Kaite Honeyman

1.6k citations
13 papers · 1.1k indexed · h-index 10
Topics
Muscle Physiology and Disorders (11 papers)RNA Interference and Gene Delivery (7 papers)Virus-based gene therapy research (4 papers)

In The Last Decade

Kaite Honeyman

13 papers receiving 1.1k citations

Peers

Kaite Honeyman
Comparison fields: 5 of 54
  • Molecular Biology 1.1k
  • Genetics 337
  • Genetics 214
  • Cardiology and Cardiovascular Medicine 179
  • Biomaterials 97
Replace Suzan M. Hammond with:
Suzan M. Hammond United Kingdom
Stephanie F. Phelps United States
Hans Heemskerk Netherlands
Carmen Bertoni United States
Yusuke Echigoya Japan
Kristin N. Heller United States
Michael J. Blankinship United States
J Croissant United States
T G Sherratt United Kingdom
Marybeth Camboni United States
Kaite Honeyman relative to Suzan M. Hammond United Kingdom Suzan M. Hammond's profile →
Citations per field
00.5×1.5×2.2×
Suzan M. Hammond · 1×
Citations per year

Countries citing papers authored by Kaite Honeyman

Since Specialization
Citations

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

Fields of papers citing papers by Kaite Honeyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaite Honeyman

This figure shows the co-authorship network connecting the top 25 collaborators of Kaite Honeyman. A scholar is included among the top collaborators of Kaite Honeyman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaite Honeyman. Kaite Honeyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 124
2 74
3 31
4 142
5 119
6 311
7 25
8 175
9 3
10 12
11
Autosomal dominant distal myopathy: linkage to chromosome 14.
96
12
Autosomal dominant distal myopathy linkage on Chromosome 14
1
13
Autosomal dominant distal myopathy: linkage to chromosome 14
1

About Kaite Honeyman

Kaite Honeyman is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), RNA Interference and Gene Delivery (7 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Genetics (214 citations), Molecular Biology (1.1k citations) and Genetics (337 citations). Kaite Honeyman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Steve D. Wilton, Sue Fletcher, Frances Lloyd, Christopher J. Mann, Abbie Fall, Penny L Harding, R. Johnsen, Jennifer E. Morgan, Andy Cheng and Terry Partridge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Therapy and Human Mutation.

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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