Meike Burow

6.4k total citations · 1 hit paper
77 papers, 4.6k citations indexed

About

Meike Burow is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Meike Burow has authored 77 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 61 papers in Plant Science and 5 papers in Organic Chemistry. Recurrent topics in Meike Burow's work include Genomics, phytochemicals, and oxidative stress (40 papers), Plant Stress Responses and Tolerance (19 papers) and Photosynthetic Processes and Mechanisms (13 papers). Meike Burow is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (40 papers), Plant Stress Responses and Tolerance (19 papers) and Photosynthetic Processes and Mechanisms (13 papers). Meike Burow collaborates with scholars based in Denmark, Germany and United States. Meike Burow's co-authors include Ute Wittstock, Barbara Ann Halkier, Daniel J. Kliebenstein, Carl Erik Olsen, Jonathan Gershenzon, Tonni Grube Andersen, Hussam Hassan Nour‐Eldin, Birthe B. Kragelund, Sabine Montaut and Ivica Blažević and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Meike Burow

77 papers receiving 4.6k citations

Hit Papers

Glucosinolate structural diversity, identification, chemi... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meike Burow Denmark 39 3.4k 3.3k 351 320 198 77 4.6k
James G. Tokuhisa United States 25 2.5k 0.7× 2.4k 0.7× 210 0.6× 341 1.1× 199 1.0× 37 3.4k
Arthur Germano Fett‐Neto Brazil 39 2.6k 0.8× 2.3k 0.7× 256 0.7× 173 0.5× 200 1.0× 137 4.3k
Paweł Bednarek Poland 38 3.3k 1.0× 5.0k 1.5× 125 0.4× 225 0.7× 269 1.4× 65 6.3k
Steffen Abel United States 44 4.2k 1.2× 6.2k 1.9× 169 0.5× 133 0.4× 153 0.8× 88 7.5k
Ute Wittstock Germany 28 3.0k 0.9× 3.2k 1.0× 466 1.3× 1.0k 3.2× 534 2.7× 55 4.5k
Jutta Ludwig‐Müller Germany 53 3.8k 1.1× 7.4k 2.2× 162 0.5× 192 0.6× 523 2.6× 213 8.6k
Erich Glawischnig Germany 32 2.4k 0.7× 3.1k 0.9× 158 0.5× 349 1.1× 207 1.0× 74 4.2k
Niels Agerbirk Denmark 31 2.3k 0.7× 2.3k 0.7× 503 1.4× 638 2.0× 427 2.2× 59 3.3k
Johan Meijer Sweden 34 1.6k 0.5× 2.0k 0.6× 203 0.6× 232 0.7× 112 0.6× 80 3.5k
Cornelia Göbel Germany 37 1.9k 0.6× 3.0k 0.9× 129 0.4× 673 2.1× 317 1.6× 55 4.2k

Countries citing papers authored by Meike Burow

Since Specialization
Citations

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

Fields of papers citing papers by Meike Burow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meike Burow

