T. Y. T. Tan

17 papers receiving 307 citations

Peers

T. Y. T. Tan
Comparison fields: 5 of 44
  • Pediatrics, Perinatology and Child Health 285
  • Obstetrics and Gynecology 177
  • Public Health, Environmental and Occupational Health 63
  • Surgery 33
  • Genetics 27
Replace Natalia Prodan with:
Natalia Prodan Germany
Iosifina Stergiotou Spain
Ivilina Pandeva United Kingdom
Ewelina Litwińska Poland
Yoni Barnhard United States
J. Carrillo Chile
E. Aiello Italy
Jae-Hyug Yang South Korea
S. Mahsud‐Dornan United Kingdom
H. Laurichesse‐Delmas France
T. Y. T. Tan relative to Natalia Prodan Germany Natalia Prodan's profile →
Citations per field
00.5×1.5×1.9×
Natalia Prodan · 1×
Citations per year

Countries citing papers authored by T. Y. T. Tan

Since Specialization
Citations

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

Fields of papers citing papers by T. Y. T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Y. T. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Y. T. Tan. A scholar is included among the top collaborators of T. Y. T. Tan 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. Y. T. Tan. T. Y. T. Tan 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
#WorkIndexed citations
1 2
2 0
3 0
4
Prenatal diagnosis of cri-du-chat syndrome: importance of ultrasonographical markers.
17
5
Down syndrome in monochorionic twins.
1
6
Intestinal atresia of co-twin after spontaneous cessation of blood flow through an acardiac twin.
0
7
Non-surgical interventions for threatened and recurrent miscarriages.
16
8 40
9 5
10 40
11
Outcomes of twin-twin transfusion syndrome managed by a specialised twin clinic.
3
12 37
13 2
14 2
15 127
16 28
17 1
18 1
19 4
20 6

About T. Y. T. Tan

T. Y. T. Tan is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 332 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (9 papers), Prenatal Screening and Diagnostics (8 papers) and Pregnancy and preeclampsia studies (7 papers). The work is most often cited by research in Obstetrics and Gynecology (177 citations), Pediatrics, Perinatology and Child Health (285 citations) and Public Health, Environmental and Occupational Health (63 citations). T. Y. T. Tan has collaborated with scholars based in Singapore, United Kingdom and Australia. Frequent co-authors include Waldo Sepúlveda, Nicholas M. Fisk, L. Wee, T. Vanderheyden, C. Tien, Lucia Pasquini, P. Cox, Myles Taylor, T. Frusca and M.L. Denbow. Their work appears in journals such as CHEST Journal, Obstetrics and Gynecology and Ultrasound in Obstetrics and Gynecology.

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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