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Researcher · Genomic Prediction (United States) · United States

Jennifer Eccles

Jennifer Eccles publishes mostly in Pediatrics, Perinatology and Child Health, Genetics and Public Health, Environmental and Occupational Health, on topics such as Prenatal Screening and Diagnostics, Assisted Reproductive Technology and Twin Pregnancy and Genetic Associations and Epidemiology.

ORCID 0000-0002-9012-1871 OpenAlex
World rank
#2,314,416
of 7,710,434 ranked researchers
Rank in United States
#689,779
of 1,627,098
Works
20
Citations
513
Citations per work
25.7
h-index
7
i10-index 7Top 62% in Pediatrics, Perinatology and Child Health
Jennifer Eccles

What does Jennifer Eccles research?

Jennifer Eccles's work is mostly in Medicine (39%), Biochemistry, Genetics and Molecular Biology (18%), Computer Science (4%).

Health Sciences: 8 works · 39.2% of their workMedicine: 8 works · 39.2% of their workPediatrics, Perinatology and Child Health: 6 works · 31.4% of their workObstetrics and Gynecology: 1 works · 3.9% of their workPublic Health, Environmental and Occupational Health: 1 works · 3.9% of their workEverything else: 7 works · 35.4% of their workLife Sciences: 4 works · 17.6% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 17.6% of their workGenetics: 4 works · 17.6% of their workPhysical Sciences: 2 works · 7.8% of their workComputer Science: 1 works · 3.9% of their workArtificial Intelligence: 1 works · 3.9% of their workEngineering: 1 works · 3.9% of their workCivil and Structural Engineering: 1 works · 3.9% of their workTHEIR WORKJennifer Eccles20works
Life Sciences18%Physical Sciences8%Health Sciences39%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine839.2%
  2. Everything else735.4%
    1. Biochemistry, Genetics and Molecular Biology417.6%
    1. Computer Science13.9%
    2. Engineering13.9%
  1. 1Pediatrics, Perinatology and Child Health31% of their works
  2. 2Genetics18% of their works
  3. 3Public Health, Environmental and Occupational Health4% of their works
  4. 4Obstetrics and Gynecology4% of their works
  5. 5Civil and Structural Engineering4% of their works
  6. 6Artificial Intelligence4% of their works

Research topics

Which keywords describe Jennifer Eccles's research?

The keywords of their largest research topics: Aneuploidy Screening, Prenatal Diagnosis, Gene Expression, Assisted Reproductive Technology, In Vitro Fertilization, Earthquakes, Fertility Preservation and Genetic Variation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Aneuploidy Screening111 topic
  2. Prenatal Diagnosis111 topic
  3. Gene Expression42 topics
  4. Assisted Reproductive Technology31 topic
  5. In Vitro Fertilization31 topic
  6. Earthquakes21 topic
  7. Fertility Preservation21 topic
  8. Genetic Variation21 topic
  9. Genome-Wide Association21 topic
  10. Genomic Imprinting21 topic
  11. Impact21 topic
  12. Machine Learning21 topic
  13. Ovarian Tissue Cryopreservation21 topic
  14. Parental Influence21 topic
  15. Seismic Signals21 topic
  16. Subduction21 topic
  17. Tsunami21 topic

Where does Jennifer Eccles work?

Jennifer Eccles's main affiliation in the publication record is Genomic Prediction (United States), United States.

How many publications and citations does Jennifer Eccles have?

OpenAlex counts 20 works and 513 citations for Jennifer Eccles, an h-index of 7, ranking #2,314,416 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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