Lenka Kundrat

1.5k total citations
12 papers, 1.1k citations indexed

About

Lenka Kundrat is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Lenka Kundrat has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Lenka Kundrat's work include Porphyrin Metabolism and Disorders (3 papers), Biochemical and Structural Characterization (3 papers) and Peptidase Inhibition and Analysis (3 papers). Lenka Kundrat is often cited by papers focused on Porphyrin Metabolism and Disorders (3 papers), Biochemical and Structural Characterization (3 papers) and Peptidase Inhibition and Analysis (3 papers). Lenka Kundrat collaborates with scholars based in United States, Russia and Belgium. Lenka Kundrat's co-authors include Hidde L. Ploegh, Lynne Regan, Carla P. Guimarães, Annet E. M. Blom, Christopher S. Theile, Martin D. Witte, Günes Bozkurt, Jasper H.L. Claessen, Takeshi Maruyama and Angelina M. Bilate and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Lenka Kundrat

12 papers receiving 1.1k citations

Peers

Lenka Kundrat
Marcello Marelli United States
N. Tochio Japan
Günes Bozkurt United States
Edwin Li United States
Peter C. Fridy United States
T. TOYOKUNI United States
Stephen M. Fuchs United States
Marcello Marelli United States
Lenka Kundrat
Citations per year, relative to Lenka Kundrat Lenka Kundrat (= 1×) peers Marcello Marelli

Countries citing papers authored by Lenka Kundrat

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Kundrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Kundrat

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

All Works

12 of 12 papers shown
1.
Witte, Martin D., Tongfei Wu, Carla P. Guimarães, et al.. (2015). Site-specific protein modification using immobilized sortase in batch and continuous-flow systems. Nature Protocols. 10(3). 508–516. 60 indexed citations
2.
Shi, Jiahai, Lenka Kundrat, Novalia Pishesha, et al.. (2014). Engineered red blood cells as carriers for systemic delivery of a wide array of functional probes. Proceedings of the National Academy of Sciences. 111(28). 10131–10136. 178 indexed citations
3.
Guimarães, Carla P., Martin D. Witte, Christopher S. Theile, et al.. (2013). Site-specific C-terminal and internal loop labeling of proteins using sortase-mediated reactions. Nature Protocols. 8(9). 1787–1799. 269 indexed citations
4.
Sanyal, Sumana, Joseph Ashour, Takeshi Maruyama, et al.. (2013). Type I Interferon Imposes a TSG101/ISG15 Checkpoint at the Golgi for Glycoprotein Trafficking during Influenza Virus Infection. Cell Host & Microbe. 14(5). 510–521. 39 indexed citations
5.
Theile, Christopher S., Martin D. Witte, Annet E. M. Blom, et al.. (2013). Site-specific N-terminal labeling of proteins using sortase-mediated reactions. Nature Protocols. 8(9). 1800–1807. 208 indexed citations
6.
Claessen, Jasper H.L., Lenka Kundrat, & Hidde L. Ploegh. (2011). Protein quality control in the ER: balancing the ubiquitin checkbook. Trends in Cell Biology. 22(1). 22–32. 109 indexed citations
7.
Kundrat, Lenka & Lynne Regan. (2010). Balance between Folding and Degradation for Hsp90-Dependent Client Proteins: A Key Role for CHIP. Biochemistry. 49(35). 7428–7438. 87 indexed citations
8.
Kundrat, Lenka, et al.. (2009). A structural model for the HAT domain of Utp6 incorporating bioinformatics and genetics. Protein Engineering Design and Selection. 22(7). 431–439. 10 indexed citations
9.
Kundrat, Lenka & Lynne Regan. (2009). Identification of Residues on Hsp70 and Hsp90 Ubiquitinated by the Cochaperone CHIP. Journal of Molecular Biology. 395(3). 587–594. 83 indexed citations
10.
Lawrence, Sarah H., et al.. (2008). Shape Shifting Leads to Small-Molecule Allosteric Drug Discovery. Chemistry & Biology. 15(6). 586–596. 55 indexed citations
11.
Bollivar, David W., et al.. (2004). Rhodobacter capsulatus porphobilinogen synthase, a high activity metal ion independent hexamer. BMC Biochemistry. 5(1). 17–17. 20 indexed citations
12.
Kundrat, Lenka, Jacob Martins, Linda Stith, Roland L. Dunbrack, & Eileen K. Jaffe. (2003). A Structural Basis for Half-of-the-sites Metal Binding Revealed in Drosophila melanogaster Porphobilinogen Synthase. Journal of Biological Chemistry. 278(33). 31325–31330. 15 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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