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.
Bacterial Fish Pathogens: Disease of Farmed and Wild Fish
19881.3k citationsBrian Austin, Dawn A. Austinprofile →
This map shows the geographic impact of Brian Austin'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 Brian Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Austin more than expected).
This network shows the impact of papers produced by Brian Austin. 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 Brian Austin. The network helps show where Brian Austin may publish in the future.
Co-authorship network of co-authors of Brian Austin
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Austin.
A scholar is included among the top collaborators of Brian Austin 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 Brian Austin. Brian Austin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mothersill, Carmel & Brian Austin. (2003). In vitro methods in aquatic toxicology. Springer eBooks.47 indexed citations
4.
Austin, Brian, et al.. (2001). Antimicrobial resistance of vibrios isolated from fish and marine shrimp in Venezuela. Stirling Online Research Repository (University of Stirling). 11(2). 139–148.3 indexed citations
Austin, Brian. (1999). Emerging bacterial fish pathogens. Bulletin of the European Association of Fish Pathologists. 19(6). 231–234.17 indexed citations
7.
Austin, Brian, et al.. (1999). Diagnosis and control of bacterial fish pathogens with emphasis on Vibrio harveyi. Qingdao Haiyang Daxue xuebao. 29(3). 489–499.3 indexed citations
8.
Austin, Brian. (1998). Biotechnology and diagnosis and control of fish pathogens. 6(1). 1–2.5 indexed citations
9.
Daskalov, H., et al.. (1998). Klebsiella pneumoniae: A pathogen of rainbow trout (Oncorhynchus mykiss, Walbaum) ?. Bulletin of the European Association of Fish Pathologists. 18(1). 26–28.5 indexed citations
10.
Pedersen, Karl, et al.. (1996). Dissociation of Vibrio anguillarum and V. ordalii cultures into two or three discrete colony types. Bulletin of the European Association of Fish Pathologists. 16(3). 101–103.2 indexed citations
11.
Austin, Brian, et al.. (1996). The genus Aeromonas.. John Wiley & Sons eBooks.191 indexed citations
12.
Austin, Brian & Peter Robertson. (1994). Recovery of Streptococcus milleri from ulcerated koi carp (Cyprinus carpio L.) in the UK. Bulletin of the European Association of Fish Pathologists. 13(6). 207–209.4 indexed citations
13.
Mudarris, M. & Brian Austin. (1992). Histopathology of a gill and systemic disease of turbot (Scophthalmus maximus) caused by Cytophaga-like bacterium (CLB). Bulletin of the European Association of Fish Pathologists. 12. 120–123.6 indexed citations
14.
Austin, Brian & Dawn A. Austin. (1989). Methods for the microbiological examination of fish and shellfish.112 indexed citations
Austin, Brian, et al.. (1985). A false positive reaction in the indirect fluorescent antibody test for Renibacterium salmoninarum with a "coryneform" organism.. Bulletin of the European Association of Fish Pathologists. 5(1). 8–9.22 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.