John Williams

1.8k citations
27 papers · 1.3k indexed · 1 hit paper · h-index 14

John Williams

27 papers receiving 1.2k citations

Hit Papers

Non-Invasive Chromosomal Evaluation (NICE) Study: results...20122026201620212012100200300400

Peers

John Williams
Comparison fields: 5 of 82
  • Pediatrics, Perinatology and Child Health 787
  • Epidemiology 292
  • Infectious Diseases 241
  • Genetics 236
  • Obstetrics and Gynecology 234
Replace Sevgi Tercanli with:
Sevgi Tercanli Switzerland
Simona Cardaropoli Italy
R. Terinde Germany
Wirawit Piyamongkol Thailand
Joaquín Santolaya-Forgas United States
Baruch Feldman Israel
Jérôme Massardier France
M S Golbus United States
Giovanni Botta Italy
Fulvio Borella Italy
John Williams relative to Sevgi Tercanli Switzerland Sevgi Tercanli's profile →
Citations per field
00.5×1.5×2.1×
Sevgi Tercanli · 1×
Citations per year

Countries citing papers authored by John Williams

Since Specialization
Citations

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

Fields of papers citing papers by John Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Williams

This figure shows the co-authorship network connecting the top 25 collaborators of John Williams. A scholar is included among the top collaborators of John Williams 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 John Williams. John Williams 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 1
2 5
3 48
4 52
5 4
6
First-trimester aneuploidy screening: is there a maternal age at which it loses effectiveness?
1
7 2
8 9
9
Non-Invasive Chromosomal Evaluation (NICE) Study: results of a multicenter prospective cohort study for detection of fetal trisomy 21 and trisomy 18breakdown →
424
10 15
11 13
12 15
13 44
14 75
15 1
16 43
17 16
18 318
19 23
20
Postnatal head shrinkage in small infants.
22

About John Williams

John Williams is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (19 papers), Pregnancy and preeclampsia studies (13 papers) and Assisted Reproductive Technology and Twin Pregnancy (9 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (787 citations), Obstetrics and Gynecology (234 citations) and Infectious Diseases (241 citations). John Williams has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Cecilia Avila, Moshe Mazor, Roberto Romero, Diane Copeland, Waldo Sepúlveda, Deborah Krakow, Margareta D. Pisarska, Michael E. Mitchell, Desiree Hollemon and Dick Oepkes. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and 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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