Martin H. Entling

8.3k total citations · 1 hit paper
135 papers, 3.5k citations indexed

About

Martin H. Entling is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Ecology. According to data from OpenAlex, Martin H. Entling has authored 135 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Ecology, Evolution, Behavior and Systematics, 73 papers in Insect Science and 55 papers in Ecology. Recurrent topics in Martin H. Entling's work include Plant and animal studies (77 papers), Ecology and Vegetation Dynamics Studies (41 papers) and Insect-Plant Interactions and Control (40 papers). Martin H. Entling is often cited by papers focused on Plant and animal studies (77 papers), Ecology and Vegetation Dynamics Studies (41 papers) and Insect-Plant Interactions and Control (40 papers). Martin H. Entling collaborates with scholars based in Germany, Switzerland and United Kingdom. Martin H. Entling's co-authors include Matthias Albrecht, Jens Schirmel, Katja Jacot, Matthias Tschumi, Radek Michalko, Stano Pekár, Roman Bucher, Félix Herzog, Philippe Jeanneret and Sonja C. Pfister and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Martin H. Entling

128 papers receiving 3.4k citations

Hit Papers

Structure, function and management of semi‐natural habita... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin H. Entling Germany 30 2.0k 1.8k 1.1k 1.0k 908 135 3.5k
Karen Goodell United States 18 1.9k 1.0× 1.2k 0.7× 1.0k 0.9× 1.3k 1.3× 1.1k 1.2× 40 3.3k
Romina Rader Australia 27 1.9k 0.9× 1.1k 0.6× 1.1k 1.0× 599 0.6× 442 0.5× 81 2.7k
Klaus Birkhofer Germany 37 1.9k 1.0× 1.5k 0.8× 1.1k 1.0× 1.2k 1.2× 1.2k 1.3× 133 4.4k
Tatyana A. Rand United States 27 1.9k 1.0× 1.8k 1.0× 1.3k 1.2× 1.3k 1.3× 1.1k 1.2× 67 3.5k
Tatiana Cornelissen Brazil 25 1.5k 0.8× 851 0.5× 1.1k 1.0× 875 0.9× 552 0.6× 75 2.7k
Ingo Graß Germany 30 1.5k 0.8× 779 0.4× 940 0.9× 792 0.8× 936 1.0× 88 3.1k
Tim Diekötter Germany 29 1.8k 0.9× 1.2k 0.6× 800 0.7× 1.2k 1.2× 681 0.8× 67 3.1k
Steven D. Frank United States 34 1.5k 0.8× 1.8k 1.0× 1.1k 1.0× 638 0.6× 1.1k 1.2× 106 3.7k
Gina M. Wimp United States 25 1.7k 0.9× 817 0.4× 798 0.7× 1.3k 1.3× 1.1k 1.3× 52 3.2k
Teja Tscharntke Germany 24 1.8k 0.9× 1.4k 0.7× 1.1k 1.0× 1.6k 1.6× 1.2k 1.4× 34 3.9k

Countries citing papers authored by Martin H. Entling

Since Specialization
Citations

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

Fields of papers citing papers by Martin H. Entling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin H. Entling. 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 Martin H. Entling. The network helps show where Martin H. Entling may publish in the future.

Co-authorship network of co-authors of Martin H. Entling

This figure shows the co-authorship network connecting the top 25 collaborators of Martin H. Entling. A scholar is included among the top collaborators of Martin H. Entling 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 Martin H. Entling. Martin H. Entling 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.
Manfrin, Alessandro, Martin H. Entling, J. H. Hoffmann, et al.. (2025). Cross-ecosystem effects of light pollution and invasive signal crayfish on riparian spiders. Global Ecology and Conservation. 60. e03577–e03577.
2.
Vialatte, Aude, et al.. (2025). Landscape heterogeneity and pesticide reduction favor predation, but also grape infestation by Lobesia botrana. PubMed. 35(4). e70045–e70045. 1 indexed citations
3.
Bundschuh, Mirco, et al.. (2025). Review of the importance of aquatic prey for riparian arthropod predators. Basic and Applied Ecology. 86. 1–10. 2 indexed citations
5.
Hoffmann, Christoph, et al.. (2024). Effect of fungicide sprays on spiders in vineyards. European Journal of Entomology. 121. 19–28. 2 indexed citations
6.
Jungkunst, Hermann F., et al.. (2024). Permaculture enhances carbon stocks, soil quality and biodiversity in Central Europe. Communications Earth & Environment. 5(1). 6 indexed citations
7.
Entling, Martin H., et al.. (2024). Wild Bee Conservation in Viticulture: Effects of Semi‐Natural Habitats, Organic Management, and Fungicide Reduction. Ecology and Evolution. 14(10). e70378–e70378. 1 indexed citations
8.
Link, Moritz, et al.. (2024). Shift in diet composition of a riparian predator along a stream pollution gradient. Proceedings of the Royal Society B Biological Sciences. 291(2035). 20242104–20242104. 1 indexed citations
9.
Entling, Martin H., et al.. (2023). Aquatic-terrestrial transfer of neonicotinoid insecticides in riparian food webs. Journal of Hazardous Materials. 455. 131635–131635. 27 indexed citations
10.
Römbke, Jörg, et al.. (2023). Variation in the Chemical Sensitivity of Earthworms from Field Populations to Imidacloprid and Copper. Environmental Toxicology and Chemistry. 42(4). 939–947. 11 indexed citations
11.
Entling, Martin H., et al.. (2023). Differentiating the effects of organic management, pesticide reduction, and landscape diversification for arthropod conservation in viticulture. Biodiversity and Conservation. 32(8-9). 2637–2653. 7 indexed citations
12.
Entling, Martin H., et al.. (2023). Contrasting effects of vineyard type, soil and landscape factors on ground‐ versus above‐ground‐nesting bees. Journal of Applied Ecology. 60(4). 601–613. 11 indexed citations
13.
14.
Entling, Martin H., et al.. (2022). Using Malaise Traps and Metabarcoding for Biodiversity Assessment in Vineyards: Effects of Weather and Trapping Effort. Insects. 13(6). 507–507. 8 indexed citations
15.
Cuff, Jordan P., Colette Bertrand, Laia Mestre, et al.. (2020). Insights into aphid prey consumption by ladybirds: Optimising field sampling methods and primer design for high throughput sequencing. PLoS ONE. 15(7). e0235054–e0235054. 11 indexed citations
16.
Kempel, Anne, et al.. (2020). Unexpected sensitivity of the highly invasive spider Mermessus trilobatus to soil disturbance in grasslands. Biological Invasions. 23(1). 1–6. 11 indexed citations
17.
Bartual, Agustín M., Louis Sutter, Gionata Bocci, et al.. (2019). The potential of different semi-natural habitats to sustain pollinators and natural enemies in European agricultural landscapes. Agriculture Ecosystems & Environment. 279. 43–52. 93 indexed citations
18.
Schirmel, Jens, et al.. (2018). Landscape complexity promotes hoverflies across different types of semi‐natural habitats in farmland. Journal of Applied Ecology. 55(4). 1747–1758. 60 indexed citations
19.
Entling, Martin H., et al.. (2017). Minimal Pruning and Reduced Plant Protection Promote Predatory Mites in Grapevine. Insects. 8(3). 86–86. 19 indexed citations
20.
Bucher, Roman, et al.. (2015). Sublethal effects of imidacloprid on interactions in a tritrophic system of non-target species. Chemosphere. 132. 152–158. 26 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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