Michael C. Lanz

1.5k total citations
36 papers, 884 citations indexed

About

Michael C. Lanz is a scholar working on Molecular Biology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Michael C. Lanz has authored 36 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cognitive Neuroscience and 7 papers in Psychiatry and Mental health. Recurrent topics in Michael C. Lanz's work include DNA Repair Mechanisms (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Epilepsy research and treatment (6 papers). Michael C. Lanz is often cited by papers focused on DNA Repair Mechanisms (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and Epilepsy research and treatment (6 papers). Michael C. Lanz collaborates with scholars based in United States, Germany and Switzerland. Michael C. Lanz's co-authors include Marcus B. Smolka, Diego Dibitetto, Andreas Schulze‐Bonhage, Bernhard Oehl, Armin Brandt, Jan M. Skotheim, Helmut Hildebrandt, Horst K. Hahn, Joshua E. Elias and Vítor M. Faça and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Michael C. Lanz

35 papers receiving 875 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 C. Lanz United States 16 543 149 96 82 80 36 884
Beverly A. Karpinski United States 18 742 1.4× 109 0.7× 133 1.4× 105 1.3× 40 0.5× 28 1.3k
Jose Galindo United States 7 775 1.4× 67 0.4× 76 0.8× 192 2.3× 17 0.2× 11 1.1k
Michael Andäng Sweden 19 686 1.3× 99 0.7× 60 0.6× 252 3.1× 45 0.6× 32 1.1k
Sara Ricciardi Italy 17 945 1.7× 102 0.7× 81 0.8× 120 1.5× 32 0.4× 32 1.4k
Hans‐Henrik M. Dahl Australia 23 1.2k 2.1× 73 0.5× 51 0.5× 118 1.4× 101 1.3× 51 1.9k
Lachlan A. Jolly Australia 18 881 1.6× 175 1.2× 154 1.6× 97 1.2× 45 0.6× 29 1.2k
Géraldine Ferracci France 19 499 0.9× 157 1.1× 115 1.2× 274 3.3× 29 0.4× 36 1.3k
Leo Tsz On Lee Macao 18 439 0.8× 71 0.5× 157 1.6× 106 1.3× 21 0.3× 46 946
Sharon L. Coleman United Kingdom 18 677 1.2× 96 0.6× 111 1.2× 162 2.0× 58 0.7× 26 1.2k
Els F. Halff United Kingdom 13 696 1.3× 157 1.1× 26 0.3× 189 2.3× 46 0.6× 18 1.1k

Countries citing papers authored by Michael C. Lanz

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Lanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Lanz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Lanz. A scholar is included among the top collaborators of Michael C. Lanz 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 C. Lanz. Michael C. Lanz 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.
Tan, Catherine, Michael C. Lanz, Matthew P. Swaffer, Jan M. Skotheim, & Fred Chang. (2025). Intracellular diffusion in the cytoplasm increases with cell size in fission yeast. Molecular Biology of the Cell. 36(4). ar51–ar51. 1 indexed citations
2.
Lanz, Michael C., et al.. (2024). Effects of midazolam on high‐frequency oscillations in amygdala and hippocampus of epilepsy patients. Epilepsia. 65(4). e55–e60. 1 indexed citations
3.
Mäkelä, Jarno, Alexandros Papagiannakis, Wei-Hsiang Lin, et al.. (2024). Genome concentration limits cell growth and modulates proteome composition in Escherichia coli. eLife. 13. 3 indexed citations
4.
Mäkelä, Jarno, Alexandros Papagiannakis, Wei-Hsiang Lin, et al.. (2024). Genome concentration limits cell growth and modulates proteome composition in Escherichia coli. eLife. 13. 1 indexed citations
5.
6.
Lanz, Michael C., Shuyuan Zhang, Matthew P. Swaffer, et al.. (2024). Genome dilution by cell growth drives starvation-like proteome remodeling in mammalian and yeast cells. Nature Structural & Molecular Biology. 31(12). 1859–1871. 9 indexed citations
7.
8.
Lanz, Michael C., Evgeny Zatulovskiy, Matthew P. Swaffer, et al.. (2022). Increasing cell size remodels the proteome and promotes senescence. Molecular Cell. 82(17). 3255–3269.e8. 108 indexed citations
9.
Zatulovskiy, Evgeny, Michael C. Lanz, Shuyuan Zhang, et al.. (2022). Delineation of proteome changes driven by cell size and growth rate. Frontiers in Cell and Developmental Biology. 10. 980721–980721. 17 indexed citations
10.
Giannattasio, Michele, Michael C. Lanz, Marcus B. Smolka, et al.. (2021). Checkpoint-mediated DNA polymerase ε exonuclease activity curbing counteracts resection-driven fork collapse. Molecular Cell. 81(13). 2778–2792.e4. 17 indexed citations
11.
Bruhn, Christopher, Elisa Ferrari, Michael C. Lanz, et al.. (2020). The Rad53CHK1/CHK2-Spt21NPAT and Tel1ATM axes couple glucose tolerance to histone dosage and subtelomeric silencing. Nature Communications. 11(1). 4154–4154. 15 indexed citations
12.
Shin, Jung‐Ho, Michael C. Lanz, Marcus B. Smolka, & Tobias Dörr. (2020). Characterization of an anti-FLAG antibody binding protein in V. cholerae. Biochemical and Biophysical Research Communications. 528(3). 493–498. 1 indexed citations
13.
Wan, Min, Michael C. Lanz, Vítor M. Faça, et al.. (2019). Deubiquitination of phosphoribosyl-ubiquitin conjugates by phosphodiesterase-domain–containing Legionella effectors. Proceedings of the National Academy of Sciences. 116(47). 23518–23526. 68 indexed citations
14.
Lanz, Michael C., Diego Dibitetto, & Marcus B. Smolka. (2019). DNA damage kinase signaling: checkpoint and repair at 30 years. The EMBO Journal. 38(18). e101801–e101801. 181 indexed citations
15.
Memişoğlu, Gönen, Michael C. Lanz, Vinay V. Eapen, et al.. (2019). Mec1ATR Autophosphorylation and Ddc2ATRIP Phosphorylation Regulates DNA Damage Checkpoint Signaling. Cell Reports. 28(4). 1090–1102.e3. 16 indexed citations
16.
Lanz, Michael C., et al.. (2018). Separable roles for Mec1/ATR in genome maintenance, DNA replication, and checkpoint signaling. Genes & Development. 32(11-12). 822–835. 31 indexed citations
17.
Klein, Jan, et al.. (2009). Comparison of Diffusion Tensor‐Based Tractography and Quantified Brain Atrophy for Analyzing Demyelination and Axonal Loss in MS. Journal of Neuroimaging. 20(4). 334–344. 38 indexed citations
18.
Lanz, Michael C., Horst K. Hahn, & Helmut Hildebrandt. (2007). Brain atrophy and cognitive impairment in multiple sclerosis: a review. Journal of Neurology. 254(S2). II43–II48. 31 indexed citations
19.
Steinig, Jana, et al.. (2007). Breath holding – A rapid eye movement (REM) sleep parasomnia (catathrenia or expiratory groaning). Sleep Medicine. 9(4). 455–456. 8 indexed citations
20.
Zühlke, Christine, et al.. (2003). SCA17 caused by homozygous repeat expansion in TBP due to partial isodisomy 6. European Journal of Human Genetics. 11(8). 629–632. 29 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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