Markus Lakemeyer
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Biochemical and Structural Characterization 6
- Genomics and Phylogenetic Studies 2
- Oncology 6
- Peptidase Inhibition and Analysis 6
- Co-authors
- Stephan A. Sieber (11 shared papers)Weining Zhao (2 shared papers)Peter Hammann (2 shared papers)Matthew Bogyo (5 shared papers)Laura J. Keller (4 shared papers)Mathias W. Hackl (4 shared papers)Brett M. Babin (2 shared papers)Herbert Waldmann (3 shared papers)
- Journals
- Angewandte Chemie International Edition (4 papers)Journal of the American Chemical Society (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)The Plant Cell (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Markus Lakemeyer
16 papers receiving 472 citations
Peers
Comparison fields: 5 of 60
- Molecular Medicine 61
- Microbiology 59
- Infectious Diseases 69
- Molecular Biology 262
- Organic Chemistry 107
Countries citing papers authored by Markus Lakemeyer
This map shows the geographic impact of Markus Lakemeyer'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 Lakemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Lakemeyer more than expected).
Fields of papers citing papers by Markus Lakemeyer
This network shows the impact of papers produced by Markus Lakemeyer. 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 Lakemeyer. The network helps show where Markus Lakemeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Lakemeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2015 | 92 | |
| 3 | 2019 | 57 | |
| 4 | 2015 | 41 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 22 | |
| 7 | 2018 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2015 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 |
About Markus Lakemeyer
Markus Lakemeyer is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Infectious Diseases and Biotechnology, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Biochemical and Structural Characterization (6 papers), Click Chemistry and Applications (4 papers), Enzyme Production and Characterization (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Antimicrobial Peptides and Activities (2 papers), Genomics and Phylogenetic Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Medicine (61 citations), Microbiology (59 citations), Infectious Diseases (69 citations), Molecular Biology (262 citations) and Organic Chemistry (107 citations). Markus Lakemeyer has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Stephan A. Sieber, Weining Zhao, Peter Hammann, Matthew Bogyo, Laura J. Keller, Mathias W. Hackl, Brett M. Babin, Herbert Waldmann, Axel Pahl and Iris Antes. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, Methods in enzymology on CD-ROM/Methods in enzymology, The Plant Cell and Nature Chemical Biology.
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.