John Wei

6.3k citations
17 papers · 935 · h-index 14

Impact in

  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • Genetic Associations and Epidemiology
    • Autism Spectrum Disorder Research

Papers in

John Wei

17 papers receiving 912 citations

Peers

John Wei
Comparison fields: 5 of 78
  • Genetics 527
  • Cognitive Neuroscience 123
  • Pediatrics, Perinatology and Child Health 107
  • Molecular Biology 396
  • Cancer Research 76
Replace Bhooma Thiruvahindrapuram with:
Bhooma Thiruvahindrapuram Canada
Milen Velinov United States
Silvia Souza da Costa Brazil
Dimitri J. Stavropoulos Canada
Shay Ben‐Shachar Israel
Jirair K. Bedoyan United States
Paul C. Lott United States
Nicole Créau France
Deborah Barbouth United States
John Wei relative to Bhooma Thiruvahindrapuram Canada Bhooma Thiruvahindrapuram's profile →
Citations per field
00.5×1.5×
Bhooma Thiruvahindrapuram · 1×
Citations per year

Countries citing papers authored by John Wei

Since Specialization
Citations

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

Fields of papers citing papers by John Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010224
2 2012152
3 2006124
4 2015112
5 201461
6 201454
7 201444
8 201726
9 200723
10 201121
11 201820
12 202120
13 201920
14 201814
15 201811
16 20208
17 20171

About John Wei

John Wei is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Cognitive Neuroscience and Plant Science, having authored 17 papers that have together received 935 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (12 papers), Genomics and Rare Diseases (4 papers), Prenatal Screening and Diagnostics (4 papers), Autism Spectrum Disorder Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Phylogenetic Studies (1 paper) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Genetics (527 citations), Cognitive Neuroscience (123 citations), Pediatrics, Perinatology and Child Health (107 citations), Molecular Biology (396 citations) and Cancer Research (76 citations). John Wei has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Stephen W. Scherer, Bhooma Thiruvahindrapuram, Christian R. Marshall, Muhammad Rafiq, Charles Lee, Matthew E. Hurles, Lars Feuk, Jeffrey R. MacDonald, Anath C. Lionel and Daniele Merico. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Nature Communications, Gastroenterology, G3 Genes Genomes Genetics and Molecular 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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