This figure shows the co-authorship network connecting the top 25 collaborators of Meike Burow. A scholar is included among the top collaborators of Meike Burow 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 Meike Burow. Meike Burow 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.
Zhang, Liu, et al.. (2023). Glucosinolate Catabolism Maintains Glucosinolate Profiles and Transport in Sulfur-Starved Arabidopsis. Plant and Cell Physiology. 64(12). 1534–1550. 7 indexed citations
2.
Halitschke, Rayko, et al.. (2023). Heterologous expression of PtAAS1 reveals the metabolic potential of the common plant metabolite phenylacetaldehyde for auxin synthesis in planta. Physiologia Plantarum. 175(6). e14078–e14078. 3 indexed citations
3.
Cárdenas, Pablo D., Signe Hillerup Larsen, David I. Pattison, et al.. (2023). Phytoalexins of the crucifer Barbarea vulgaris: Structural profile and correlation with glucosinolate turnover. Phytochemistry. 213. 113742–113742. 5 indexed citations
4.
Burow, Meike, et al.. (2023). Defense priming in cabbage (Brassica oleracea) by insect-pathogenic fungi. Arthropod-Plant Interactions. 17(3). 275–287. 7 indexed citations
5.
Medina, Joaquı́n, et al.. (2020). Arabidopsis thaliana transcription factors MYB28 and MYB29 shape ammonium stress responses by regulating Fe homeostasis. New Phytologist. 229(2). 1021–1035. 52 indexed citations
6.
Katz, Ella, Rammyani Bagchi, Verena Jeschke, et al.. (2020). Diverse Allyl Glucosinolate Catabolites Independently Influence Root Growth and Development. PLANT PHYSIOLOGY. 183(3). 1376–1390. 34 indexed citations
7.
Bergna, Alessandro, Meike Burow, Hans Jørgen Lyngs Jørgensen, et al.. (2020). Insights into the community structure and lifestyle of the fungal root endophytes of tomato by combining amplicon sequencing and isolation approaches with phytohormone profiling. FEMS Microbiology Ecology. 96(5). 40 indexed citations
8.
Hong, Shin‐Young, Daniel Straub, Henrik Brinch‐Pedersen, et al.. (2020). Heterologous microProtein expression identifies LITTLE NINJA, a dominant regulator of jasmonic acid signaling. Proceedings of the National Academy of Sciences. 117(42). 26197–26205. 23 indexed citations
9.
Meyling, Nicolai V., et al.. (2020). Induction and Priming of Plant Defense by Root-Associated Insect-Pathogenic Fungi. Journal of Chemical Ecology. 47(1). 112–122. 24 indexed citations
10.
Bugge, Katrine, et al.. (2019). IDDomainSpotter: Compositional bias reveals domains in long disordered protein regions—Insights from transcription factors. Protein Science. 29(1). 169–183. 17 indexed citations
11.
Durian, Guido, Verena Jeschke, Moona Rahikainen, et al.. (2019). PROTEIN PHOSPHATASE 2A-B′γ Controls Botrytis cinerea Resistance and Developmental Leaf Senescence. PLANT PHYSIOLOGY. 182(2). 1161–1181. 25 indexed citations
12.
Santamaría, M. Estrella, Manuel Martínez, Ana Arnáiz, et al.. (2019). An Arabidopsis TIR-Lectin Two-Domain Protein Confers Defense Properties against Tetranychus urticae. PLANT PHYSIOLOGY. 179(4). 1298–1314. 40 indexed citations
14.
Aghajanzadeh, Tahereh A., et al.. (2019). Copper toxicity affects indolic glucosinolates and gene expression of key enzymes for their biosynthesis in Chinese cabbage. Archives of Agronomy and Soil Science. 66(9). 1288–1301. 18 indexed citations
15.
Blažević, Ivica, Sabine Montaut, Franko Burčul, et al.. (2019). Glucosinolate structural diversity, identification, chemical synthesis and metabolism in plants. Phytochemistry. 169. 112100–112100. 368 indexed citations breakdown →
16.
Kragelund, Birthe B., et al.. (2019). R2R3 MYB Transcription Factors – Functions outside the DNA-Binding Domain. Trends in Plant Science. 24(10). 934–946. 131 indexed citations
17.
Burow, Meike, et al.. (2017). Nitrogen – essential macronutrient and signal controlling flowering time. Physiologia Plantarum. 162(2). 251–260. 44 indexed citations
18.
Nintemann, Sebastian J., et al.. (2017). Localization of the glucosinolate biosynthetic enzymes reveals distinct spatial patterns for the biosynthesis of indole and aliphatic glucosinolates. Physiologia Plantarum. 163(2). 138–154. 52 indexed citations
19.
Payne, Richard, Deyang Xu, Emilien Foureau, et al.. (2017). An NPF transporter exports a central monoterpene indole alkaloid intermediate from the vacuole. Nature Plants. 3(2). 16208–16208. 122 indexed citations
20.

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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