Kathryn Tiplady

1.1k citations
25 papers · 573 indexed · h-index 13
Topics
Genetic and phenotypic traits in livestock (22 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)Cancer-related molecular mechanisms research (7 papers)

In The Last Decade

Kathryn Tiplady

24 papers receiving 571 citations

Peers

Kathryn Tiplady
Comparison fields: 5 of 53
  • Genetics 459
  • Agronomy and Crop Science 167
  • Cancer Research 139
  • Animal Science and Zoology 133
  • Molecular Biology 117
Replace Thomas Lopdell with:
Thomas Lopdell New Zealand
Richard G. Sherlock New Zealand
A. Zidi Spain
Cinzia Marchitelli Italy
A. Albera Italy
Jayakumar Sivalingam India
W.M. Stoop Netherlands
Fabieli Loise Braga Feitosa Brazil
Rafael Espigolan Brazil
Masood Asadi Fozi Iran
Kathryn Tiplady relative to Thomas Lopdell New Zealand Thomas Lopdell's profile →
Citations per field
00.5×1.5×
Thomas Lopdell · 1×
Citations per year

Countries citing papers authored by Kathryn Tiplady

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Tiplady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Tiplady

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Tiplady. A scholar is included among the top collaborators of Kathryn Tiplady 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 Kathryn Tiplady. Kathryn Tiplady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 11
4 11
5 7
6 1
7 22
8 21
9 29
10 25
11 20
12 6
13
Using RNAseq data to improve genomic selection in dairy cattle
2
14 2
15 45
16 14
17 14
18 91
19 2
20 50

About Kathryn Tiplady

Kathryn Tiplady is a scholar working on Genetics, Agronomy and Crop Science and Cancer Research, having authored 25 papers that have together received 573 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Agronomy and Crop Science (167 citations), Genetics (459 citations) and Animal Science and Zoology (133 citations). Kathryn Tiplady has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Mathew D. Littlejohn, Thomas Lopdell, Stephen R. Davis, Richard Spelman, Thomas Johnson, Russell G. Snell, Dorian J. Garrick, Richard G. Sherlock, Christine Couldrey and Chad Harland. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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