Hamish E. Ward

731 citations
10 papers · 559 · h-index 8

Impact in

Papers in

    • Ion channel regulation and function 3
    • RNA and protein synthesis mechanisms 2
    • Mitochondrial Function and Pathology 2
    • Gene expression and cancer classification 1
    • Genetic and phenotypic traits in livestock 2
    • Genetic Mapping and Diversity in Plants and Animals 1

Hamish E. Ward

10 papers receiving 553 citations

Peers

Hamish E. Ward
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 195
  • Biochemistry 48
  • Agronomy and Crop Science 69
  • Cell Biology 85
  • Genetics 140
Replace Wojciech Kędzierski with:
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Atsushi Hirao Japan
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Hamish E. Ward relative to Wojciech Kędzierski United States Wojciech Kędzierski's profile →
Citations per field
00.5×4.9×
Wojciech Kędzierski · 1×
Citations per year

Countries citing papers authored by Hamish E. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Hamish E. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004203
2 200394
3 200983
4 200950
5 200941
6 201237
7 200827
8 201516
9 20227
10
A missense mutation of human Gephyrin (GPHN) is associated with Hyperekplexia and transcript isoform analysis re-defines the genomic structure of GPHN
20011

About Hamish E. Ward

Hamish E. Ward is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 559 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Genetic and phenotypic traits in livestock (2 papers), RNA and protein synthesis mechanisms (2 papers), Fatty Acid Research and Health (2 papers), Mitochondrial Function and Pathology (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), Gene expression and cancer classification (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (195 citations), Biochemistry (48 citations), Agronomy and Crop Science (69 citations), Cell Biology (85 citations) and Genetics (140 citations). Hamish E. Ward has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Russell G. Snell, Mark I. Rees, Trevor G. Smart, Ian Duguid, Victoria L. Harvey, Kirsten Harvey, Klaus Lehnert, Michael J. Owen, N.H. Keep and Brian R. Pearce. Their work appears in journals such as Scientific Reports, Journal of Proteomics, Genetics, Genetics Selection Evolution and Journal of Neuroscience.

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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