Michael Lammers

2.7k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Michael Lammers is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Michael Lammers has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Michael Lammers's work include Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (9 papers) and Enzyme Structure and Function (7 papers). Michael Lammers is often cited by papers focused on Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (9 papers) and Enzyme Structure and Function (7 papers). Michael Lammers collaborates with scholars based in Germany, United States and United Kingdom. Michael Lammers's co-authors include Alfred Wittinghofer, Rolf Rose, Chunaram Choudhary, Rajat Gupta, Takeo Narita, Mohammad Reza Ahmadian, Michael Weyand, Leo C. James, Andrea Scrima and Heinz Neumann and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Lammers

47 papers receiving 1.9k citations

Hit Papers

DNA Repair Network Analysis Reveals Shieldin as a Key Reg... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lammers Germany 22 1.3k 441 367 159 120 49 1.9k
Jiyuan Ke United States 23 1.4k 1.1× 107 0.2× 213 0.6× 140 0.9× 32 0.3× 40 2.4k
Joseph Fernandez United States 19 1.3k 1.0× 142 0.3× 144 0.4× 188 1.2× 15 0.1× 34 1.9k
Dmitriy Minond United States 22 778 0.6× 193 0.4× 503 1.4× 122 0.8× 12 0.1× 51 1.6k
Shelia D. Thomas United States 21 2.5k 1.9× 87 0.2× 341 0.9× 71 0.4× 34 0.3× 31 3.0k
Jianye Zang China 25 1.8k 1.4× 248 0.6× 186 0.5× 108 0.7× 8 0.1× 76 2.3k
Cristina Prescianotto‐Baschong Switzerland 21 1.9k 1.5× 1.1k 2.5× 73 0.2× 500 3.1× 31 0.3× 34 2.7k
Shuang Liu China 25 1.3k 1.0× 184 0.4× 343 0.9× 183 1.2× 7 0.1× 83 2.2k
Srikumar M. Raja United States 27 1.3k 1.0× 315 0.7× 359 1.0× 199 1.3× 20 0.2× 37 2.4k
Emmanuel Skordalakes United States 29 2.1k 1.6× 161 0.4× 193 0.5× 104 0.7× 31 0.3× 58 2.9k

Countries citing papers authored by Michael Lammers

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lammers

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lammers. A scholar is included among the top collaborators of Michael Lammers 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 Lammers. Michael Lammers 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.
Singh, Abhishek, Leif Steil, Christian Hentschker, et al.. (2025). Staphylococcal SplA and SplB serine proteases target ubiquitin(-like) specific proteases. AMB Express. 15(1). 32–32.
2.
Le, T., Jan Wesche, Dominique Böttcher, et al.. (2025). Identification and Protein Engineering of Galactosidases for the Conversion of Blood Type B to Blood Type O. ChemBioChem. 26(7). e202500072–e202500072. 1 indexed citations
3.
Reder, Alexander, Manuela Gesell Salazar, Laura M. Palma Medina, et al.. (2024). Reduced interleukin-18 secretion by human monocytic cells in response to infections with hyper-virulent Streptococcus pyogenes. Journal of Biomedical Science. 31(1). 26–26. 1 indexed citations
4.
Bayer, Thomas, Gottfried J. Palm, Leona Berndt, et al.. (2024). Strukturaufklärung einer metagenomischen Urethanase und Verbesserung des Hydrolyseprofils durch Protein Engineering. Angewandte Chemie. 136(38). 1 indexed citations
5.
Palm, Gottfried J., et al.. (2024). A Novel C3/C4-Fused Indole Scaffold through Acid-Catalyzed Cascade Reaction. Molecules. 29(13). 3064–3064. 1 indexed citations
6.
Schulze, Sabrina, Leona Berndt, Gottfried J. Palm, et al.. (2022). Diversification by CofC and Control by CofD Govern Biosynthesis and Evolution of Coenzyme F 420 and Its Derivative 3PG-F 420. mBio. 13(1). e0350121–e0350121. 4 indexed citations
7.
Pfaff, Lara, Jian Gao, Zhishuai Li, et al.. (2022). Multiple Substrate Binding Mode-Guided Engineering of a Thermophilic PET Hydrolase. ACS Catalysis. 12(15). 9790–9800. 126 indexed citations
8.
Lammers, Michael. (2021). Post-translational Lysine Ac(et)ylation in Bacteria: A Biochemical, Structural, and Synthetic Biological Perspective. Frontiers in Microbiology. 12. 757179–757179. 22 indexed citations
10.
Hermanns, Thomas, et al.. (2020). An evolutionary approach to systematic discovery of novel deubiquitinases, applied to Legionella. Life Science Alliance. 3(9). e202000838–e202000838. 21 indexed citations
11.
Bera, Sujoy, Elodie De Bruyckere, Min Jeong Kye, et al.. (2020). Autophagy lipidation machinery regulates axonal microtubule dynamics but is dispensable for survival of mammalian neurons. Nature Communications. 11(1). 1535–1535. 30 indexed citations
12.
Gupta, Rajat, David Lyon, Takeo Narita, et al.. (2019). Analysis of human acetylation stoichiometry defines mechanistic constraints on protein regulation. Nature Communications. 10(1). 1055–1055. 133 indexed citations
13.
Lammers, Michael. (2018). Expression and Purification of Site-Specifically Lysine-Acetylated and Natively-Folded Proteins for Biophysical Investigations. Methods in molecular biology. 1728. 169–190. 9 indexed citations
14.
Yin, Guowei, Samuel D. George, Rachel Bagni, et al.. (2017). A KRAS GTPase K104Q Mutant Retains Downstream Signaling by Offsetting Defects in Regulation. Journal of Biological Chemistry. 292(11). 4446–4456. 34 indexed citations
15.
Swaminathan, Karthic, Vivek S. Peche, Christoph S. Clemen, et al.. (2016). Novel Coronin7 interactions with Cdc42 and N-WASP regulate actin organization and Golgi morphology. Scientific Reports. 6(1). 25411–25411. 24 indexed citations
16.
Knyphausen, Philipp, et al.. (2015). Lysine-acetylation as a fundamental regulator of Ran function: Implications for signaling of proteins of the Ras-superfamily. Small GTPases. 6(4). 189–195. 15 indexed citations
17.
Lammers, Michael, et al.. (2011). Criminologisch onderzoek met DNA-sporen|. 32(2). 39. 3 indexed citations
18.
Lammers, Michael, Heinz Neumann, Jason W. Chin, & Leo C. James. (2010). Acetylation regulates Cyclophilin A catalysis, immunosuppression and HIV isomerization. Nature Chemical Biology. 6(5). 331–337. 93 indexed citations
19.
Lammers, Michael, et al.. (2008). Specificity of Interactions between mDia Isoforms and Rho Proteins. Journal of Biological Chemistry. 283(50). 35236–35246. 96 indexed citations
20.
Lammers, Michael, Hannes Nahrstedt, & Friedhelm Meinhardt. (2004). The Bacillus megaterium comE locus encodes a functional DNA uptake protein. Journal of Basic Microbiology. 44(6). 451–458. 9 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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