Markus Langeland

23 total papers · 1.0k total citations
19 papers, 752 citations indexed

About

Markus Langeland is a scholar working on Aquatic Science, Immunology and Molecular Biology. According to data from OpenAlex, Markus Langeland has authored 19 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aquatic Science, 10 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Markus Langeland's work include Aquaculture Nutrition and Growth (14 papers), Aquaculture disease management and microbiota (10 papers) and Reproductive biology and impacts on aquatic species (4 papers). Markus Langeland is often cited by papers focused on Aquaculture Nutrition and Growth (14 papers), Aquaculture disease management and microbiota (10 papers) and Reproductive biology and impacts on aquatic species (4 papers). Markus Langeland collaborates with scholars based in Sweden, Norway and Finland. Markus Langeland's co-authors include Aleksandar Vidaković, Anders Kiessling, Sabine Sampels, Cecilia Lalander, Nils Ewald, David Huyben, Torbjörn Lundh, Jouni Vielma, Ingrid Undeland and Kristina Sundell and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Waste Management.

In The Last Decade

Markus Langeland

18 papers receiving 741 citations

Hit Papers

Fatty acid composition of... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Markus Langeland 477 285 267 160 109 19 752
Maria Messina 336 0.7× 185 0.6× 485 1.8× 257 1.6× 107 1.0× 40 910
Saskia Kröeckel 440 0.9× 295 1.0× 368 1.4× 151 0.9× 44 0.4× 12 702
Silvia Nogales‐Mérida 483 1.0× 264 0.9× 524 2.0× 240 1.5× 73 0.7× 16 823
Leonardo Bruni 517 1.1× 326 1.1× 309 1.2× 130 0.8× 96 0.9× 16 674
Giulia Chemello 250 0.5× 138 0.5× 221 0.8× 72 0.5× 68 0.6× 37 701
Vanda Maria Malfatto 649 1.4× 361 1.3× 301 1.1× 65 0.4× 61 0.6× 27 863
Femi J. Fawole 332 0.7× 170 0.6× 406 1.5× 221 1.4× 76 0.7× 32 674
C. Tomás 219 0.5× 91 0.3× 233 0.9× 107 0.7× 74 0.7× 45 885
Carolina de Haro 535 1.1× 306 1.1× 288 1.1× 68 0.4× 36 0.3× 7 657
Norhidayah Mohd Taufek 266 0.6× 140 0.5× 367 1.4× 189 1.2× 60 0.6× 32 621

Countries citing papers authored by Markus Langeland

Since Specialization
Citations

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

Fields of papers citing papers by Markus Langeland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Langeland

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

All Works

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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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