Katherine Neas

1.1k total citations
22 papers, 430 citations indexed

About

Katherine Neas is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Katherine Neas has authored 22 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Genetics. Recurrent topics in Katherine Neas's work include RNA modifications and cancer (4 papers), Genomics and Rare Diseases (3 papers) and Mitochondrial Function and Pathology (3 papers). Katherine Neas is often cited by papers focused on RNA modifications and cancer (4 papers), Genomics and Rare Diseases (3 papers) and Mitochondrial Function and Pathology (3 papers). Katherine Neas collaborates with scholars based in New Zealand, Australia and United States. Katherine Neas's co-authors include Donald R. Love, Jackie Crawford, Jonathan R. Skinner, Andrew N. Shelling, Rohan Ameratunga, See‐Tarn Woon, Andrew Aitken, Ian Hayes, Trond P. Leren and Timothy D. Koelmeyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and The American Journal of Human Genetics.

In The Last Decade

Katherine Neas

22 papers receiving 427 citations

Peers

Katherine Neas
Comparison fields: 5 of 60
  • Molecular Biology 214
  • Cardiology and Cardiovascular Medicine 158
  • Genetics 103
  • Immunology 50
  • Genetics 49
Replace Yumiko Yamauchi with:
Yumiko Yamauchi Japan
Nathan Denton United Kingdom
Heide Seidel Germany
Jessica K. Edwards United Kingdom
Pietro Sirleto Italy
Laëtitia Gouas France
Natália D. Linhares Brazil
Nela Maksimović Serbia
Ruolan Guo China
Ken L. Jones United States
Yumiko Yamauchi Japan View profile →
Citations per field, relative to Katherine Neas
Katherine Neas · 1×
Citations per year, relative to Katherine Neas
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Countries citing papers authored by Katherine Neas

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Neas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Neas

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Neas. A scholar is included among the top collaborators of Katherine Neas 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 Katherine Neas. Katherine Neas 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
# Work Indexed citations
1 14
2 13
3 13
4 4
5 3
6 3
7
Detection of sudden death syndromes in New Zealand.
4
8 39
9 1
10 7
11 38
12 24
13 43
14 121
15 14
16 7
17 24
18 37
19 3
20 1

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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