Anika Wiegard

528 total citations
11 papers, 308 citations indexed

About

Anika Wiegard is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Anika Wiegard has authored 11 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Plant Science and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Anika Wiegard's work include Photosynthetic Processes and Mechanisms (8 papers), Algal biology and biofuel production (4 papers) and Photoreceptor and optogenetics research (3 papers). Anika Wiegard is often cited by papers focused on Photosynthetic Processes and Mechanisms (8 papers), Algal biology and biofuel production (4 papers) and Photoreceptor and optogenetics research (3 papers). Anika Wiegard collaborates with scholars based in Germany, Netherlands and Sweden. Anika Wiegard's co-authors include Ilka M. Axmann, Christian Beck, Nicolas Schmelling, Joost Snijder, Albert J. R. Heck, Annegret Wilde, Robert Lehmann, Friedrich Förster, Philip Lössl and Jürgen M. Plitzko and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anika Wiegard

10 papers receiving 305 citations

Peers

Anika Wiegard

MB

RESE

CMN

PS

EAS

Joseph S. Boyd United States

Megumi Morishita Japan

Yong‐Gang Chang United States

Susan E. Cohen United States

Zhihui He China

Nicolas Schmelling Germany

Sabine Oldemeyer Germany

Risa Mutoh Japan

Naoki Takai Japan

Inga Oberpichler Germany

Joseph S. Boyd United States

Anika Wiegard

310 ×1.3

MB

82 ×1.0

RESE

142 ×1.8

CMN

106 ×1.4

PS

94 ×1.3

EAS

Citations per year, relative to Anika Wiegard Anika Wiegard (= 1×) peers Joseph S. Boyd

Countries citing papers authored by Anika Wiegard

Since Specialization

Citations

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

Fields of papers citing papers by Anika Wiegard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Wiegard

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

All Works

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11 of 11 papers shown

1.

Thumm, Nikolaus, et al.. (2025). Self-sustained rhythmic behavior of Synechocystis sp. PCC 6803 under continuous light conditions in the absence of light–dark entrainment. PNAS Nexus. 4(5). pgaf120–pgaf120.

2.

Schmelling, Nicolas, Anika Wiegard, Alice Pawlowski, et al.. (2024). Two KaiABC systems control circadian oscillations in one cyanobacterium. Nature Communications. 15(1). 7674–7674. 4 indexed citations

3.

Wiegard, Anika, et al.. (2022). TOP1 CAD-seq: A protocol to map catalytically engaged topoisomerase 1 in human cells. STAR Protocols. 3(3). 101581–101581. 3 indexed citations

4.

Wiegard, Anika, Donald P. Cameron, Michele Ceribelli, et al.. (2021). Topoisomerase 1 activity during mitotic transcription favors the transition from mitosis to G1. Molecular Cell. 81(24). 5007–5024.e9. 14 indexed citations

5.

Wiegard, Anika, et al.. (2019). Synechocystis KaiC3 Displays Temperature- and KaiB-Dependent ATPase Activity and Is Important for Growth in Darkness. Journal of Bacteriology. 202(4). 5 indexed citations

6.

Snijder, Joost, Jan M. Schuller, Anika Wiegard, et al.. (2017). Structures of the cyanobacterial circadian oscillator frozen in a fully assembled state. Science. 355(6330). 1181–1184. 76 indexed citations

7.

Schmelling, Nicolas, Robert Lehmann, Paushali Chaudhury, et al.. (2017). Minimal tool set for a prokaryotic circadian clock. BMC Evolutionary Biology. 17(1). 169–169. 46 indexed citations

8.

Axmann, Ilka M., et al.. (2014). Diversity of KaiC-based timing systems in marine Cyanobacteria. Marine Genomics. 14. 3–16. 36 indexed citations

9.

Beck, Christian, Anne Rediger, Robert Lehmann, et al.. (2014). Daily Expression Pattern of Protein-Encoding Genes and Small Noncoding RNAs in Synechocystis sp. Strain PCC 6803. Applied and Environmental Microbiology. 80(17). 5195–5206. 41 indexed citations

10.

Snijder, Joost, Rebecca J. Burnley, Anika Wiegard, et al.. (2014). Insight into cyanobacterial circadian timing from structural details of the KaiB–KaiC interaction. Proceedings of the National Academy of Sciences. 111(4). 1379–1384. 48 indexed citations

11.

Wiegard, Anika, et al.. (2013). Biochemical analysis of three putative KaiC clock proteins from Synechocystis sp. PCC 6803 suggests their functional divergence. Microbiology. 159(Pt_5). 948–958. 35 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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