Stephen Tong

8.9k citations
274 papers · 6.0k indexed · 3 hit papers · h-index 41

Impact in

Papers in

Stephen Tong

257 papers receiving 5.9k citations

Hit Papers

Prevalence of Perinatal Depression in Low- and Middle-Income Countries 2023 · 106 citations
1062021202620222024100200300400500

Peers

Stephen Tong
Comparison fields: 5 of 132
  • Obstetrics and Gynecology 4.0k
  • Pediatrics, Perinatology and Child Health 3.2k
  • Immunology 1.5k
  • Cancer Research 678
  • Public Health, Environmental and Occupational Health 1.1k
Replace Shaun P. Brennecke with:
Shaun P. Brennecke Australia
Nándor Gábor Than United States
Robert W. Powers United States
Satoru Takeda Japan
Naohiro Kanayama Japan
Takeshi Maruo Japan
Ariel Many Israel
Uwe Lang Austria
Tao Duan China
Frank Louwen Germany
Stephen Tong relative to Shaun P. Brennecke Australia Shaun P. Brennecke's profile →
Citations per field
00.5×1.5×2.4×
Shaun P. Brennecke · 1×
Citations per year

Countries citing papers authored by Stephen Tong

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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The New Generation Antiplatelet Agent Prasugrel Represents an Exciting Novel Candidate Therapy for Preeclampsia.
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About Stephen Tong

Stephen Tong is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 274 papers that have together received 6.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (189 papers), Birth, Development, and Health (108 papers), Reproductive System and Pregnancy (68 papers), Gestational Diabetes Research and Management (32 papers), Ectopic Pregnancy Diagnosis and Management (30 papers), Prenatal Screening and Diagnostics (29 papers), Maternal and fetal healthcare (26 papers) and Neonatal Respiratory Health Research (22 papers). The work is most often cited by research in Obstetrics and Gynecology (4.0k citations), Pediatrics, Perinatology and Child Health (3.2k citations), Immunology (1.5k citations), Cancer Research (678 citations) and Public Health, Environmental and Occupational Health (1.1k citations). Stephen Tong has collaborated with scholars based in Australia, United Kingdom and South Africa. Frequent co-authors include Tu’uhevaha J. Kaitu’u‐Lino, Natalie J. Hannan, Susan Walker, Catherine Cluver, Roxanne Hastie, Fiona Brownfoot, John‏ Kingdom, Lucy C. Chappell, Clare Whitehead and Kirsten R. Palmer. Their work appears in journals such as Placenta, Pregnancy Hypertension, PLoS ONE, American Journal of Obstetrics and Gynecology and BMC Medicine.

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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