D. James Cooper, & B. Thilaganathan. (2013). Ultrasound estimation of birth weight in twin pregnancy: comparison of biometry algorithms in the STORK multiple pregnancy cohort. Ultrasound in Obstetrics and Gynecology. 44(2). 210–220. 40 indexed citations
12.
D’Antonio, F., Asma Khalil, T. Dias, & B. Thilaganathan. (2012). Early fetal loss in monochorionic and dichorionic twin pregnancies: analysis of the Southwest Thames Obstetric Research Collaborative (STORK) multiple pregnancy cohort. Ultrasound in Obstetrics and Gynecology. 41(6). 632–636. 45 indexed citations
13.
D’Antonio, F., T. Dias, & B. Thilaganathan. (2012). Does antenatal ultrasound labeling predict birth order in twin pregnancies?. Ultrasound in Obstetrics and Gynecology. 41(3). 274–277. 6 indexed citations
14.
Dias, T., T. Arcangeli, A. Bhide, et al.. (2011). First‐trimester ultrasound determination of chorionicity in twin pregnancy. Ultrasound in Obstetrics and Gynecology. 38(5). 530–532. 61 indexed citations
15.
Dias, T., E. Contro, B. Thilaganathan, et al.. (2011). Pregnancy Outcome of Monochorionic Twins: Does Amnionicity Matter?. Twin Research and Human Genetics. 14(6). 586–592. 15 indexed citations
16.
Dias, T., S. Ladd, S. Mahsud‐Dornan, et al.. (2011). Systematic labeling of twin pregnancies on ultrasound. Ultrasound in Obstetrics and Gynecology. 38(2). 130–133. 29 indexed citations
17.
Dias, T., A. Bhide, & B. Thilaganathan. (2010). Early pregnancy growth and pregnancy outcome in twin pregnancies. Ceylon Medical Journal. 55(3). 80–80. 12 indexed citations
18.
Dias, T., S. Mahsud‐Dornan, B. Thilaganathan, Aris T. Papageorghiou, & A. Bhide. (2010). First‐trimester ultrasound dating of twin pregnancy: are singleton charts reliable?. BJOG An International Journal of Obstetrics & Gynaecology. 117(8). 979–984. 41 indexed citations
19.
Dias, T., S. Mahsud‐Dornan, A. Bhide, Aris T. Papageorghiou, & B. Thilaganathan. (2010). Cord entanglement and perinatal outcome in monoamniotic twin pregnancies. Ultrasound in Obstetrics and Gynecology. 35(2). 201–204. 86 indexed citations
20.
Dias, T., T. Arcangeli, A. Bhide, et al.. (2010). Second‐trimester assessment of gestational age in twins: validation of singleton biometry charts. Ultrasound in Obstetrics and Gynecology. 37(1). 34–37. 14 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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