Mario Lebendiker

2.8k total citations
61 papers, 2.3k citations indexed

About

Mario Lebendiker is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mario Lebendiker has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Genetics. Recurrent topics in Mario Lebendiker's work include Protein purification and stability (10 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Bacterial Genetics and Biotechnology (7 papers). Mario Lebendiker is often cited by papers focused on Protein purification and stability (10 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Bacterial Genetics and Biotechnology (7 papers). Mario Lebendiker collaborates with scholars based in Israel, United Kingdom and Germany. Mario Lebendiker's co-authors include Shimon Schuldiner, Hagit Yerushalmi, Tsafi Danieli, Assaf Friedler, Hadar Amartely, Oded Livnah, Ariel Gaathon, Dorit Granot, Isaiah T. Arkin and William P. Russ and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mario Lebendiker

61 papers receiving 2.2k citations

Peers

Mario Lebendiker
Andrew D. Ferguson United States
Scott Cherry United States
Dirk-Jan Slotboom Netherlands
Timo Glatter Germany
Stephan Wilkens United States
Mario Lebendiker
Citations per year, relative to Mario Lebendiker Mario Lebendiker (= 1×) peers Eric R. Geertsma

Countries citing papers authored by Mario Lebendiker

Since Specialization
Citations

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

Fields of papers citing papers by Mario Lebendiker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Lebendiker

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Lebendiker. A scholar is included among the top collaborators of Mario Lebendiker 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 Mario Lebendiker. Mario Lebendiker 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.
Lebendiker, Mario. (2024). Purification and Quality Control of Recombinant Proteins Expressed in Mammalian Cells: A Practical Review. Methods in molecular biology. 2810. 329–353. 4 indexed citations
2.
Marco, Ario de, Nicholas S. Berrow, Mario Lebendiker, et al.. (2021). Quality control of protein reagents for the improvement of research data reproducibility. Nature Communications. 12(1). 2795–2795. 30 indexed citations
3.
Berrow, Nicholas S., Ario de Marco, Mario Lebendiker, et al.. (2021). Quality control of purified proteins to improve data quality and reproducibility: results from a large-scale survey. European Biophysics Journal. 50(3-4). 453–460. 7 indexed citations
4.
Robin, Arthur, Alexander Chemodanov, Mario Lebendiker, et al.. (2021). Fighting SARS-CoV-2 with green seaweed Ulva sp. extract: extraction protocol predetermines crude ulvan extract anti-SARS-CoV-2 inhibition properties in in vitro Vero-E6 cells assay. PeerJ. 9. e12398–e12398. 15 indexed citations
6.
Amartely, Hadar, et al.. (2019). Ion Exchange Chromatography (IEX) Coupled to Multi-angle Light Scattering (MALS) for Protein Separation and Characterization. Journal of Visualized Experiments. 8 indexed citations
7.
Amartely, Hadar, et al.. (2019). Ion Exchange Chromatography (IEX) Coupled to Multi-angle Light Scattering (MALS) for Protein Separation and Characterization. Journal of Visualized Experiments. 1 indexed citations
8.
Amartely, Hadar, et al.. (2019). Characterization of Proteins by Size-Exclusion Chromatography Coupled to Multi-Angle Light Scattering (SEC-MALS). Journal of Visualized Experiments. 76 indexed citations
9.
Shalev, Deborah E., et al.. (2016). Unbound position II in MXCXXC metallochaperone model peptides impacts metal binding mode and reactivity: Distinct similarities to whole proteins. Journal of Inorganic Biochemistry. 159. 29–36. 13 indexed citations
10.
Shalev, Deborah E., Shahar Sukenik, Shahar Rotem‐Bamberger, et al.. (2011). Mechanism of the Interaction between the Intrinsically Disordered C-Terminus of the Pro-Apoptotic ARTS Protein and the Bir3 Domain of XIAP. PLoS ONE. 6(9). e24655–e24655. 17 indexed citations
11.
Siman, Peter, Tal Moyal, Tsafi Danieli, et al.. (2011). Chemical Synthesis and Expression of the HIV‐1 Rev Protein. ChemBioChem. 12(7). 1097–1104. 72 indexed citations
12.
Tabib, Adi, Alon Krispin, Uriel Trahtemberg, et al.. (2009). Thrombospondin-1-N-Terminal Domain Induces a Phagocytic State and Thrombospondin-1-C-Terminal Domain Induces a Tolerizing Phenotype in Dendritic Cells. PLoS ONE. 4(8). e6840–e6840. 13 indexed citations
13.
Benyamini, Hadar, et al.. (2009). The C-terminal domain of the HIV-1 Vif protein is natively unfolded in its unbound state. Protein Engineering Design and Selection. 22(5). 281–287. 23 indexed citations
14.
Diskin, Ron, Mario Lebendiker, David Engelberg, & Oded Livnah. (2006). Structures of p38α Active Mutants Reveal Conformational Changes in L16 Loop that Induce Autophosphorylation and Activation. Journal of Molecular Biology. 365(1). 66–76. 61 indexed citations
15.
Klein, Shoshana, et al.. (2005). Expression and purification of active PKB kinase from Escherichia coli. Protein Expression and Purification. 41(1). 162–169. 15 indexed citations
16.
Listovsky, Tamar, Yifat S. Oren, Hiro Mahbubani, et al.. (2004). Mammalian Cdh1/Fzr mediates its own degradation. The EMBO Journal. 23(7). 1619–1626. 97 indexed citations
17.
Livshits, Leonid, Hana Okhrimenko, Shulamit Cohen, et al.. (2001). Interactions between Adaptor Protein-1 of the Clathrin Coat and Microtubules via Type 1a Microtubule-associated Proteins. Journal of Biological Chemistry. 276(33). 31340–31348. 12 indexed citations
18.
Granot, Dorit, et al.. (1999). Scanning Cysteine Accessibility of EmrE, an H+-coupled Multidrug Transporter from Escherichia coli, Reveals a Hydrophobic Pathway for Solutes. Journal of Biological Chemistry. 274(27). 19480–19486. 94 indexed citations
19.
Lebendiker, Mario & Shimon Schuldiner. (1996). Identification of Residues in the Translocation Pathway of EmrE, a Multidrug Antiporter from Escherichia coli. Journal of Biological Chemistry. 271(35). 21193–21199. 26 indexed citations
20.
Yerushalmi, Hagit, Mario Lebendiker, & Shimon Schuldiner. (1995). EmrE, an Escherichia coli 12-kDa Multidrug Transporter, Exchanges Toxic Cations and H+ and Is Soluble in Organic Solvents. Journal of Biological Chemistry. 270(12). 6856–6863. 272 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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