Stephen Laderman

1.1k citations
4 papers · 783 indexed · h-index 4

Impact in

  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Cancer Genomics and Diagnostics

Papers in

    • Genomic variations and chromosomal abnormalities 3
    • Genomics and Rare Diseases 2
    • Genetic Associations and Epidemiology 1
    • Chromosomal and Genetic Variations 2

Stephen Laderman

4 papers receiving 766 citations

Peers

Stephen Laderman
Comparison fields: 5 of 68
  • Genetics 541
  • Cancer Research 107
  • Pediatrics, Perinatology and Child Health 126
  • Molecular Biology 436
  • Plant Science 211
Replace D. C. Burford with:
D. C. Burford United Kingdom
Christa M. Lese United States
Jiangzhen Li United States
James Tepperberg United States
Anita S. Kulharya United States
Merete Bugge Denmark
Joanne Sutherland Canada
Judith Dagan Israel
Anke van Rijk Netherlands
Franck Court France
Stephen Laderman relative to D. C. Burford United Kingdom D. C. Burford's profile →
Citations per field
00.5×10×
D. C. Burford · 1×
Citations per year

Countries citing papers authored by Stephen Laderman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Laderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Stephen Laderman

Stephen Laderman is a scholar working on Genetics, Plant Science, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 783 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers), Chromosomal and Genetic Variations (2 papers), Genetic Associations and Epidemiology (1 paper), RNA Research and Splicing (1 paper), CRISPR and Genetic Engineering (1 paper), RNA and protein synthesis mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Genetics (541 citations), Cancer Research (107 citations), Pediatrics, Perinatology and Child Health (126 citations), Molecular Biology (436 citations) and Plant Science (211 citations). Stephen Laderman has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Zohar Yakhini, Nick Sampas, Amir Ben‐Dor, Laurakay Bruhn, Peter Tsang, Anya Tsalenko, N. Alice Yamada, Robert Kincaid, Michael T. Barrett and Bo Curry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Molecular Genetics and The American Journal of Human Genetics.

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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