Michael Staudt

7.0k total citations · 2 hit papers
69 papers, 5.0k citations indexed

About

Michael Staudt is a scholar working on Plant Science, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Michael Staudt has authored 69 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 36 papers in Atmospheric Science and 20 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Michael Staudt's work include Plant responses to elevated CO2 (40 papers), Atmospheric chemistry and aerosols (35 papers) and Plant and animal studies (16 papers). Michael Staudt is often cited by papers focused on Plant responses to elevated CO2 (40 papers), Atmospheric chemistry and aerosols (35 papers) and Plant and animal studies (16 papers). Michael Staudt collaborates with scholars based in France, Germany and Spain. Michael Staudt's co-authors include J. Kesselmeier, Josep Peñuelas, G. Seufert, Nadia Bertin, Serge Rambal, Richard Joffre, Burkhard Frenzel, Ülo Niinemets, Almut Arneth and Uwe Kühn and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Trends in Ecology & Evolution and The Science of The Total Environment.

In The Last Decade

Michael Staudt

67 papers receiving 4.8k citations

Hit Papers

Biogenic Volatile Organic Compounds (VOC): An Overview on... 1999 2026 2008 2017 1999 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Staudt France 32 2.9k 2.6k 1.4k 1.1k 739 69 5.0k
Elina Oksanen Finland 40 3.8k 1.3× 2.4k 0.9× 1.8k 1.3× 455 0.4× 468 0.6× 130 4.8k
Jarmo K. Holopainen Finland 53 5.7k 2.0× 2.7k 1.0× 1.6k 1.2× 2.8k 2.6× 930 1.3× 230 9.8k
Federico Brilli Italy 27 1.8k 0.6× 846 0.3× 885 0.6× 488 0.5× 238 0.3× 52 2.9k
E. Brancaleoni Italy 34 1.3k 0.4× 1.9k 0.7× 738 0.5× 427 0.4× 869 1.2× 62 3.1k
James D. Blande Finland 35 2.4k 0.8× 759 0.3× 345 0.3× 1.4k 1.3× 299 0.4× 103 3.7k
Massimiliano Frattoni Italy 29 1.2k 0.4× 1.7k 0.7× 684 0.5× 380 0.4× 731 1.0× 50 2.7k
Kent O. Burkey United States 32 3.1k 1.1× 1.4k 0.5× 524 0.4× 293 0.3× 452 0.6× 102 3.9k
Markus Riederer Germany 50 6.2k 2.2× 389 0.2× 733 0.5× 995 0.9× 314 0.4× 132 8.0k
Eric Singsaas United States 22 3.5k 1.2× 1.2k 0.5× 2.6k 1.9× 509 0.5× 110 0.1× 27 4.9k
Chunyang Li China 48 4.8k 1.7× 481 0.2× 1.8k 1.3× 870 0.8× 70 0.1× 196 7.0k

Countries citing papers authored by Michael Staudt

Since Specialization
Citations

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

Fields of papers citing papers by Michael Staudt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Staudt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Staudt. A scholar is included among the top collaborators of Michael Staudt 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 Michael Staudt. Michael Staudt 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.
Staudt, Michael, et al.. (2025). Diversity of Volatile Emissions From Cork Oak: Quantity and Quality Vary Independently Across Its Range. Ecology and Evolution. 15(9). e72093–e72093.
2.
Staudt, Michael, et al.. (2023). High chemodiversity in the structural and enantiomeric composition of volatiles emitted by Kermes oak populations in Southern France. Elementa Science of the Anthropocene. 11(1). 3 indexed citations
3.
Barthès, Nicolas, et al.. (2023). Volatile organic compound emissions from almond shoots during spring—dissociation between reproductive and vegetative organs. Comptes Rendus Chimie. 26(S2). 139–154. 1 indexed citations
4.
Loubet, Benjamin, Pauline Buysse, Florence Lafouge, et al.. (2022). Volatile organic compound fluxes over a winter wheat field by PTR-Qi-TOF-MS and eddy covariance. Atmospheric chemistry and physics. 22(4). 2817–2842. 12 indexed citations
5.
Loubet, Benjamin, Pauline Buysse, Florence Lafouge, et al.. (2021). Volatile organic compound fluxes over a winter wheat field byPTR-Qi-TOF-MS and eddy covariance. 1 indexed citations
6.
Piel, Felix, Valérie Gros, François Truong, et al.. (2020). Monoterpene Chemical Speciation with High Time Resolution Using a FastGC/PTR-MS: Results from the COV3ER Experiment on Quercus ilex. Atmosphere. 11(7). 690–690. 7 indexed citations
7.
Conchou, Lucie, Philippe Lucas, Camille Meslin, et al.. (2019). Insect Odorscapes: From Plant Volatiles to Natural Olfactory Scenes. Frontiers in Physiology. 10. 972–972. 149 indexed citations
8.
Song, Weihua, Michael Staudt, Ilann Bourgeois, & Jonathan Williams. (2014). Laboratory and field measurements of enantiomeric monoterpene emissions as a function of chemotype, light and temperature. Biogeosciences. 11(5). 1435–1447. 28 indexed citations
9.
Staudt, Michael, et al.. (2013). Leaf level emissions of volatile organic compounds (VOC) from some Amazonian and Mediterranean plants. Biogeosciences. 10(9). 5855–5873. 43 indexed citations
10.
Staudt, Michael, Anne‐Violette Lavoir, Elena Ormeño, et al.. (2011). Direct and indirect impact of sewage sludge compost spreading on Quercus coccifera monoterpene emissions in a Mediterranean shrubland. Environmental Pollution. 159(4). 963–969. 7 indexed citations
11.
Niinemets, Ülo, Uwe Kühn, P. C. Harley, et al.. (2011). Estimations of isoprenoid emission capacity from enclosure studies: measurements, data processing, quality and standardized measurement protocols. Biogeosciences. 8(8). 2209–2246. 162 indexed citations
13.
Staudt, Michael, et al.. (2011). Monoterpene and sesquiterpene emissions from Quercus coccifera exhibit interacting responses to light and temperature. Biogeosciences. 8(9). 2757–2771. 63 indexed citations
15.
Niinemets, Ülo, Russell K. Monson, Almut Arneth, et al.. (2010). The emission factor of volatile isoprenoids: caveats, model algorithms, response shapes and scaling. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 6 indexed citations
16.
Grote, Rüdiger, et al.. (2010). Process-based simulation of seasonality and drought stress in monoterpene emission models. Biogeosciences. 7(1). 257–274. 22 indexed citations
17.
Niinemets, Ülo, Almut Arneth, Uwe Kühn, et al.. (2010). The emission factor of volatile isoprenoids: stress, acclimation, and developmental responses. Biogeosciences. 7(7). 2203–2223. 144 indexed citations
18.
Staudt, Michael, Jörg‐Peter Schnitzler, Damien Landais, et al.. (2009). Drought reduced monoterpene emissions from Quercus ilex trees: results from a throughfall displacement experiment within a forest ecosystem. 6(1). 863–893. 14 indexed citations
19.
Staudt, Michael, Jörg‐Peter Schnitzler, Damien Landais, et al.. (2009). Drought reduced monoterpene emissions from the evergreen Mediterranean oak Quercus ilex : results from a throughfall displacement experiment. Biogeosciences. 6(7). 1167–1180. 73 indexed citations
20.
Staudt, Michael, et al.. (2001). Intraspecific variability of monoterpene composition emitted by <i>Quercus ile×</i> leaves. Canadian Journal of Forest Research. 31(1). 174–180. 5 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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