Maria Mittag

7.1k total citations
88 papers, 3.0k citations indexed

About

Maria Mittag is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Maria Mittag has authored 88 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 39 papers in Cellular and Molecular Neuroscience and 35 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Maria Mittag's work include Photoreceptor and optogenetics research (35 papers), Algal biology and biofuel production (35 papers) and Photosynthetic Processes and Mechanisms (33 papers). Maria Mittag is often cited by papers focused on Photoreceptor and optogenetics research (35 papers), Algal biology and biofuel production (35 papers) and Photosynthetic Processes and Mechanisms (33 papers). Maria Mittag collaborates with scholars based in Germany, United States and France. Maria Mittag's co-authors include Volker Wagner, Severin Sasso, Wolfram Weisheit, Tilman Kottke, Arthur Grossman, J. W. Hastings, Christian Hertweck, Claudia Büchel, Carl Hirschie Johnson and Georg Kreimer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Maria Mittag

88 papers receiving 3.0k citations

Peers

Maria Mittag

RESE

CMN

OCEAN

Hideya Fukuzawa Japan

François‐Yves Bouget France

Alfred Batschauer Germany

Mitsunori Katayama Japan

Elizabeth H. Harris United States

Paul Galland Germany

Michael Schroda Germany

Marc Heijde France

Olivier Vallon France

Ilka M. Axmann Germany

Hideya Fukuzawa Japan

Maria Mittag

4.9k ×2.7

1.7k ×1.4

2.2k ×2.0

RESE

609 ×0.8

CMN

630 ×1.4

OCEAN

Citations per year, relative to Maria Mittag Maria Mittag (= 1×) peers Hideya Fukuzawa

Countries citing papers authored by Maria Mittag

Since Specialization

Citations

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

Fields of papers citing papers by Maria Mittag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mittag

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Mittag. A scholar is included among the top collaborators of Maria Mittag 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 Maria Mittag. Maria Mittag 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

Shetty, Prateek, et al.. (2024). Exchange or Eliminate: The Secrets of Algal-Bacterial Relationships. Plants. 13(6). 829–829. 9 indexed citations

Vuong, Trang, Kirstin Scherlach, Anna J. Komor, et al.. (2024). A mutualistic bacterium rescues a green alga from an antagonist. Proceedings of the National Academy of Sciences. 121(15). e2401632121–e2401632121. 5 indexed citations

Petersen, Jan, et al.. (2023). The UV-A Receptor CRY-DASH1 Up- and Downregulates Proteins Involved in Different Plastidial Pathways. Journal of Molecular Biology. 436(5). 168271–168271. 1 indexed citations

Seyfarth, Lydia, Sebastian Götze, Ute A. Hellmich, et al.. (2022). Total Synthesis and Structure Correction of the Cyclic Lipodepsipeptide Orfamide A. Chemistry - A European Journal. 28(20). e202104417–e202104417. 14 indexed citations

Stallforth, Pierre, Maria Mittag, Axel A. Brakhage, Christian Hertweck, & Ute A. Hellmich. (2022). Functional modulation of chemical mediators in microbial communities. Trends in Biochemical Sciences. 48(1). 71–81. 17 indexed citations

Zopf, David, Hak Joong Kim, Michael Schmitt, et al.. (2021). A polyyne toxin produced by an antagonistic bacterium blinds and lyses a Chlamydomonad alga. Proceedings of the National Academy of Sciences. 118(33). 25 indexed citations

Komor, Anna J., Kirstin Scherlach, Fredd Vergara, et al.. (2021). The bacterium Pseudomonas protegens antagonizes the microalga Chlamydomonas reinhardtii using a blend of toxins. Environmental Microbiology. 23(9). 5525–5540. 29 indexed citations

Petersen, Jan, et al.. (2021). The World of Algae Reveals a Broad Variety of Cryptochrome Properties and Functions. Frontiers in Plant Science. 12. 766509–766509. 30 indexed citations

García‐Altares, María, Hanno Schoeler, Kirstin Scherlach, et al.. (2020). Lichen-like association of Chlamydomonas reinhardtii and Aspergillus nidulans protects algal cells from bacteria. The ISME Journal. 14(11). 2794–2805. 32 indexed citations

10.

Westermann, Martin, Martin Lohr, Christian Hertweck, et al.. (2018). A giant type I polyketide synthase participates in zygospore maturation in Chlamydomonas reinhardtii. The Plant Journal. 95(2). 268–281. 23 indexed citations

11.

Sasso, Severin, Herwig Stibor, Maria Mittag, & Arthur Grossman. (2018). From molecular manipulation of domesticated Chlamydomonas reinhardtii to survival in nature. eLife. 7. 130 indexed citations

12.

Maestre‐Reyna, Manuel, et al.. (2018). Structure of the bifunctional cryptochrome aCRY from Chlamydomonas reinhardtii. Nucleic Acids Research. 46(15). 8010–8022. 49 indexed citations

13.

García‐Altares, María, et al.. (2017). Antagonistic bacteria disrupt calcium homeostasis and immobilize algal cells. Nature Communications. 8(1). 1756–1756. 76 indexed citations

14.

Kottke, Tilman, et al.. (2013). News about cryptochrome photoreceptors in algae. Plant Signaling & Behavior. 8(2). e22870–e22870. 23 indexed citations

15.

Wagner, Volker, et al.. (2012). Application of Phosphoproteomics to Find Targets of Casein Kinase 1 in the Flagellum ofChlamydomonas. PubMed. 2012. 1–9. 10 indexed citations

16.

Gundermann, Kathi, Matthias Schmidt, Wolfram Weisheit, Maria Mittag, & Claudia Büchel. (2012). Identification of several sub-populations in the pool of light harvesting proteins in the pennate diatom Phaeodactylum tricornutum. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1827(3). 303–310. 57 indexed citations

17.

Schulze, Thomas G., et al.. (2012). The Heme-Binding Protein SOUL3 of Chlamydomonas reinhardtii Influences Size and Position of the Eyespot. Molecular Plant. 6(3). 931–944. 20 indexed citations

18.

Schulze, Thomas G., et al.. (2010). How the green alga Chlamydomonas reinhardtii keeps time. PROTOPLASMA. 244(1-4). 3–14. 37 indexed citations

19.

Schmidt, Melanie, Ines Heiland, Volker Wagner, et al.. (2006). Proteomic Analysis of the Eyespot of Chlamydomonas reinhardtii Provides Novel Insights into Its Components and Tactic Movements. The Plant Cell. 18(8). 1908–1930. 151 indexed citations

20.

Mittag, Maria. (2001). Circadian rhythms in microalgae. International review of cytology. 206. 213–247. 45 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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