Neil Hamill

14 papers receiving 378 citations

Peers

Neil Hamill
Comparison fields: 5 of 38
  • Obstetrics and Gynecology 152
  • Epidemiology 286
  • Pediatrics, Perinatology and Child Health 104
  • Public Health, Environmental and Occupational Health 129
  • Immunology 73
Replace А. В. Михайлов with:
А. В. Михайлов Russia
Vishal Pandey United States
Aarthi Mohan United Kingdom
Katherine Bianco United States
Daisuke Tachibana Japan
Crina Boeras United States
M.D. Salazar Garcia United States
Rangeen Rafik Hamad Sweden
Phudit Jatavan Thailand
A. Tempesta Italy
Neil Hamill relative to А. В. Михайлов Russia А. В. Михайлов's profile →
Citations per field
00.5×2.8×
А. В. Михайлов · 1×
Citations per year

Countries citing papers authored by Neil Hamill

Since Specialization
Citations

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

Fields of papers citing papers by Neil Hamill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200899
2 201165
3 200865
4 200856
5 200828
6 200924
7 200319
8 200712
9 20128
10 20083
11 20033
12 20072
13 20082
14 20231

About Neil Hamill

Neil Hamill is a scholar working on Epidemiology, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 387 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (5 papers), Pregnancy and preeclampsia studies (5 papers), Preterm Birth and Chorioamnionitis (4 papers), Neonatal Respiratory Health Research (3 papers), Gestational Trophoblastic Disease Studies (2 papers), Neonatal and fetal brain pathology (2 papers), Diabetes Management and Research (1 paper) and Teratomas and Epidermoid Cysts (1 paper). The work is most often cited by research in Obstetrics and Gynecology (152 citations), Epidemiology (286 citations), Pediatrics, Perinatology and Child Health (104 citations), Public Health, Environmental and Occupational Health (129 citations) and Immunology (73 citations). Neil Hamill has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Francesca Gotsch, Pooja Mittal, Roberto Romero, Juan Pedro Kusanovic, Edi Vaisbuch, Jimmy Espinoza, Sonia S. Hassan, Tinnakorn Chaiworapongsa, Shali Mazaki‐Tovi and Offer Erez. Their work appears in journals such as Journal of Ultrasound in Medicine, American Journal of Obstetrics and Gynecology, Journal of Perinatal Medicine, Obstetrics and Gynecology and The Journal of Maternal-Fetal & Neonatal 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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