Marianne Heum

563 total citations
10 papers, 342 citations indexed

About

Marianne Heum is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Marianne Heum has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Microbiology. Recurrent topics in Marianne Heum's work include Aquaculture disease management and microbiota (8 papers), Identification and Quantification in Food (5 papers) and Microbial infections and disease research (3 papers). Marianne Heum is often cited by papers focused on Aquaculture disease management and microbiota (8 papers), Identification and Quantification in Food (5 papers) and Microbial infections and disease research (3 papers). Marianne Heum collaborates with scholars based in Norway, Sweden and Ireland. Marianne Heum's co-authors include Knut H. Røed, Sigmund Sevatdal, S Høie, Atle Lillehaug, J.L. Larsen, Roar Gudding, David R. Colquhoun, Knut Falk, Terje M. Steınum and Anders Kvellestad and has published in prestigious journals such as Applied and Environmental Microbiology, Fish & Shellfish Immunology and Systematic and Applied Microbiology.

In The Last Decade

Marianne Heum

10 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marianne Heum Norway 9 303 94 85 77 75 10 342
S. M. A. Quiniou United States 8 354 1.2× 61 0.6× 73 0.9× 98 1.3× 108 1.4× 11 419
J. G. Daly Canada 11 288 1.0× 129 1.4× 90 1.1× 63 0.8× 49 0.7× 16 365
Julian C. Thornton Canada 11 242 0.8× 116 1.2× 70 0.8× 86 1.1× 51 0.7× 12 318
Daiku K. SAKAI Japan 12 472 1.6× 103 1.1× 107 1.3× 106 1.4× 173 2.3× 26 556
Lao Haihua China 10 273 0.9× 66 0.7× 128 1.5× 35 0.5× 79 1.1× 21 378
Carmelo S. del Castillo South Korea 13 265 0.9× 59 0.6× 118 1.4× 86 1.1× 61 0.8× 21 409
Taoshan Ai China 14 422 1.4× 41 0.4× 104 1.2× 46 0.6× 127 1.7× 18 507
Houjun Pan China 10 330 1.1× 27 0.3× 83 1.0× 87 1.1× 74 1.0× 21 434
AE Ellis United Kingdom 9 306 1.0× 57 0.6× 58 0.7× 77 1.0× 117 1.6× 9 370
Natha J. Booth United States 12 258 0.9× 113 1.2× 57 0.7× 68 0.9× 92 1.2× 14 397

Countries citing papers authored by Marianne Heum

Since Specialization
Citations

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

Fields of papers citing papers by Marianne Heum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Heum

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

All Works

10 of 10 papers shown
1.
Handeland, Kjell, Rebecca K. Davidson, Hildegunn Viljugrein, et al.. (2019). Elaphostrongylus and Dictyocaulus infections in Norwegian wild reindeer and red deer populations in relation to summer pasture altitude and climate. International Journal for Parasitology Parasites and Wildlife. 10. 188–195. 13 indexed citations
2.
Handeland, Kjell, et al.. (2017). Gammaherpesvirus (Type 1 Ruminant Rhadinovirus) in Muskox (Ovibos moschatus) in Greenland. Journal of Wildlife Diseases. 54(2). 400–402. 1 indexed citations
3.
Steınum, Terje M., et al.. (2010). Microbial and pathological findings in farmed Atlantic salmon Salmo salar with proliferative gill inflammation. Diseases of Aquatic Organisms. 91(3). 201–211. 55 indexed citations
4.
Taksdal, T, et al.. (2009). Experimental transmission of cardiomyopathy syndrome (CMS) in Atlantic salmon Salmo salar. Diseases of Aquatic Organisms. 87(3). 225–234. 44 indexed citations
5.
Høie, S, et al.. (1999). Polymerase Chain Reaction (PCR)-based Typing Analysis of Atypical Isolates of the Fish Pathogen Aeromonas salmonicida. Systematic and Applied Microbiology. 22(3). 403–411. 22 indexed citations
6.
7.
Heum, Marianne, et al.. (1996). Detection ofAeromonas salmonicidaby polymerase chain reaction in Atlantic salmon vaccinated against furunculosis. Fish & Shellfish Immunology. 6(3). 199–206. 16 indexed citations
8.
Røed, Knut H., et al.. (1993). Changes in non-specific immune parameters in Atlantic salmon, Salmo salar L., induced by Aeromonas salmonicida infection. Fish & Shellfish Immunology. 3(4). 253–265. 77 indexed citations
9.
Larsen, J.L., et al.. (1991). Characterization of Vibrio anguillarum and closely related species isolated from farmed fish in Norway. Applied and Environmental Microbiology. 57(9). 2750–2757. 60 indexed citations
10.
Sørum, Henning, et al.. (1990). Plasmid profiling of Vibrio salmonicida for epidemiological studies of cold-water vibriosis in Atlantic salmon (Salmo salar) and cod (Gadus morhua). Applied and Environmental Microbiology. 56(4). 1033–1037. 32 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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