R. L. Heath

544 citations
13 papers · 354 indexed · h-index 8
Topics
Viral gastroenteritis research and epidemiology (5 papers)Virus-based gene therapy research (3 papers)Animal Virus Infections Studies (3 papers)

In The Last Decade

R. L. Heath

13 papers receiving 334 citations

Peers

R. L. Heath
Comparison fields: 5 of 52
  • Molecular Biology 171
  • Infectious Diseases 145
  • Animal Science and Zoology 87
  • Insect Science 85
  • Plant Science 78
Replace Masaki Nishikiori with:
Masaki Nishikiori Japan
Craig Hastings United States
Beth Nicholson Canada
Andrea Barthel Germany
Guijuan He United States
James M. Skuzeski United States
Reidun Lillestøl United Kingdom
Susong Zhu China
J. R. O. Dawson United Kingdom
Włodzimierz Zagórski Poland
R. L. Heath relative to Masaki Nishikiori Japan Masaki Nishikiori's profile →
Citations per field
00.5×3.1×
Masaki Nishikiori · 1×
Citations per year

Countries citing papers authored by R. L. Heath

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Heath. 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 R. L. Heath. The network helps show where R. L. Heath may publish in the future.

Co-authorship network of co-authors of R. L. Heath

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Heath. A scholar is included among the top collaborators of R. L. Heath 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 R. L. Heath. R. L. Heath 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 29
3 33
4 54
5 3
6
Immunochemical characterisation of the myofibrillar proteinase from cultured rat myocytes as chymase.
1
7 20
8 9
9 32
10
Serine proteinases and protein breakdown in muscle.
6
11 3
12 39
13 1

About R. L. Heath

R. L. Heath is a scholar working on Animal Science and Zoology, Infectious Diseases and Pharmacy, having authored 13 papers that have together received 354 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Virus-based gene therapy research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (87 citations), Infectious Diseases (145 citations) and Insect Science (85 citations). R. L. Heath has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Marilyn A. Anderson, Ian D. Gust, Chris Birch, Yolanda M. Gaspar, Kerry Dunse, Fung T. Lay, J. A. Stevens, Katherine J. Nielsen, David J. Craik and Christopher Birch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Applied and Environmental Microbiology.

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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