Roy A. Dalmo

6.1k total citations · 1 hit paper
98 papers, 4.8k citations indexed

About

Roy A. Dalmo is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Roy A. Dalmo has authored 98 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 34 papers in Aquatic Science and 16 papers in Molecular Biology. Recurrent topics in Roy A. Dalmo's work include Aquaculture disease management and microbiota (82 papers), Aquaculture Nutrition and Growth (33 papers) and Invertebrate Immune Response Mechanisms (26 papers). Roy A. Dalmo is often cited by papers focused on Aquaculture disease management and microbiota (82 papers), Aquaculture Nutrition and Growth (33 papers) and Invertebrate Immune Response Mechanisms (26 papers). Roy A. Dalmo collaborates with scholars based in Norway, China and United Kingdom. Roy A. Dalmo's co-authors include Jarl Bøgwald, Ian Bricknell, Kristian Ingebrigtsen, Rolf Seljelid, Heidi Amlund, Einar Ringø, G.-I. HEMRE, Anne Marie Bakke, Rolf Erik Olsen and Carolina Tafalla and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Roy A. Dalmo

95 papers receiving 4.6k citations

Hit Papers

Prebiotics in aquaculture... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roy A. Dalmo 4.1k 2.3k 635 465 339 98 4.8k
Jarl Bøgwald 3.7k 0.9× 2.3k 1.0× 681 1.1× 438 0.9× 353 1.0× 92 4.7k
Bergljót Magnadóttir 3.7k 0.9× 2.1k 0.9× 539 0.8× 632 1.4× 235 0.7× 52 4.2k
Geert F. Wiegertjes 4.5k 1.1× 1.6k 0.7× 778 1.2× 837 1.8× 178 0.5× 155 6.0k
Tiehui Wang 6.1k 1.5× 1.5k 0.6× 724 1.1× 582 1.3× 228 0.7× 147 7.0k
J. Oriol Sunyer 6.5k 1.6× 2.0k 0.8× 880 1.4× 933 2.0× 317 0.9× 80 7.4k
Christopher Marlowe A. Caipang 2.8k 0.7× 1.8k 0.8× 499 0.8× 583 1.3× 162 0.5× 118 3.5k
Irene Salinas 5.4k 1.3× 2.4k 1.0× 988 1.6× 841 1.8× 370 1.1× 94 6.2k
Pramoda Kumar Sahoo 4.1k 1.0× 2.8k 1.2× 423 0.7× 968 2.1× 215 0.6× 134 5.0k
Teruyuki Nakanishi 4.4k 1.1× 884 0.4× 644 1.0× 439 0.9× 281 0.8× 161 5.3k
Hidehiro Kondo 4.5k 1.1× 1.1k 0.5× 1.3k 2.1× 623 1.3× 531 1.6× 282 6.1k

Countries citing papers authored by Roy A. Dalmo

Since Specialization
Citations

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

Fields of papers citing papers by Roy A. Dalmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy A. Dalmo. 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 Roy A. Dalmo. The network helps show where Roy A. Dalmo may publish in the future.

