Sergey Afanasyev

2.3k total citations
63 papers, 1.7k citations indexed

About

Sergey Afanasyev is a scholar working on Immunology, Aquatic Science and Ecology. According to data from OpenAlex, Sergey Afanasyev has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 26 papers in Aquatic Science and 13 papers in Ecology. Recurrent topics in Sergey Afanasyev's work include Aquaculture disease management and microbiota (42 papers), Aquaculture Nutrition and Growth (25 papers) and Invertebrate Immune Response Mechanisms (15 papers). Sergey Afanasyev is often cited by papers focused on Aquaculture disease management and microbiota (42 papers), Aquaculture Nutrition and Growth (25 papers) and Invertebrate Immune Response Mechanisms (15 papers). Sergey Afanasyev collaborates with scholars based in Russia, Norway and Finland. Sergey Afanasyev's co-authors include Aleksei Krasnov, Sven Martin Jørgensen, Gerrit Timmerhaus, Heikki Koskinen, Hannu Mölsä, Caird E. Rexroad, Stanko Škugor, Sven Erik Jørgensen, Aimo Oikari and Petri Pehkonen and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Sergey Afanasyev

58 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Afanasyev Russia 24 1.2k 653 441 276 198 63 1.7k
Gerrit Timmerhaus Norway 27 1.0k 0.9× 647 1.0× 480 1.1× 303 1.1× 237 1.2× 53 1.8k
Stephen L. Kaattari United States 28 1.7k 1.4× 590 0.9× 302 0.7× 345 1.3× 104 0.5× 50 2.2k
Sven Martin Jørgensen Norway 29 1.3k 1.1× 751 1.2× 556 1.3× 307 1.1× 271 1.4× 39 2.0k
Tiago S. Hori Canada 20 739 0.6× 492 0.8× 338 0.8× 180 0.7× 63 0.3× 43 1.2k
Andrew R. Bridle Australia 27 1.3k 1.1× 595 0.9× 628 1.4× 230 0.8× 57 0.3× 75 1.8k
Lester H. Khoo United States 24 1.1k 0.9× 441 0.7× 461 1.0× 300 1.1× 51 0.3× 69 1.8k
Dian‐Chang Zhang China 21 782 0.7× 505 0.8× 234 0.5× 353 1.3× 91 0.5× 112 1.4k
Elena Chaves-Pozo Spain 32 1.8k 1.5× 824 1.3× 207 0.5× 338 1.2× 256 1.3× 98 2.7k
John D. Hansen United States 35 3.0k 2.6× 425 0.7× 196 0.4× 678 2.5× 185 0.9× 71 3.7k
Stanko Škugor Norway 18 836 0.7× 439 0.7× 410 0.9× 165 0.6× 56 0.3× 25 1.1k

Countries citing papers authored by Sergey Afanasyev

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Afanasyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Afanasyev

