Wade Nottingham

899 citations
7 papers · 724 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Zebrafish Biomedical Research Applications

Papers in

    • Epigenetics and DNA Methylation 4
    • Pluripotent Stem Cells Research 2
    • Zebrafish Biomedical Research Applications 4

Wade Nottingham

7 papers receiving 717 citations

Peers

Wade Nottingham
Comparison fields: 5 of 53
  • Hematology 145
  • Cell Biology 222
  • Genetics 300
  • Molecular Biology 515
  • Pediatrics, Perinatology and Child Health 89
Replace Jackie Sloane‐Stanley with:
Jackie Sloane‐Stanley United Kingdom
Jana Opavska United States
JE Visvader Australia
Hélia Neves Portugal
Lætitia Gressin France
L Cianetti Italy
Sandie Piltz United Kingdom
Oriana Romano Italy
Timothy Sadlon Australia
Yalin Guo Germany
Wade Nottingham relative to Jackie Sloane‐Stanley United Kingdom Jackie Sloane‐Stanley's profile →
Citations per field
00.5×3.6×
Jackie Sloane‐Stanley · 1×
Citations per year

Countries citing papers authored by Wade Nottingham

Since Specialization
Citations

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

Fields of papers citing papers by Wade Nottingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2007199
2 2006162
3 2004135
4 200594
5 200865
6 201057
7 201512

About Wade Nottingham

Wade Nottingham is a scholar working on Molecular Biology, Cell Biology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 724 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Epigenetics and DNA Methylation (4 papers), Genetic Syndromes and Imprinting (3 papers), Acute Myeloid Leukemia Research (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Pluripotent Stem Cells Research (2 papers), Neonatal Respiratory Health Research (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Hematology (145 citations), Cell Biology (222 citations), Genetics (300 citations), Molecular Biology (515 citations) and Pediatrics, Perinatology and Child Health (89 citations). Wade Nottingham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marella de Bruijn, Jo Peters, Christine M. Williamson, Simon Ball, Antonius Plagge, Martin Turner, Mark Maconochie, Pik-Shan Li, Eddy Rubin and Jackie Sloane‐Stanley. Their work appears in journals such as Blood, Nature Genetics, Experimental Hematology and Non-Coding RNA.

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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