L.J. Moore

2.2k total citations
52 papers, 1.7k citations indexed

About

L.J. Moore is a scholar working on Immunology, Small Animals and Molecular Biology. According to data from OpenAlex, L.J. Moore has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 11 papers in Small Animals and 11 papers in Molecular Biology. Recurrent topics in L.J. Moore's work include Aquaculture disease management and microbiota (22 papers), Animal Behavior and Welfare Studies (10 papers) and Microbial infections and disease research (7 papers). L.J. Moore is often cited by papers focused on Aquaculture disease management and microbiota (22 papers), Animal Behavior and Welfare Studies (10 papers) and Microbial infections and disease research (7 papers). L.J. Moore collaborates with scholars based in Norway, United Kingdom and United States. L.J. Moore's co-authors include Ivar Hordvik, G. J. Wassink, Laura Green, Rosemary Grogono‐Thomas, Johannes M. Dijkstra, Erling Olaf Koppang, Tomonori Somamoto, Uwe Fischer, R B Clague and Kai K. Lie and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Oncogene.

In The Last Decade

L.J. Moore

51 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
L.J. Moore Norway 27 845 385 370 265 249 52 1.7k
Robert W. Nordhausen United States 26 468 0.6× 144 0.4× 254 0.7× 306 1.2× 221 0.9× 74 2.6k
Anne K. Storset Norway 28 1.5k 1.8× 242 0.6× 131 0.4× 397 1.5× 302 1.2× 69 2.5k
Katharine E. Magor Canada 28 1.9k 2.3× 170 0.4× 145 0.4× 725 2.7× 232 0.9× 61 2.9k
Mark St. J. Crane Australia 25 709 0.8× 265 0.7× 83 0.2× 303 1.1× 49 0.2× 69 1.7k
G. Charlier Belgium 22 311 0.4× 81 0.2× 207 0.6× 300 1.1× 91 0.4× 71 1.5k
Javier Domı́nguez Spain 35 1.5k 1.8× 78 0.2× 248 0.7× 621 2.3× 825 3.3× 140 3.8k
Satoru Konnai Japan 34 1.8k 2.1× 265 0.7× 195 0.5× 494 1.9× 855 3.4× 237 4.3k
Waithaka Mwangi United States 24 634 0.8× 48 0.1× 94 0.3× 424 1.6× 589 2.4× 56 1.7k
J F Maddox Australia 22 522 0.6× 268 0.7× 86 0.2× 468 1.8× 263 1.1× 62 2.2k
Joseph C. Newton United States 20 735 0.9× 180 0.5× 213 0.6× 225 0.8× 13 0.1× 44 1.3k

Countries citing papers authored by L.J. Moore

Since Specialization
Citations

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

Fields of papers citing papers by L.J. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.J. Moore. 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 L.J. Moore. The network helps show where L.J. Moore may publish in the future.

