Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Betanodavirus infections of teleost fish: a review
This map shows the geographic impact of B. L. Munday'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 B. L. Munday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. L. Munday more than expected).
This network shows the impact of papers produced by B. L. Munday. 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 B. L. Munday. The network helps show where B. L. Munday may publish in the future.
Co-authorship network of co-authors of B. L. Munday
This figure shows the co-authorship network connecting the top 25 collaborators of B. L. Munday.
A scholar is included among the top collaborators of B. L. Munday 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 B. L. Munday. B. L. Munday 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
1.
Thiyagarajah, Arunthavarani, B. L. Munday, & William R. Hartley. (2002). Cysts of unknown etiology in fresh and brackish water fishes from the Mississippi River Basin, Louisiana, USA. eCite Digital Repository (University of Tasmania).1 indexed citations
Zilberg, Dina, et al.. (2000). Effects of treatment with levamisole and glucans on mortality rates in Atlantic salmon (Salmo salar L.) suffering from amoebic gill disease.. Bulletin of the European Association of Fish Pathologists. 20(1). 23–27.21 indexed citations
4.
Watts, M., Christopher M. Burke, & B. L. Munday. (1996). The development of a fluorescent antibody stain to identify a Uronema sp. (Ciliophora: Scuticociliatida) implicated in fatal encephalitis in southern bluefin tuna (Thunnus maccoyii). Bulletin of the European Association of Fish Pathologists. 16(3). 104–108.6 indexed citations
5.
Nowak, Barbara F. & B. L. Munday. (1994). HISTOLOGY OF GILLS OF ATLANTIC SALMON DURING THE FIRST FEW MONTHS FOLLOWING TRANSFER TO SEA WATER. Bulletin of the European Association of Fish Pathologists. 14(3). 77–81.35 indexed citations
6.
Dennis, Darren & B. L. Munday. (1994). Microsporidiosis of palinurid lobsters from Australian waters. Bulletin of the European Association of Fish Pathologists. 14(1). 16–18.9 indexed citations
7.
Akhlaghi, Mostafa, B. L. Munday, & Richard J. Whittington. (1993). Comparison of the efficacy of two sites of intraperitoneal injection in fish. Bulletin of the European Association of Fish Pathologists. 13(5). 176–178.1 indexed citations
Munday, B. L.. (1967). Letters to the editor. New Zealand Veterinary Journal. 15(8). 149–149.9 indexed citations
17.
King, S. J., B. L. Munday, & W. J. Hartley. (1965). Bovine mycotic abortion and pneumonia. New Zealand Veterinary Journal. 13(3). 76–76.6 indexed citations
Sutherland, A. K., et al.. (1959). The correction of cobalt or vitamin B12 deficiency in cattle by cobalt pellet therapy.. American Journal of Veterinary Research. 20. 977–984.17 indexed citations
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.