N Gudkovs
Impact in
- Immunology top 5%
- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
- Immunology 24
- Aquaculture disease management and microbiota 22
- Invertebrate Immune Response Mechanisms 8
-
- Identification and Quantification in Food 6
- Co-authors
- John Humphrey (4 shared papers)J Carson (4 shared papers)W L McDonald (3 shared papers)Brian Austin (1 shared paper)Balakrishnan Pradeep (6 shared papers)Cara L. Brosnahan (3 shared papers)Peter J. Walker (7 shared papers)Indrani Karunasagar (1 shared paper)
- Journals
- Diseases of Aquatic Organisms (8 papers)Journal of Fish Diseases (7 papers)Aquaculture (3 papers)Australian Veterinary Journal (2 papers)Virology (1 paper)
- Partner nations
- AustraliaIndiaNew Zealand
In The Last Decade
N Gudkovs
27 papers receiving 491 citations
Peers
Comparison fields: 5 of 45
- Immunology 424
- Endocrinology 87
- Microbiology 81
- Aquatic Science 69
- Insect Science 76
Countries citing papers authored by N Gudkovs
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
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-authors
The 25 scholars most cited alongside N Gudkovs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 54 | |
| 2 | 1993 | 48 | |
| 3 | 2007 | 34 | |
| 4 | 2000 | 33 | |
| 5 | 1987 | 32 | |
| 6 | 2002 | 29 | |
| 7 | 2012 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2011 | 27 | |
| 10 | 1987 | 21 | |
| 11 | 2011 | 21 | |
| 12 | 1985 | 19 | |
| 13 | 1986 | 17 | |
| 14 | 2006 | 16 | |
| 15 | 2010 | 14 | |
| 16 | 2009 | 14 | |
| 17 | 2009 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2002 | 11 | |
| 20 | 2011 | 10 |
About N Gudkovs
N Gudkovs is a scholar working on Immunology, Molecular Biology, Insect Science, Microbiology and Aquatic Science, having authored 28 papers that have together received 524 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (22 papers), Invertebrate Immune Response Mechanisms (8 papers), Insect symbiosis and bacterial influences (7 papers), Identification and Quantification in Food (6 papers), Microbial infections and disease research (5 papers), Vibrio bacteria research studies (4 papers), Mosquito-borne diseases and control (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Immunology (424 citations), Endocrinology (87 citations), Microbiology (81 citations), Aquatic Science (69 citations) and Insect Science (76 citations). N Gudkovs has collaborated with scholars based in Australia, India and New Zealand. Frequent co-authors include John Humphrey, J Carson, W L McDonald, Brian Austin, Balakrishnan Pradeep, Cara L. Brosnahan, Peter J. Walker, Indrani Karunasagar, Malathi Shekar and Suzanne Keeling. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Fish Diseases, Aquaculture, Australian Veterinary Journal and Virology.
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.