Co-authorship network of co-authors of L.J. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of L.J. Moore. A scholar is included among the top collaborators of L.J. Moore 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 L.J. Moore. L.J. Moore 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.
Moore, L.J.. (2024). Oral Sebetralstat for On-Demand Treatment of Hereditary Angioedema Attacks. PEDIATRICS. 154(Supplement 4). S56–S56.
2.
Boley, Patricia A., et al.. (2024). Infectious hepatitis E virus is associated with the mature sperm head. PLoS Pathogens. 20(5). e1012240–e1012240. 4 indexed citations
3.
4.
Brown, R, et al.. (2021). Effects of ploidy and salmonid alphavirus infection on the skin and gill microbiome of Atlantic salmon (Salmo salar). PLoS ONE. 16(2). e0243684–e0243684. 29 indexed citations
5.
Nuñez-Ortiz, Noelia, L.J. Moore, Tom Ole Nilsen, et al.. (2018). Atlantic salmon post-smolts adapted for a longer time to seawater develop an effective humoral and cellular immune response against Salmonid alphavirus. Fish & Shellfish Immunology. 82. 579–590. 13 indexed citations
6.
Moore, L.J., Tom Ole Nilsen, Per Gunnar Fjelldal, et al.. (2017). Triploid atlantic salmon (Salmo salar L.) post-smolts accumulate prevalence more slowly than diploid salmon following bath challenge with salmonid alphavirus subtype 3. PLoS ONE. 12(4). e0175468–e0175468. 14 indexed citations
7.
Patel, Sonal, et al.. (2017). Salmonid alphavirus infection causes skin dysbiosis in Atlantic salmon (Salmo salar L.) post-smolts. PLoS ONE. 12(3). e0172856–e0172856. 58 indexed citations
8.
Moore, L.J., Tom Ole Nilsen, Sigurd O. Stefansson, et al.. (2017). Immune gene profiles in Atlantic salmon (salmo salar L.) post-smolts infected with SAV3 by bath-challenge show a delayed response and lower levels of gene transcription compared to injected fish. Fish & Shellfish Immunology. 62. 320–331. 15 indexed citations
9.
Moore, L.J., et al.. (2015). Cornoid Lamella-Like Structures in HIV-Associated Epidermodysplasia Verruciformis. American Journal of Dermatopathology. 37(12). 929–932. 8 indexed citations
10.
Kaler, Jasmeet, Graham F. Medley, Rosemary Grogono‐Thomas, et al.. (2010). Factors associated with changes of state of foot conformation and lameness in a flock of sheep. Preventive Veterinary Medicine. 97(3-4). 237–244. 48 indexed citations
11.
Moore, L.J., Johannes M. Dijkstra, Erling Olaf Koppang, & Ivar Hordvik. (2008). CD4 homologues in Atlantic salmon. Fish & Shellfish Immunology. 26(1). 10–18. 50 indexed citations
12.
Liu, Yun, L.J. Moore, Erling Olaf Koppang, & Ivar Hordvik. (2007). Characterization of the CD3ζ, CD3γδ and CD3ε subunits of the T cell receptor complex in Atlantic salmon. Developmental & Comparative Immunology. 32(1). 26–35. 50 indexed citations
13.
Green, Laura, G. J. Wassink, Rosemary Grogono‐Thomas, L.J. Moore, & Graham F. Medley. (2006). Looking after the individual to reduce disease in the flock: A binomial mixed effects model investigating the impact of individual sheep management of footrot and interdigital dermatitis in a prospective longitudinal study on one farm. Preventive Veterinary Medicine. 78(2). 172–178. 47 indexed citations
14.
Moore, L.J.. (2004). The glycopeptide vancomycin does not enhance toll-like receptor 2 (TLR2) activation by Streptococcus pneumoniae. Journal of Antimicrobial Chemotherapy. 54(1). 76–78. 5 indexed citations
15.
Hordvik, Ivar, et al.. (2004). Structure and organization of the T cell receptor alpha chain genes in Atlantic salmon. Molecular Immunology. 41(5). 553–559. 29 indexed citations
16.
Aspehaug, Vidar, Knut Falk, Bjørn Krossøy, et al.. (2004). Infectious salmon anemia virus (ISAV) genomic segment 3 encodes the viral nucleoprotein (NP), an RNA-binding protein with two monopartite nuclear localization signals (NLS). Virus Research. 106(1). 51–60. 37 indexed citations
17.
Moore, L.J., et al.. (1994). In vitro alternatives for the detection of photoirritant chemicals: The EEC/COLIPA trial. Toxicology in Vitro. 8(4). 723–725. 6 indexed citations
18.
Moore, L.J. & A.W.D. Lepper. (1991). A unified serotyping scheme for Moraxella bovis. Veterinary Microbiology. 29(1). 75–83. 32 indexed citations
19.
Langeland, Nina & L.J. Moore. (1990). Reduction of HSV‐1 binding to BHK cells after treatment with phosphatidylinositol‐specific phospholipase C. FEBS Letters. 277(1-2). 253–256. 4 indexed citations
20.

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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