Michael Lerche

631 total citations · 1 hit paper
9 papers, 450 citations indexed

About

Michael Lerche is a scholar working on Molecular Biology, Infectious Diseases and Biomaterials. According to data from OpenAlex, Michael Lerche has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Biomaterials. Recurrent topics in Michael Lerche's work include RNA Interference and Gene Delivery (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Michael Lerche is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Michael Lerche collaborates with scholars based in Sweden, United States and Netherlands. Michael Lerche's co-authors include Federica Sebastiani, Marianna Yanez Arteta, Ryan A. Bragg, Lennart Lindfors, V. Trevor Forsyth, Marité Cárdenas, Sarah Waldie, Lionel Porcar, Charles S. Elmore and Michael Haertlein and has published in prestigious journals such as Nature, Nature Communications and ACS Nano.

In The Last Decade

Michael Lerche

9 papers receiving 444 citations

Hit Papers

Apolipoprotein E Binding Drives Structural and Compositio... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lerche Sweden 6 347 69 49 47 42 9 450
Yunxin Xue China 9 177 0.5× 49 0.7× 36 0.7× 66 1.4× 23 0.5× 26 367
Irena Sieglová Czechia 10 160 0.5× 54 0.8× 35 0.7× 42 0.9× 25 0.6× 18 365
Sze Yi Lau Singapore 5 264 0.8× 78 1.1× 84 1.7× 42 0.9× 19 0.5× 6 446
Ritam Das United States 11 260 0.7× 77 1.1× 61 1.2× 50 1.1× 15 0.4× 24 381
Marco Cavaco Portugal 13 290 0.8× 94 1.4× 16 0.3× 47 1.0× 20 0.5× 28 498
Allison N. DuRoss United States 11 261 0.8× 123 1.8× 46 0.9× 155 3.3× 31 0.7× 15 515
Mohammad Mahmoudi Gomari Iran 13 233 0.7× 66 1.0× 24 0.5× 47 1.0× 68 1.6× 26 405
Xianmin Feng China 11 115 0.3× 36 0.5× 13 0.3× 56 1.2× 56 1.3× 27 319
Edward Cedrone United States 15 336 1.0× 60 0.9× 85 1.7× 50 1.1× 38 0.9× 37 551

Countries citing papers authored by Michael Lerche

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lerche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lerche

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

All Works

9 of 9 papers shown
2.
Liu, Kai, Elisa Lázaro‐Ibáñez, Michael Lerche, et al.. (2024). Reply to: Technical challenges of studying the impact of plasma components on the efficacy of lipid nanoparticles for vaccine and therapeutic applications. Nature Communications. 15(1). 3853–3853. 2 indexed citations
3.
Liu, Kai, Ralf Nilsson, Elisa Lázaro‐Ibáñez, et al.. (2023). Multiomics analysis of naturally efficacious lipid nanoparticle coronas reveals high-density lipoprotein is necessary for their function. Nature Communications. 14(1). 4007–4007. 66 indexed citations
4.
Lerche, Michael, et al.. (2023). An enhanced biophysical screening strategy to investigate the affinity of ASOs for their target RNA. RSC Chemical Biology. 4(12). 1123–1130. 3 indexed citations
5.
Sebastiani, Federica, Marianna Yanez Arteta, Michael Lerche, et al.. (2021). Apolipoprotein E Binding Drives Structural and Compositional Rearrangement of mRNA-Containing Lipid Nanoparticles. ACS Nano. 15(4). 6709–6722. 264 indexed citations breakdown →
6.
Lerche, Michael, et al.. (2021). Solution and Membrane Interaction Dynamics of Mycobacterium tuberculosis Fatty Acyl-CoA Synthetase FadD13. Biochemistry. 60(19). 1520–1532. 2 indexed citations
7.
Srinivas, Vivek, Hugo Lebrette, Daniel Lundin, et al.. (2018). Metal-free ribonucleotide reduction powered by a DOPA radical in Mycoplasma pathogens. Nature. 563(7731). 416–420. 42 indexed citations
8.
Lerche, Michael, et al.. (2017). Structure and Cooperativity of the Cytosolic Domain of the CorA Mg2+ Channel from Escherichia coli. Structure. 25(8). 1175–1186.e4. 11 indexed citations
9.
Lerche, Michael, et al.. (2016). The solution configurations of inactive and activated DntR have implications for thesliding dimer mechanism of LysR transcription factors. Scientific Reports. 6(1). 19988–19988. 37 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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