Co-authorship network of co-authors of Roy A. Dalmo

This figure shows the co-authorship network connecting the top 25 collaborators of Roy A. Dalmo. A scholar is included among the top collaborators of Roy A. Dalmo 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 Roy A. Dalmo. Roy A. Dalmo 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.
2.
Tang, Xiaoqian, Jing Xing, Xiuzhen Sheng, et al.. (2025). G-CSF modulates innate and adaptive immunity via the ligand-receptor pathway of binding GCSFR in flounder (Paralichthys olivaceus). Fish & Shellfish Immunology. 158. 110160–110160. 1 indexed citations
3.
Dalmo, Roy A., et al.. (2025). Immune gene expression in salmon keratocytes upon bacterial exposure. BMC Molecular and Cell Biology. 26(1). 28–28.
4.
Chi, Heng, Roy A. Dalmo, Xiuzhen Sheng, et al.. (2024). Ontogeny of myeloperoxidase (MPO) positive cells in flounder (Paralichthys olivaceus). Molecular Immunology. 170. 26–34.
5.
Li, Xinyu, Heng Chi, Roy A. Dalmo, et al.. (2023). Anti-microbial activity and immunomodulation of recombinant hepcidin 2 and NK-lysin from flounder (Paralichthys olivaceus). International Journal of Biological Macromolecules. 253(Pt 8). 127590–127590. 9 indexed citations
6.
Chi, Heng, Roy A. Dalmo, Xiaoqian Tang, et al.. (2023). Characterization of myeloperoxidase and its contribution to antimicrobial effect on extracellular traps in flounder (Paralichthys olivaceus). Frontiers in Immunology. 14. 1124813–1124813. 14 indexed citations
7.
Colin‐York, Huw, Kseniya Korobchevskaya, Di Li, et al.. (2021). Two-dimensional TIRF-SIM–traction force microscopy (2D TIRF-SIM-TFM). Nature Communications. 12(1). 2169–2169. 40 indexed citations
8.
Zhang, Zuobing, Heng Chi, & Roy A. Dalmo. (2019). Trained Innate Immunity of Fish Is a Viable Approach in Larval Aquaculture. Frontiers in Immunology. 10. 42–42. 59 indexed citations
9.
Kumari, Jaya, Zuobing Zhang, Jaya Kumari Swain, et al.. (2015). Transcription Factor T-Bet in Atlantic Salmon: Characterization and Gene Expression in Mucosal Tissues during Aeromonas Salmonicida Infection. Frontiers in Immunology. 6. 345–345. 17 indexed citations
10.
Myhr, Anne Ingeborg, et al.. (2014). Strategies and hurdles using DNA vaccines to fish. Veterinary Research. 45(1). 21–21. 77 indexed citations
11.
Kumari, Jaya, Jarl Bøgwald, & Roy A. Dalmo. (2013). Eomesodermin of Atlantic Salmon: An Important Regulator of Cytolytic Gene and Interferon Gamma Expression in Spleen Lymphocytes. PLoS ONE. 8(2). e55893–e55893. 17 indexed citations
12.
Fredriksen, Børge Nilsen, et al.. (2011). Immune response of Atlantic salmon to recombinant flagellin. Vaccine. 29(44). 7678–7687. 37 indexed citations
13.
Fredriksen, Børge Nilsen, et al.. (2011). Early immune responses in Atlantic salmon (Salmo salar L.) after immunization with PLGA nanoparticles loaded with a model antigen and β-glucan. Vaccine. 29(46). 8338–8349. 47 indexed citations
14.
Zhang, Zuobing, Cuijuan Niu, Arne Storset, Jarl Bøgwald, & Roy A. Dalmo. (2011). Comparison of Aeromonas salmonicida resistant and susceptible salmon families: A high immune response is beneficial for the survival against Aeromonas salmonicida challenge. Fish & Shellfish Immunology. 31(1). 1–9. 35 indexed citations
15.
Zhang, Zuobing, Jaya Kumari Swain, Jarl Bøgwald, Roy A. Dalmo, & Jaya Kumari. (2009). Bath immunostimulation of rainbow trout (Oncorhynchus mykiss) fry induces enhancement of inflammatory cytokine transcripts, while repeated bath induce no changes. Fish & Shellfish Immunology. 26(5). 677–684. 61 indexed citations
16.
Bøgwald, Jarl, et al.. (2008). What happens to the DNA vaccine in fish? A review of current knowledge. Fish & Shellfish Immunology. 25(1-2). 1–18. 124 indexed citations
17.
Løvoll, Marie, et al.. (2007). Detection of supercoiled plasmid DNA and luciferase expression in Atlantic salmon (Salmo salar L.) 535days after injection. Fish & Shellfish Immunology. 23(4). 867–876. 29 indexed citations
18.
Magnadóttir, Bergljót, B K Gudmundsdóttir, Sigrun Lange, et al.. (2006). Immunostimulation of larvae and juveniles of cod, Gadus morhua L.. Journal of Fish Diseases. 29(3). 147–155. 33 indexed citations
19.
Bøgwald, Jarl, et al.. (2005). Isolation and characterisation of spotted wolffish (Anarhichas minor Olafsen) macrophages. Fish & Shellfish Immunology. 18(5). 381–391. 10 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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