Nicholas E. Hardison

458 citations
16 papers · 374 · h-index 10

Impact in

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genetic and phenotypic traits in livestock 3
    • Genetic Syndromes and Imprinting 3
    • Cancer therapeutics and mechanisms 3
    • Gene expression and cancer classification 3

Nicholas E. Hardison

16 papers receiving 370 citations

Peers

Nicholas E. Hardison
Comparison fields: 5 of 62
  • Obstetrics and Gynecology 144
  • Cancer Research 107
  • Pediatrics, Perinatology and Child Health 119
  • Genetics 122
  • Immunology 63
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Citations per year

Countries citing papers authored by Nicholas E. Hardison

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas E. Hardison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas E. Hardison. 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 Nicholas E. Hardison. The network helps show where Nicholas E. Hardison may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201092
2 200984
3 201367
4 201137
5 201317
6 201015
7 201112
8 200810
9 20119
10
Functional genomic approaches for the study of fetal/placental development in swine with special emphasis on imprinted genes.
20099
11
Ex-Vivo Modeling for Heritability Assessment and Genetic Mapping in Pharmacogenomics.
20116
12 20116
13 20085
14
Impact of selection for uterine capacity on the placental transcriptome.
20092
15 20202
16 20111

About Nicholas E. Hardison

Nicholas E. Hardison is a scholar working on Genetics, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers), Cancer therapeutics and mechanisms (3 papers), Pregnancy and preeclampsia studies (3 papers), Gene expression and cancer classification (3 papers), Genetic Syndromes and Imprinting (3 papers), MicroRNA in disease regulation (2 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Obstetrics and Gynecology (144 citations), Cancer Research (107 citations), Pediatrics, Perinatology and Child Health (119 citations), Genetics (122 citations) and Immunology (63 citations). Nicholas E. Hardison has collaborated with scholars based in United States and China. Frequent co-authors include Alison A. Motsinger‐Reif, Jorge A. Piedrahita, Shengdar Q. Tsai, Steve Bischoff, Allison James, Betty Thames, G. A. Rohrer, Dan Nonneman, B. A. Freking and Howard L. McLeod. Their work appears in journals such as Placenta, PLoS ONE, Molecular Cancer Therapeutics, BMC Genomics and BioData Mining.

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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