Ivo Laros

523 total citations
19 papers, 337 citations indexed

About

Ivo Laros is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Ivo Laros has authored 19 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 8 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Ivo Laros's work include Environmental DNA in Biodiversity Studies (7 papers), Mycorrhizal Fungi and Plant Interactions (6 papers) and Microbial Community Ecology and Physiology (5 papers). Ivo Laros is often cited by papers focused on Environmental DNA in Biodiversity Studies (7 papers), Mycorrhizal Fungi and Plant Interactions (6 papers) and Microbial Community Ecology and Physiology (5 papers). Ivo Laros collaborates with scholars based in Netherlands, Germany and Norway. Ivo Laros's co-authors include G.A. de Groot, Stefan Geisen, Michael Bonkowski, Paul Copini, Bryan S. Griffiths, D. Stone, Pieter A. Zuidema, Lars Hestbjerg Hansen, Mart Vlam and Andrew K. Skidmore and has published in prestigious journals such as Scientific Reports, Proceedings of the Royal Society B Biological Sciences and Environment International.

In The Last Decade

Ivo Laros

18 papers receiving 333 citations

Peers

Ivo Laros

ECOLO

EEBS

Peter Cuneo Australia

Eyen Khoo Malaysia

Brian Douglas United Kingdom

Kor‐jent van Dijk Australia

Marjana Westergren Slovenia

Charalambos Neophytou Austria

Diego Alarcón Chile

Santiago Espinel Spain

Martin R. Bauert Switzerland

Karina Martins Brazil

Peter Cuneo Australia

Ivo Laros

105 ×0.5

ECOLO

68 ×0.5

175 ×1.9

128 ×3.3

EEBS

9 ×0.3

Citations per year, relative to Ivo Laros Ivo Laros (= 1×) peers Peter Cuneo

Countries citing papers authored by Ivo Laros

Since Specialization

Citations

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

Fields of papers citing papers by Ivo Laros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivo Laros

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

All Works

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19 of 19 papers shown

Siegenthaler, Andjin, Andrew K. Skidmore, Marco Heurich, et al.. (2025). Landscape-scale variation in the canopy mycobiome in temperate beech and spruce forest stands explained by leaf water content and elevation. European Journal of Forest Research. 144(3). 443–455. 1 indexed citations

Groot, G.A. de, Andrew K. Skidmore, Andjin Siegenthaler, et al.. (2025). Ground-lying deadwood volume promotes soil beta diversity but not alpha diversity in European temperate forests. Plant and Soil. 515(1). 579–596. 1 indexed citations

Siegenthaler, Andjin, et al.. (2025). Prokaryotic communities as proxies for eukaryotic soil beta diversity in forest ecosystems. Ecological Indicators. 178. 113930–113930.

Siegenthaler, Andjin, Andrew K. Skidmore, Haidi Abdullah, et al.. (2025). Tree vitality predicts plant-pathogenic fungal communities in beech forest canopies. Forest Ecology and Management. 585. 122588–122588. 1 indexed citations

Siegenthaler, Andjin, et al.. (2024). Further reduction in soil bacterial diversity under severe acidification in European temperate forests. European Journal of Soil Science. 75(6). e70005–e70005. 6 indexed citations

Polling, Marcel, Ralph Buij, Ivo Laros, & G.A. de Groot. (2024). Continuous daily sampling of airborne eDNA detects all vertebrate species identified by camera traps. Environmental DNA. 6(4). 13 indexed citations

Siegenthaler, Andjin, et al.. (2024). Forest top canopy bacterial communities are influenced by elevation and host tree traits. Environmental Microbiome. 19(1). 21–21. 10 indexed citations

Schrama, Maarten, Casper W. Quist, G.A. de Groot, et al.. (2023). Cessation of grazing causes biodiversity loss and homogenization of soil food webs. Proceedings of the Royal Society B Biological Sciences. 290(2011). 20231345–20231345. 9 indexed citations

Siegenthaler, Andjin, et al.. (2023). Temperate tree microbiomes: divergent soil and phyllosphere microbial communities share few but dominant taxa. Plant and Soil. 496(1-2). 319–340. 14 indexed citations

10.

Groot, G.A. de, Stefan Geisen, E. R. Jasper Wubs, et al.. (2021). The aerobiome uncovered: Multi-marker metabarcoding reveals potential drivers of turn-over in the full microbial community in the air. Environment International. 154. 106551–106551. 37 indexed citations

11.

Buiteveld, J., Linda Kodde, Ivo Laros, et al.. (2021). Advanced genebank management of genetic resources of European wild apple, Malus sylvestris, using genome-wide SNP array data. Tree Genetics & Genomes. 17(4). 5 indexed citations

12.

Heuvel-Greve, M.J. van den, G.A. de Groot, Ivo Laros, et al.. (2021). Early detection of marine non-indigenous species on Svalbard by DNA metabarcoding of sediment. Polar Biology. 44(4). 653–665. 18 indexed citations

13.

Akhmetzyanov, Linar, Paul Copini, Ute Sass‐Klaassen, et al.. (2020). DNA of centuries-old timber can reveal its origin. Scientific Reports. 10(1). 20316–20316. 15 indexed citations

14.

Paredes-Villanueva, Kathelyn, G.A. de Groot, Ivo Laros, et al.. (2019). Genetic differences among Cedrela odorata sites in Bolivia provide limited potential for fine-scale timber tracing. Tree Genetics & Genomes. 15(3). 9 indexed citations

15.

Vlam, Mart, G.A. de Groot, Arnoud Boom, et al.. (2018). Developing forensic tools for an African timber: Regional origin is revealed by genetic characteristics, but not by isotopic signature. Biological Conservation. 220. 262–271. 38 indexed citations

16.

Griffiths, Bryan S., et al.. (2017). The need for standardisation: Exemplified by a description of the diversity, community structure and ecological indices of soil nematodes. Ecological Indicators. 87. 43–46. 37 indexed citations

17.

Groot, G.A. de, Ivo Laros, & Stefan Geisen. (2016). Molecular Identification of Soil Eukaryotes and Focused Approaches Targeting Protist and Faunal Groups Using High-Throughput Metabarcoding. Methods in molecular biology. 1399. 125–140. 19 indexed citations

18.

Geisen, Stefan, et al.. (2015). Not all are free‐living: high‐throughput DNA metabarcoding reveals a diverse community of protists parasitizing soil metazoa. Molecular Ecology. 24(17). 4556–4569. 103 indexed citations

19.

Groot, G.A. de, et al.. (2014). A tiered approach for high-resolution characterization of the soil faunal community via dna metabarcoding. Socio-Environmental Systems Modeling. 87–87. 1 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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