V Lund

496 total citations
11 papers, 438 citations indexed

About

V Lund is a scholar working on Immunology, Microbiology and Endocrinology. According to data from OpenAlex, V Lund has authored 11 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Microbiology and 5 papers in Endocrinology. Recurrent topics in V Lund's work include Aquaculture disease management and microbiota (7 papers), Vibrio bacteria research studies (4 papers) and Bacteriophages and microbial interactions (3 papers). V Lund is often cited by papers focused on Aquaculture disease management and microbiota (7 papers), Vibrio bacteria research studies (4 papers) and Bacteriophages and microbial interactions (3 papers). V Lund collaborates with scholars based in Norway, Bulgaria and United Kingdom. V Lund's co-authors include Bjørn‐Erik Kristiansen, Bjarne Bjorvatn, Helga Mikkelsen, Oddvar Spanne, D. Rickwood, Federico O. Robbiati, Ruth Schmid, Björn Lindqvist, K. O. HOLM and T. JØRGENSEN and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

V Lund

11 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V Lund Norway 9 182 152 139 117 80 11 438
H. Mark Engelking United States 12 302 1.7× 86 0.6× 140 1.0× 29 0.2× 49 0.6× 14 469
Hyun‐Ja Han South Korea 13 525 2.9× 249 1.6× 149 1.1× 98 0.8× 159 2.0× 45 840
Sumin Song South Korea 14 71 0.4× 35 0.2× 229 1.6× 48 0.4× 43 0.5× 39 534
Dani A. C. Heesterbeek Netherlands 8 177 1.0× 110 0.7× 135 1.0× 71 0.6× 67 0.8× 12 454
Benjamin Michel Belgium 8 367 2.0× 39 0.3× 67 0.5× 18 0.2× 176 2.2× 9 516
Eric Daniel Ávila-Calderón Mexico 10 104 0.6× 149 1.0× 165 1.2× 72 0.6× 162 2.0× 11 506
H. M. Atkinson Australia 10 326 1.8× 62 0.4× 108 0.8× 219 1.9× 6 0.1× 14 436
Kyaw Min Aung Sweden 13 179 1.0× 63 0.4× 281 2.0× 80 0.7× 63 0.8× 21 600
Kyoung-Ju Song South Korea 17 93 0.5× 56 0.4× 264 1.9× 275 2.4× 96 1.2× 29 616
Ting Luo China 16 180 1.0× 110 0.7× 126 0.9× 16 0.1× 142 1.8× 48 628

Countries citing papers authored by V Lund

Since Specialization
Citations

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

Fields of papers citing papers by V Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Lund

This figure shows the co-authorship network connecting the top 25 collaborators of V Lund. A scholar is included among the top collaborators of V Lund 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 V Lund. V Lund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gulla, Snorre, V Lund, Anja Bråthen Kristoffersen, Henning Sørum, & Duncan J. Colquhoun. (2015). vapA (A‐layer) typing differentiates Aeromonas salmonicida subspecies and identifies a number of previously undescribed subtypes. Journal of Fish Diseases. 39(3). 329–342. 45 indexed citations
2.
Lund, V, Helga Mikkelsen, & Merete Bjørgan Schrøder. (2009). Atypical furunculosis vaccines for Atlantic cod Gadhus morhua: impact of reattached Aeromonas salmonicida A-layer protein on vaccine efficacy. Diseases of Aquatic Organisms. 85(2). 115–122. 4 indexed citations
3.
Lund, V & Helga Mikkelsen. (2004). Genetic diversity among A-proteins of atypical strains of Aeromonas salmonicida. Diseases of Aquatic Organisms. 61(3). 257–262. 23 indexed citations
4.
Lund, V, Sigrun Espelid, & Helga Mikkelsen. (2003). Vaccine efficacy in spotted wolffish Anarhichas minor: relationship to molecular variation in A-layer protein of atypical Aeromonas salmoncida. Diseases of Aquatic Organisms. 56(1). 31–42. 31 indexed citations
5.
Lund, V, et al.. (2002). Assessment of genetic variability and relatedness among atypical Aeromonas salmonicida from marine fishes, using AFLP-fingerprinting. Diseases of Aquatic Organisms. 50(2). 119–126. 20 indexed citations
6.
Lund, V, T. JØRGENSEN, K. O. HOLM, & Guri Eggset. (1991). Humoral immune response in Atlantic salmon, Salmo salar L., to cellular and extracellular antigens of Aeromonas salmonicida. Journal of Fish Diseases. 14(4). 443–452. 57 indexed citations
7.
Nilsen, Rune, V Lund, & K. O. HOLM. (1989). DNA fingerprints in comparative studies of vibrios pathogenic in fish. Bulletin of the European Association of Fish Pathologists. 9(3). 58–60. 2 indexed citations
8.
9.
10.
Bjorvatn, Bjarne, et al.. (1984). Applications of restriction endonuclease fingerprinting of chromosomal DNA of Neisseria meningitidis. Journal of Clinical Microbiology. 19(6). 763–765. 98 indexed citations
11.
Kristiansen, Bjørn‐Erik, Bjarne Bjorvatn, V Lund, Lars Olof Björn, & Eirik Holten. (1984). Differentiation of B15 Strains of Neisseria meningitidis by DNA Restriction Endonuclease Fingerprinting. The Journal of Infectious Diseases. 150(5). 672–677. 41 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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