Michael Lehmann

1.2k total citations
30 papers, 964 citations indexed

About

Michael Lehmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Michael Lehmann has authored 30 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Michael Lehmann's work include Neurobiology and Insect Physiology Research (19 papers), Genomics and Chromatin Dynamics (5 papers) and Invertebrate Immune Response Mechanisms (5 papers). Michael Lehmann is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Genomics and Chromatin Dynamics (5 papers) and Invertebrate Immune Response Mechanisms (5 papers). Michael Lehmann collaborates with scholars based in Germany, United States and France. Michael Lehmann's co-authors include G. Korge, Thomas Siegmund, Günter Korge, Kirst King‐Jones, Rupali Ugrankar, Jan Koolman, Yanling Liu, Chike Cao, Yan‐Ling Liu and Yanling Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Michael Lehmann

30 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lehmann Germany 18 608 398 171 160 159 30 964
Wendy K. Lockwood United States 6 417 0.7× 324 0.8× 145 0.8× 86 0.5× 151 0.9× 7 803
Michael A. Horner United States 12 913 1.5× 347 0.9× 270 1.6× 156 1.0× 99 0.6× 13 1.3k
Péter Maróy Hungary 21 753 1.2× 485 1.2× 220 1.3× 117 0.7× 223 1.4× 33 1.3k
Nathalie Arquier France 10 361 0.6× 420 1.1× 130 0.8× 55 0.3× 157 1.0× 15 838
Ingo Zinke Germany 7 400 0.7× 351 0.9× 110 0.6× 63 0.4× 310 1.9× 8 963
Jeanette E. Natzle United States 17 603 1.0× 440 1.1× 226 1.3× 98 0.6× 177 1.1× 20 1.1k
James W. Mahaffey United States 17 960 1.6× 228 0.6× 292 1.7× 164 1.0× 118 0.7× 21 1.2k
Maria Carvalho Germany 8 340 0.6× 318 0.8× 126 0.7× 47 0.3× 133 0.8× 8 766
Daojun Cheng China 14 279 0.5× 234 0.6× 92 0.5× 56 0.3× 110 0.7× 29 524
M. Koehler United States 9 328 0.5× 138 0.3× 138 0.8× 96 0.6× 42 0.3× 10 541

Countries citing papers authored by Michael Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lehmann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lehmann. A scholar is included among the top collaborators of Michael Lehmann 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 Michael Lehmann. Michael Lehmann 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.
Lehmann, Michael, et al.. (2020). Nuclear translocation ability of Lipin differentially affects gene expression and survival in fed and fasting Drosophila. Journal of Lipid Research. 61(12). 1720–1732. 12 indexed citations
2.
Lehmann, Michael. (2020). Diverse roles of phosphatidate phosphatases in insect development and metabolism. Insect Biochemistry and Molecular Biology. 133. 103469–103469. 14 indexed citations
3.
Lehmann, Michael. (2017). Endocrine and physiological regulation of neutral fat storage in Drosophila. Molecular and Cellular Endocrinology. 461. 165–177. 39 indexed citations
4.
Lehmann, Michael, et al.. (2008). Genes and biological processes controlled by the Drosophila FOXA orthologue Fork head. Insect Molecular Biology. 17(2). 91–101. 12 indexed citations
5.
Liu, Yanling & Michael Lehmann. (2008). A Genomic Response to the Yeast Transcription Factor GAL4 in Drosophila. Fly. 2(2). 92–98. 17 indexed citations
6.
Lehmann, Michael. (2008). Roles of the FOXA transcription factor Fork head in autophagic developmental cell death. Autophagy. 4(5). 713–714. 2 indexed citations
7.
Liu, Yanling & Michael Lehmann. (2006). FOXO-independent suppression of programmed cell death by the PI3K/Akt signaling pathway in Drosophila. Development Genes and Evolution. 216(9). 531–535. 9 indexed citations
8.
Lehmann, Michael. (2003). Anything else but GAGA: a nonhistone protein complex reshapes chromatin structure. Trends in Genetics. 20(1). 15–22. 74 indexed citations
10.
Lehmann, Michael, Changan Jiang, Y. Tony Ip, & Carl S. Thummel. (2002). AP-1, but not NF-κB, is required for efficient steroid-triggered cell death in Drosophila. Cell Death and Differentiation. 9(5). 581–590. 17 indexed citations
11.
Siegmund, Thomas & Michael Lehmann. (2002). The Drosophila Pipsqueak protein defines a new family of helix-turn-helix DNA-binding proteins. Development Genes and Evolution. 212(3). 152–157. 63 indexed citations
12.
Roth, Gunther, et al.. (1999). Structure and Regulation of the Salivary Gland Secretion Protein Gene Sgs-1 of Drosophila melanogaster. Genetics. 153(2). 753–762. 24 indexed citations
13.
King‐Jones, Kirst, Günter Korge, & Michael Lehmann. (1999). The helix-loop-helix proteins dAP-4 and daughterless bind both in vitro and in vivo to SEBP3 sites required for transcriptional activation of the Drosophila gene Sgs-4. Journal of Molecular Biology. 291(1). 71–82. 25 indexed citations
15.
Hofmann, Annemarie & Michael Lehmann. (1998). The transcriptional switch between the Drosophila genes Pig-1 and Sgs-4 depends on a SEBP1 binding site within a shared enhancer region. Molecular and General Genetics MGG. 259(6). 656–663. 3 indexed citations
16.
Lehmann, Michael, et al.. (1998). The Pipsqueak Protein of Drosophila melanogasterBinds to GAGA Sequences through a Novel DNA-binding Domain. Journal of Biological Chemistry. 273(43). 28504–28509. 75 indexed citations
17.
Lehmann, Michael, et al.. (1997). Two new regulatory elements controlling the Drosophila Sgs-3 gene are potential ecdysone receptor and fork head binding sites. Mechanisms of Development. 62(1). 15–27. 36 indexed citations
18.
Lehmann, Michael. (1996). Drosophila Sgs genes: Stage and tissue specificity of hormone responsiveness. BioEssays. 18(1). 47–54. 51 indexed citations
19.
Lehmann, Michael & Jan Koolman. (1989). Ecdysteroid receptors of the blowfly Calliphora vicina. European Journal of Biochemistry. 181(3). 577–582. 5 indexed citations
20.
Lehmann, Michael & Jan Koolman. (1988). Ecdysteroid receptors of the blowfly Calliphora vicina: Partial purification and characterization of ecdysteroid binding. Molecular and Cellular Endocrinology. 57(3). 239–249. 17 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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