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Afanasyev. A scholar is included among the top collaborators of Sergey Afanasyev 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 Sergey Afanasyev. Sergey Afanasyev 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.
Krasnov, Aleksei, et al.. (2025). Atlantic salmon scale explants in bacteria-host interaction studies: in vitro challenge model. Fish & Shellfish Immunology. 165. 110466–110466. 1 indexed citations
2.
Afanasyev, Sergey, et al.. (2024). Initiation of the Shape Memory Effect by Fast Neutron Irradiation. The Physics of Metals and Metallography. 125(2). 211–216.
3.
4.
Afanasyev, Sergey, Erik Burgerhout, Lene Sveen, et al.. (2024). Endocrine and Transcriptome Changes Associated with Testicular Growth and Differentiation in Atlantic Salmon (Salmo salar L.). Current Issues in Molecular Biology. 46(6). 5337–5351. 1 indexed citations
5.
Shibasaki, Yasuhiro, Sergey Afanasyev, Álvaro Fernández-Montero, et al.. (2023). Cold-blooded vertebrates evolved organized germinal center–like structures. Science Immunology. 8(90). eadf1627–eadf1627. 38 indexed citations
6.
Bogevik, André S., Velmurugu Puvanendran, Katrin Vorkamp, et al.. (2023). Long-Term Influence of PCB- and PBDE-Spiked Microplastic Spheres Fed through Rotifers to Atlantic Cod (Gadus morhua) Larvae. International Journal of Molecular Sciences. 24(12). 10326–10326. 7 indexed citations
7.
Karlsen, Christian, et al.. (2023). Differentiation and traffic of IgM+ B cells between focal dark spots in skeletal muscle of Atlantic salmon, lymphoid and adipose tissues. Fish & Shellfish Immunology. 139. 108858–108858. 6 indexed citations
8.
Boysen, Preben, et al.. (2022). Evaluation of Immune Status in Two Cohorts of Atlantic Salmon Raised in Different Aquaculture Systems (Case Study). Genes. 13(5). 736–736. 7 indexed citations
9.
10.
Ytteborg, Elisabeth, Øyvind J. Hansen, Vibeke Høst, et al.. (2020). Morphology, Transcriptomics and In Vitro Model of Skin from Polar Cod (Boreogadus Saida) and Atlantic Cod (Gadus Morhua). Fishes. 5(4). 34–34. 10 indexed citations
11.
Krasnov, Aleksei, Sergey Afanasyev, Stian Nylund, & Alexander Rebl. (2020). Multigene Expression Assay for Assessment of the Immune Status of Atlantic Salmon. Genes. 11(11). 1236–1236. 22 indexed citations
12.
Bjørgen, Håvard, Erling Olaf Koppang, Petter Frost, et al.. (2020). IgM+ and IgT+ B Cell Traffic to the Heart during SAV Infection in Atlantic Salmon. Vaccines. 8(3). 493–493. 13 indexed citations
13.
14.
Mugue, N. S., Nadezhda V. Terekhanova, Sergey Afanasyev, & Aleksei Krasnov. (2019). Transcriptome sequencing of hybrid bester sturgeon: Responses to poly (I:C) in the context of comparative immunogenomics. Fish & Shellfish Immunology. 93. 888–894. 16 indexed citations
15.
Sommerset, Ingunn, et al.. (2018). A time-course study of gene expression and antibody repertoire at early time post vaccination of Atlantic salmon. Molecular Immunology. 106. 99–107. 25 indexed citations
16.
Johansen, Lill‐Heidi, Hanna L. Thim, Sven Martin Jørgensen, et al.. (2015). Comparison of transcriptomic responses to pancreas disease (PD) and heart and skeletal muscle inflammation (HSMI) in heart of Atlantic salmon (Salmo salar L). Fish & Shellfish Immunology. 46(2). 612–623. 39 indexed citations
17.
Krasnov, Aleksei, Øyvind Kileng, Stanko Škugor, et al.. (2013). Genomic analysis of the host response to nervous necrosis virus in Atlantic cod (Gadus morhua) brain. Molecular Immunology. 54(3-4). 443–452. 47 indexed citations
18.
Burki, Richard, Aleksei Krasnov, Caird E. Rexroad, et al.. (2012). Molecular crosstalk between a chemical and a biological stressor and consequences on disease manifestation in rainbow trout. Aquatic Toxicology. 127. 2–8. 14 indexed citations
19.
Krasnov, Aleksei, Gerrit Timmerhaus, Jacob Torgersen, et al.. (2011). Genomic survey of early responses to viruses in Atlantic salmon, Salmo salar L.. Molecular Immunology. 49(1-2). 163–174. 63 indexed citations
20.
Krasnov, Aleksei, Heikki Koskinen, Sergey Afanasyev, & Hannu Mölsä. (2005). Transcribed Tc1-like transposons in salmonid fish. BMC Genomics. 6(1). 107–107. 40 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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