Ken Song

2.2k citations
11 papers · 1.6k indexed · 1 hit paper · h-index 10

Impact in

Papers in

Ken Song

11 papers receiving 1.5k citations

Hit Papers

Non-Invasive Chromosomal Evaluation (NICE) Study: results of a multicenter prospective cohort study for detection of fetal trisomy 21 and trisomy 18 2012 · 424 citations
4242012202620162021100200300400

Peers

Ken Song
Comparison fields: 5 of 50
  • Pediatrics, Perinatology and Child Health 1.5k
  • Infectious Diseases 708
  • Cancer Research 228
  • Genetics 334
  • Obstetrics and Gynecology 75
Replace Herb Brar with:
Herb Brar United States
M.S. Quezada Spain
Sucheta Bhatt United States
R. Revello Spain
Ageliki Gerovassili United Kingdom
Patricia Devers United States
Kirstin Finning United Kingdom
Tracy Prosen United States
Frederik Banch Clausen Denmark
Moniek Twisk Netherlands
Ken Song relative to Herb Brar United States Herb Brar's profile →
Citations per field
00.5×1.6×
Herb Brar · 1×
Citations per year

Countries citing papers authored by Ken Song

Since Specialization
Citations

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

Fields of papers citing papers by Ken Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20202
2 201548
3 201339
4 2013302
5 201395
6 201376
7 201348
8 2012208
9
Non-Invasive Chromosomal Evaluation (NICE) Study: results of a multicenter prospective cohort study for detection of fetal trisomy 21 and trisomy 18
Hit paper breakdown →
2012424
10 201257
11 2012322

About Ken Song

Ken Song is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (10 papers), Parvovirus B19 Infection Studies (7 papers), Fetal and Pediatric Neurological Disorders (5 papers), Cancer Genomics and Diagnostics (2 papers), Renal and related cancers (2 papers), Congenital Anomalies and Fetal Surgery (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.5k citations), Infectious Diseases (708 citations), Cancer Research (228 citations), Genetics (334 citations) and Obstetrics and Gynecology (75 citations). Ken Song has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Arnold Oliphant, Craig A. Struble, Thomas J. Musci, Andrew B. Sparks, Eric T. Wang, Annette Batey, Aaron B. Caughey, Eric Wang, Michael E. Mitchell and Desiree Hollemon. Their work appears in journals such as Prenatal Diagnosis, Fetal Diagnosis and Therapy, The Journal of Maternal-Fetal & Neonatal Medicine, American Journal of Obstetrics and Gynecology and Journal of Hepatology.

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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