Markus Lezzi

2.2k total citations
65 papers, 1.7k citations indexed

About

Markus Lezzi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology. According to data from OpenAlex, Markus Lezzi has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 19 papers in Ecology. Recurrent topics in Markus Lezzi's work include Neurobiology and Insect Physiology Research (32 papers), Physiological and biochemical adaptations (13 papers) and Antioxidant Activity and Oxidative Stress (11 papers). Markus Lezzi is often cited by papers focused on Neurobiology and Insect Physiology Research (32 papers), Physiological and biochemical adaptations (13 papers) and Antioxidant Activity and Oxidative Stress (11 papers). Markus Lezzi collaborates with scholars based in Switzerland, United States and Germany. Markus Lezzi's co-authors include Heinrich Kroeger, Vincent C. Henrich, Markus O. Imhof, Martin Vögtli, Barbara J Meyer, Jean‐François Mouillet, Lawrence I. Gilbert, Sandro Rusconi, L Gilbert and Hans M. Eppenberger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Markus Lezzi

65 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Markus Lezzi 876 724 359 299 236 65 1.7k
Margarethe Spindler‐Barth 524 0.6× 697 1.0× 406 1.1× 210 0.7× 167 0.7× 77 1.2k
James H. Sang 632 0.7× 334 0.5× 384 1.1× 282 0.9× 115 0.5× 41 1.3k
Tarlochan S. Dhadialla 978 1.1× 1.2k 1.6× 1.5k 4.2× 678 2.3× 146 0.6× 47 2.7k
Walter G. Goodman 380 0.4× 1.1k 1.5× 927 2.6× 651 2.2× 174 0.7× 64 1.7k
Rolf Ziegler 308 0.4× 690 1.0× 525 1.5× 327 1.1× 220 0.9× 31 1.2k
Masafumi Iwami 975 1.1× 1.2k 1.7× 679 1.9× 631 2.1× 349 1.5× 78 2.3k
Estela L. Arrese 1.2k 1.3× 960 1.3× 1.4k 3.9× 694 2.3× 389 1.6× 41 3.3k
Marcela Nouzová 654 0.7× 676 0.9× 529 1.5× 486 1.6× 101 0.4× 64 1.6k
Lilián E. Canavoso 365 0.4× 581 0.8× 626 1.7× 254 0.8× 172 0.7× 36 1.3k
Alisson M. Gontijo 562 0.6× 365 0.5× 110 0.3× 137 0.5× 123 0.5× 22 1.5k

Countries citing papers authored by Markus Lezzi

Since Specialization
Citations

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

Fields of papers citing papers by Markus Lezzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Lezzi

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Lezzi. A scholar is included among the top collaborators of Markus Lezzi 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 Markus Lezzi. Markus Lezzi 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.
Schlattner, Uwe, Xanthe Vafopoulou, C.G.H. Steel, Robert E. Hormann, & Markus Lezzi. (2006). Non-genomic ecdysone effects and the invertebrate nuclear steroid hormone receptor EcR—new role for an “old” receptor?. Molecular and Cellular Endocrinology. 247(1-2). 64–72. 26 indexed citations
2.
Palli, Subba Reddy, Robert E. Hormann, Uwe Schlattner, & Markus Lezzi. (2005). Ecdysteroid Receptors and their Applications in Agriculture and Medicine. Vitamins and hormones. 73. 59–100. 61 indexed citations
3.
Smagghe, Guy, Tarlochan S. Dhadialla, & Markus Lezzi. (2002). Comparative toxicity and ecdysone receptor affinity of non-steroidal ecdysone agonists and 20-hydroxyecdysone in Chironomus tentans. Insect Biochemistry and Molecular Biology. 32(2). 187–192. 28 indexed citations
4.
Lezzi, Markus, et al.. (2002). Ligand‐induced heterodimerization between the ligand binding domains of the Drosophila ecdysteroid receptor and ultraspiracle. European Journal of Biochemistry. 269(13). 3237–3245. 34 indexed citations
5.
Lezzi, Markus, et al.. (2002). DNA in the centromeric heterochromatin of polytene chromosomes is topologically open. Chromosome Research. 10(3). 201–208. 2 indexed citations
6.
Henrich, Vincent C., Martin Vögtli, Christophe Antoniewski, et al.. (2000). Developmental effects of a chimeric ultraspiracle gene derived from Drosophila and Chironomus. genesis. 28(34). 125–133. 14 indexed citations
7.
Lezzi, Markus, et al.. (1998). Torsional State of DNA in a Transcriptionally Hyperactive Balbiani Ring of Polytene Chromosomes. Chromosome Research. 6(5). 367–378. 3 indexed citations
8.
Lammerding–Köppel, Maria, et al.. (1998). Immunohistochemical localization of ecdysteroid receptor and ultraspiracle in the epithelial cell line from Chironomus tentans (Insecta, Diptera). Tissue and Cell. 30(2). 187–194. 12 indexed citations
9.
Imhof, Markus O., et al.. (1998). High level transactivation by the ecdysone receptor complex at the core recognition motif. Nucleic Acids Research. 26(10). 2407–2414. 58 indexed citations
10.
Vögtli, Martin, et al.. (1997). Expression of EcR and USP inEscherichia coli: Purification and functional studies. Archives of Insect Biochemistry and Physiology. 35(1-2). 59–69. 24 indexed citations
11.
Stocker, Ann Jacob, et al.. (1997). Antibodies against the D-domain of a Chironomus ecdysone receptor protein react with DNA puff sites in Trichosia pubescens. Chromosoma. 106(7). 456–464. 15 indexed citations
12.
Spindler, Klaus‐Dieter, et al.. (1995). Immunological studies on the developmental and chromosomal distribution of ecdysteroid receptor protein in Chironomus tentans. Archives of Insect Biochemistry and Physiology. 30(2-3). 95–114. 20 indexed citations
13.
Imhof, Markus O., Sandro Rusconi, & Markus Lezzi. (1993). Cloning of a Chironomus tentans cDNA encoding a protein (cEcRH) homologous to the Drosophila melanogaster ecdysteroid receptor (dEcR). Insect Biochemistry and Molecular Biology. 23(1). 115–124. 90 indexed citations
14.
Dorsch‐Häsler, Karoline, Beat Lutz, Klaus‐Dieter Spindler, & Markus Lezzi. (1990). Structural and developmental analysis of a gene cloned from the early ecdysterone-inducible puff site, I-18C, in Chironomus tentans. Gene. 96(2). 233–239. 8 indexed citations
15.
Lezzi, Markus, et al.. (1989). Developmental changes in the responsiveness to ecdysterone of chromosome region I-18C of Chironomus tentans. Chromosoma. 98(1). 23–32. 7 indexed citations
16.
Amrein, Kurt E., Karoline Dorsch‐Häsler, Beat Lutz, & Markus Lezzi. (1988). Two transcripts of the same ecdysterone-controlled gene are differentially associated with ribosomes. Gene. 65(2). 277–283. 6 indexed citations
17.
Widmer, R.M., Markus Lezzi, & Th. Koller. (1987). Structural transition in inactive Balbiani ring chromatin of Chironomus during micrococcus nuclease digestion. The EMBO Journal. 6(3). 743–748. 12 indexed citations
18.
Galler, Ricardo, Hidetoshi Saiga, R.M. Widmer, Markus Lezzi, & Jan‐Erik Edström. (1985). Two genes in Balbiani ring 2 with metabolically different 75S transcripts. The EMBO Journal. 4(11). 2977–2982. 27 indexed citations
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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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