N Gudkovs

708 total citations
28 papers, 517 citations indexed

About

N Gudkovs is a scholar working on Immunology, Molecular Biology and Insect Science. According to data from OpenAlex, N Gudkovs has authored 28 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Insect Science. Recurrent topics in N Gudkovs's work include Aquaculture disease management and microbiota (22 papers), Invertebrate Immune Response Mechanisms (8 papers) and Insect symbiosis and bacterial influences (7 papers). N Gudkovs is often cited by papers focused on Aquaculture disease management and microbiota (22 papers), Invertebrate Immune Response Mechanisms (8 papers) and Insect symbiosis and bacterial influences (7 papers). N Gudkovs collaborates with scholars based in Australia, India and New Zealand. N Gudkovs's co-authors include John Humphrey, J Carson, W L McDonald, Mark St. J. Crane, Brian Austin, Balakrishnan Pradeep, Cara L. Brosnahan, Peter J. Walker, Malathi Shekar and Indrani Karunasagar and has published in prestigious journals such as Virology, Aquaculture and Journal of Applied Microbiology.

In The Last Decade

N Gudkovs

27 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N Gudkovs Australia 15 417 119 108 85 84 28 517
Donald McGarey United States 6 443 1.1× 134 1.1× 112 1.0× 198 2.3× 68 0.8× 6 602
José Antonio García Cabrera Spain 15 409 1.0× 128 1.1× 114 1.1× 96 1.1× 105 1.3× 34 754
R. Kusuda Japan 13 441 1.1× 160 1.3× 75 0.7× 64 0.8× 98 1.2× 29 553
Kornsunee Phiwsaiya Thailand 20 655 1.6× 223 1.9× 117 1.1× 162 1.9× 44 0.5× 42 831
John L. Fryer United States 10 376 0.9× 113 0.9× 53 0.5× 47 0.6× 44 0.5× 18 460
T. Greenway United States 15 301 0.7× 86 0.7× 147 1.4× 54 0.6× 77 0.9× 24 579
Anutosh Paria India 14 492 1.2× 110 0.9× 73 0.7× 53 0.6× 66 0.8× 34 568
Đuro Sulimanović Croatia 4 555 1.3× 126 1.1× 95 0.9× 21 0.2× 124 1.5× 6 742
I.G. Anderson Malaysia 12 346 0.8× 82 0.7× 128 1.2× 35 0.4× 30 0.4× 20 474
Laurent Bigarré France 19 473 1.1× 97 0.8× 77 0.7× 55 0.6× 43 0.5× 38 930

Countries citing papers authored by N Gudkovs

Since Specialization
Citations

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

Fields of papers citing papers by N Gudkovs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Gudkovs

This figure shows the co-authorship network connecting the top 25 collaborators of N Gudkovs. A scholar is included among the top collaborators of N Gudkovs 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 N Gudkovs. N Gudkovs 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.
Moody, NJG, Peter G. Mohr, LM Williams, et al.. (2022). Performance characteristics of two real-time TaqMan polymerase chain reaction assays for the detection of WSSV in clinically diseased and apparently healthy prawns. Diseases of Aquatic Organisms. 150. 169–182. 8 indexed citations
2.
Gudkovs, N, et al.. (2016). Aquatic Animal Health Subprogram: Development of improved molecular diagnostic tests for Perkinsus olseni in Australian molluscs. Murdoch Research Repository (Murdoch University). 1 indexed citations
3.
Carson, J, Mark St. J. Crane, Lynette M. Williams, et al.. (2016). Preliminary characterization of Tasmanian aquareovirus (TSRV) isolates. Archives of Virology. 162(3). 625–634. 6 indexed citations
4.
Gudkovs, N & Peter J. Walker. (2014). Stability of the WSSV ORF94 VNTR genotype marker during passage in marine shrimp, freshwater crayfish and freshwater prawns. Diseases of Aquatic Organisms. 111(3). 249–257. 5 indexed citations
5.
Keeling, Suzanne, Cara L. Brosnahan, Colin Johnston, et al.. (2012). Development and validation of a real‐time PCR assay for the detection of Aeromonas salmonicida. Journal of Fish Diseases. 36(5). 495–503. 28 indexed citations
6.
Keeling, Suzanne, C. I. Johnston, Robert S. Wallis, et al.. (2011). Development and validation of real‐time PCR for the detection of Yersinia ruckeri. Journal of Fish Diseases. 35(2). 119–125. 20 indexed citations
7.
8.
9.
Carson, J, et al.. (2010). Physical characterisation of Tenacibaculum maritimum for vaccine development. Journal of Applied Microbiology. 109(5). no–no. 14 indexed citations
10.
Dangtip, S., Kallaya Sritunyalucksana, Balakrishnan Pradeep, et al.. (2009). Detection of Laem-Singh virus in cultured Penaeus monodon shrimp from several sites in the Indo-Pacific region. Diseases of Aquatic Organisms. 84(3). 195–200. 13 indexed citations
11.
Cowley, Jeff A., et al.. (2009). Homologous genetic recombination in the yellow head complex of nidoviruses infecting Penaeus monodon shrimp. Virology. 390(1). 79–88. 14 indexed citations
12.
Pradeep, Balakrishnan, Malathi Shekar, N Gudkovs, & Indrani Karunasagar. (2007). Genotyping of white spot syndrome virus prevalent in shrimp farms of India. Diseases of Aquatic Organisms. 78(3). 189–198. 34 indexed citations
13.
Gudkovs, N, et al.. (2006). Atypical strains of Aeromonas salmonicida contain multiple copies of insertion element ISAsa4, useful as a genetic marker and a target for PCR assay. Diseases of Aquatic Organisms. 70(3). 209–217. 16 indexed citations
14.
Williams, Lynette M., Mark St. J. Crane, & N Gudkovs. (2004). Development and characterisation of pilchard (Sardinops sagax neopilchardus) cell lines derived from liver and heart tissues. Methods in Cell Science. 25(3-4). 105–113. 8 indexed citations
15.
Gudkovs, N, et al.. (2002). PCR-based assays for the fish pathogen Aeromonas salmonicida. II. Further evaluation and validation of three PCR primer sets with infected fish. Diseases of Aquatic Organisms. 49(2). 139–144. 11 indexed citations
16.
Gudkovs, N, et al.. (2002). PCR-based assays for the fish pathogen Aeromonas salmonicida. I. Evaluation of three PCR primer sets for detection and identification. Diseases of Aquatic Organisms. 49(2). 129–138. 29 indexed citations
17.
Crane, Mark St. J., LM Williams, AD Hyatt, et al.. (2000). First isolation of an aquatic birnavirus from farmed and wild fish species in Australia. Diseases of Aquatic Organisms. 43(1). 1–14. 33 indexed citations
18.
Cartwright, Gary A., et al.. (1994). Immunodiagnosis of virulent strains of Aeromonas hydrophila associated with epizootic ulcerative syndrome (EUS) using a monoclonal antibody. Journal of Fish Diseases. 17(2). 123–133. 5 indexed citations
19.
Humphrey, John, et al.. (1987). The disease status of Australian salmonids: bacteria and bacterial diseases. Journal of Fish Diseases. 10(5). 403–410. 32 indexed citations
20.
LANGDON, J. S., et al.. (1986). The disease status of Australian salmonids: viruses and viral diseases. Journal of Fish Diseases. 9(2). 129–135. 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.

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