Magnus Wang

741 total citations
27 papers, 526 citations indexed

About

Magnus Wang is a scholar working on Ecology, Insect Science and Food Science. According to data from OpenAlex, Magnus Wang has authored 27 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Insect Science and 8 papers in Food Science. Recurrent topics in Magnus Wang's work include Insect and Pesticide Research (10 papers), Pesticide Residue Analysis and Safety (8 papers) and Pesticide and Herbicide Environmental Studies (7 papers). Magnus Wang is often cited by papers focused on Insect and Pesticide Research (10 papers), Pesticide Residue Analysis and Safety (8 papers) and Pesticide and Herbicide Environmental Studies (7 papers). Magnus Wang collaborates with scholars based in Germany, United States and United Kingdom. Magnus Wang's co-authors include Volker Grimm, Arnd Schreiber, Gerald T. Ankley, Daniel J. Spade, G. Roesijadi, Vincent J. Kramer, Cheryl A. Murphy, Matthew A. Etterson, Julann A. Spromberg and Markus Hecker and has published in prestigious journals such as PLoS ONE, Environmental Pollution and Environmental Toxicology and Chemistry.

In The Last Decade

Magnus Wang

23 papers receiving 494 citations

Peers

Magnus Wang

ECOLO

HTM

POLLU

GENET

NLC

Franz Streissl Italy

Holger K. Schulz Germany

Selwyn Hoeks Netherlands

Aurélie Siberchicot France

Silvia Pieper Germany

V. Lusková Czechia

Katharine C. Parsons United States

Ilaria Bernabò Italy

Jørgen Aagaard Axelsen Denmark

Alexandre Lee France

Franz Streissl Italy

Magnus Wang

227 ×1.1

ECOLO

110 ×0.8

HTM

121 ×1.2

POLLU

79 ×0.9

GENET

85 ×1.1

NLC

Citations per year, relative to Magnus Wang Magnus Wang (= 1×) peers Franz Streissl

Countries citing papers authored by Magnus Wang

Since Specialization

Citations

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

Fields of papers citing papers by Magnus Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magnus Wang

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

All Works

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20 of 20 papers shown

1.

Sprenger, Dennis, et al.. (2024). Availability of pesticide-treated seeds on the soil surface in different crops and countries: A comprehensive data set reflecting modern agronomic practice. Integrated Environmental Assessment and Management. 20(5). 1706–1714.

2.

Bub, Sascha, et al.. (2023). A spatiotemporally explicit modeling approach for more realistic exposure and risk assessment of off-field soil organisms. Integrated Environmental Assessment and Management. 20(1). 263–278.

3.

Sprenger, Dennis, et al.. (2023). Decline of pesticide residue on treated crop seeds: An analysis of comprehensive industry data and implications of the current risk assessment scheme for plant protection products. Integrated Environmental Assessment and Management. 20(1). 239–247.

4.

Baumann, Jenny, et al.. (2022). In silico prediction of dermal absorption from non-dietary exposure to plant protection products. Computational Toxicology. 24. 100242–100242. 6 indexed citations

5.

Wang, Magnus, et al.. (2020). Reduction of variability for the assessment of side effects of toxicants on honeybees and understanding drivers for colony development. PLoS ONE. 15(2). e0229295–e0229295. 7 indexed citations

6.

Wang, Magnus, et al.. (2019). Relevance of body weight effects for the population development of common voles and its significance in regulatory risk assessment of pesticides in the European Union. Environmental Sciences Europe. 31(1). 6 indexed citations

7.

Wang, Magnus, et al.. (2019). Relationship between magnitude of body weight effects and exposure duration in mammalian toxicology studies and implications for ecotoxicological risk assessment. Environmental Sciences Europe. 31(1). 25 indexed citations

8.

Wang, Magnus, et al.. (2018). Dissipation of plant protection products from foliage. Environmental Toxicology and Chemistry. 37(7). 1926–1932. 6 indexed citations

9.

Wang, Magnus, et al.. (2017). Modeling individual movement decisions of brown hare (Lepus europaeus) as a key concept for realistic spatial behavior and exposure: A population model for landscape-level risk assessment. Environmental Toxicology and Chemistry. 36(9). 2299–2307. 8 indexed citations

10.

Schmitt, Walter, Domenica Auteri, Chun Liu, et al.. (2015). An example of population-level risk assessments for small mammals using individual-based population models. Integrated Environmental Assessment and Management. 12(1). 46–57. 9 indexed citations

11.

Wang, Magnus & R Luttik. (2012). Population level risk assessment: practical considerations for evaluation of population models from a risk assessor's perspective. Environmental Sciences Europe. 24(1). 10 indexed citations

12.

Wang, Magnus, et al.. (2011). Regulation (EC) No. 1107/2009 and upcoming challenges for exposure assessment of plant protection products – Harmonisation or national modelling approaches?. Environmental Pollution. 159(12). 3357–3363. 8 indexed citations

13.

Wang, Magnus, et al.. (2008). A simple probabilistic estimation of spray drift—factors determining spray drift and development of a model. Environmental Toxicology and Chemistry. 27(12). 2617–2626. 35 indexed citations

14.

Wang, Magnus & Volker Grimm. (2007). Home range dynamics and population regulation: An individual-based model of the common shrew Sorex araneus. Ecological Modelling. 205(3-4). 397–409. 85 indexed citations

15.

Wang, Magnus & Arnd Schreiber. (2001). The impact of habitat fragmentation and social structure on the population genetics of roe deer (Capreolus capreolus L.) in Central Europe. Heredity. 86(6). 703–715. 50 indexed citations

16.

Wang, Magnus & Arnd Schreiber. (2001). The impact of habitat fragmentation and social structure on the population genetics of roe deer (Capreolus capreolus L.) in Central Europe. Heredity. 86(6). 703–715. 18 indexed citations

17.

Wang, Magnus & Arnd Schreiber. (1999). Population genetics of the woodlouse <i>Porcellio scaber </i>Latr. (Isopoda: Oniscoidea) in central Europe: passive dispersal and postglacial range expansion. Canadian Journal of Zoology. 77(9). 1337–1347. 2 indexed citations

18.

Wang, Magnus & Arnd Schreiber. (1999). Population Differentiation of the Woodlouse Oniscus asellus in Central Europe (Isopoda: Oniscoidea). Journal of Crustacean Biology. 19(2). 301–301. 8 indexed citations

19.

Wang, Magnus & Arnd Schreiber. (1999). POPULATION DIFFERENTIATION OF THE WOODLOUSE ONISCUS ASELLUS IN CENTRAL EUROPE (ISOPODA: ONISCOIDEA). Journal of Crustacean Biology. 19(2). 301–312. 7 indexed citations

20.

Schreiber, Arnd, Magnus Wang, & Werner Kaumanns. (1998). Captive breeding of squirrel monkeys,Saimiri sciureus andSaimiri boliviensis: The problem of hybrid groups. Zoo Biology. 17(2). 95–109. 15 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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