Lea Schroeder

3.3k total citations · 2 hit papers
16 papers, 2.5k citations indexed

About

Lea Schroeder is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Lea Schroeder has authored 16 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Cell Biology. Recurrent topics in Lea Schroeder's work include Fungal and yeast genetics research (5 papers), Microtubule and mitosis dynamics (5 papers) and Photoreceptor and optogenetics research (4 papers). Lea Schroeder is often cited by papers focused on Fungal and yeast genetics research (5 papers), Microtubule and mitosis dynamics (5 papers) and Photoreceptor and optogenetics research (4 papers). Lea Schroeder collaborates with scholars based in United States, Germany and United Kingdom. Lea Schroeder's co-authors include Alan Aderem, Kelly D. Smith, Adrian Ozinsky, Jason D. Fontenot, David M. Underhill, Christopher B. Wilson, Adeline M. Hajjar, Amy E. Ikui, Lue Ping Zhao and Shawn Skerrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Lea Schroeder

16 papers receiving 2.5k citations

Hit Papers

The repertoire for pattern recognition of pathogens by th... 2000 2026 2008 2017 2000 2003 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea Schroeder United States 14 1.7k 639 487 362 230 16 2.5k
Andra B. Schromm Germany 31 1.9k 1.1× 1.1k 1.7× 481 1.0× 794 2.2× 272 1.2× 56 3.3k
Fernando Rock United States 15 1.2k 0.7× 772 1.2× 430 0.9× 326 0.9× 207 0.9× 19 2.5k
Takao Horiuchi Japan 14 2.5k 1.4× 709 1.1× 730 1.5× 369 1.0× 255 1.1× 28 3.6k
Thomas C. Mitchell United States 26 2.7k 1.6× 1.2k 1.9× 584 1.2× 241 0.7× 257 1.1× 46 3.8k
Andrew Lees United States 34 2.1k 1.2× 924 1.4× 899 1.8× 366 1.0× 479 2.1× 90 4.1k
Theo N. Kirkland United States 33 2.0k 1.2× 799 1.3× 1.5k 3.0× 484 1.3× 861 3.7× 75 3.8k
Hans Tapper Sweden 26 868 0.5× 942 1.5× 293 0.6× 374 1.0× 228 1.0× 44 2.4k
João G. Magalhães France 32 2.7k 1.6× 1.8k 2.9× 1.0k 2.1× 279 0.8× 473 2.1× 41 4.5k
Tony Navas United States 14 1.1k 0.6× 1.4k 2.3× 209 0.4× 114 0.3× 198 0.9× 32 2.6k
Tom P. Monie United Kingdom 25 1.1k 0.6× 1.2k 1.9× 293 0.6× 169 0.5× 120 0.5× 45 2.2k

Countries citing papers authored by Lea Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Lea Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Schroeder

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

All Works

16 of 16 papers shown
1.
Schroeder, Lea, et al.. (2024). Coupling and regulation mechanisms of the flavin-dependent halogenase PyrH observed by infrared difference spectroscopy. Journal of Biological Chemistry. 300(4). 107210–107210. 2 indexed citations
2.
Stucki-Buchli, Brigitte, Jessica Rumfeldt, Lea Schroeder, et al.. (2021). Site-by-site tracking of signal transduction in an azidophenylalanine-labeled bacteriophytochrome with step-scan FTIR spectroscopy. Physical Chemistry Chemical Physics. 23(9). 5615–5628. 13 indexed citations
3.
Ismail, Mohamed, Lea Schroeder, Marcel Frese, et al.. (2019). Straightforward Regeneration of Reduced Flavin Adenine Dinucleotide Required for Enzymatic Tryptophan Halogenation. ACS Catalysis. 9(2). 1389–1395. 41 indexed citations
4.
Schroeder, Lea, et al.. (2019). Following local light-induced structure changes and dynamics of the photoreceptor PYP with the thiocyanate IR label. Physical Chemistry Chemical Physics. 21(12). 6622–6634. 14 indexed citations
5.
Schroeder, Lea & Amy E. Ikui. (2019). Tryptophan confers resistance to SDS-associated cell membrane stress in Saccharomyces cerevisiae. PLoS ONE. 14(3). e0199484–e0199484. 40 indexed citations
6.
Ihalainen, Janne A., Emil Gustavsson, Lea Schroeder, et al.. (2018). Chromophore–Protein Interplay during the Phytochrome Photocycle Revealed by Step-Scan FTIR Spectroscopy. Journal of the American Chemical Society. 140(39). 12396–12404. 54 indexed citations
7.
Schroeder, Lea, Marcel Frese, Caroline Müller, Norbert Sewald, & Tilman Kottke. (2018). Photochemically Driven Biocatalysis of Halogenases for the Green Production of Chlorinated Compounds. ChemCatChem. 10(15). 3336–3341. 34 indexed citations
8.
Schroeder, Lea, Sabine Oldemeyer, & Tilman Kottke. (2017). Time-Resolved Infrared Spectroscopy on Plant Cryptochrome—Relevance of Proton Transfer and ATP Binding for Signaling. The Journal of Physical Chemistry A. 122(1). 140–147. 13 indexed citations
9.
Kono, Keiko, Amr Al-Zain, Lea Schroeder, Makoto Nakanishi, & Amy E. Ikui. (2016). Plasma membrane/cell wall perturbation activates a novel cell cycle checkpoint during G1 in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 113(25). 6910–6915. 40 indexed citations
10.
Al-Zain, Amr, et al.. (2015). Cdc6 degradation requires phosphodegron created by GSK-3 and Cdk1 for SCFCdc4recognition inSaccharomyces cerevisiae. Molecular Biology of the Cell. 26(14). 2609–2619. 14 indexed citations
11.
Ikui, Amy E., et al.. (2012). A Yeast GSK-3 Kinase Mck1 Promotes Cdc6 Degradation to Inhibit DNA Re-Replication. PLoS Genetics. 8(12). e1003099–e1003099. 23 indexed citations
12.
Cross, Frederick R., Lea Schroeder, & James Bean. (2007). Phosphorylation of the Sic1 Inhibitor of B-Type Cyclins in Saccharomyces cerevisiae Is Not Essential but Contributes to Cell Cycle Robustness. Genetics. 176(3). 1541–1555. 33 indexed citations
13.
Cross, Frederick R., Lea Schroeder, Martin Kruse, & Katherine Chen. (2005). Quantitative Characterization of a Mitotic Cyclin Threshold Regulating Exit from Mitosis. Molecular Biology of the Cell. 16(5). 2129–2138. 29 indexed citations
14.
Hawn, Thomas R., Annelies Verbon, Kamilla D. Lettinga, et al.. (2003). A Common Dominant TLR5 Stop Codon Polymorphism Abolishes Flagellin Signaling and Is Associated with Susceptibility to Legionnaires' Disease. The Journal of Experimental Medicine. 198(10). 1563–1572. 467 indexed citations breakdown →
15.
Hamerman, Jessica A., Fumitaka Hayashi, Lea Schroeder, et al.. (2002). Serpin 2a Is Induced in Activated Macrophages and Conjugates to a Ubiquitin Homolog. The Journal of Immunology. 168(5). 2415–2423. 81 indexed citations
16.
Ozinsky, Adrian, David M. Underhill, Jason D. Fontenot, et al.. (2000). The repertoire for pattern recognition of pathogens by the innate immune system is defined by cooperation between Toll-like receptors. Proceedings of the National Academy of Sciences. 97(25). 13766–13771. 1642 indexed citations breakdown →

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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