Martin Lempp
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
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- Bacterial biofilms and quorum sensing
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Gene Regulatory Network Analysis 2
- Protein Structure and Dynamics 1
- Enzyme Catalysis and Immobilization 1
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Hannes Link (7 shared papers)Sven‐Andreas Freibert (1 shared paper)Roland Lill (1 shared paper)Michelle A. Kuntz (1 shared paper)Gert Bange (1 shared paper)Knut Drescher (2 shared papers)Raimo Hartmann (2 shared papers)Hannah Jeckel (2 shared papers)
- Journals
- Nature Communications (2 papers)iScience (1 paper)Metabolic Engineering (1 paper)Nature Microbiology (1 paper)Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Lempp
7 papers receiving 277 citations
Peers
Comparison fields: 5 of 70
- Endocrinology 30
- Molecular Biology 209
- Microbiology 17
- Ecology 65
- Genetics 62
Countries citing papers authored by Martin Lempp
This map shows the geographic impact of Martin Lempp'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 Martin Lempp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lempp more than expected).
Fields of papers citing papers by Martin Lempp
This network shows the impact of papers produced by Martin Lempp. 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 Martin Lempp. The network helps show where Martin Lempp may publish in the future.
Co-authors
The 24 scholars most cited alongside Martin Lempp, 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 | 2019 | 72 | |
| 2 | 2019 | 59 | |
| 3 | 2021 | 53 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 14 |
About Martin Lempp
Martin Lempp is a scholar working on Molecular Biology, Genetics, Ecology, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 7 papers that have together received 279 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Bacterial Genetics and Biotechnology (4 papers), Gene Regulatory Network Analysis (2 papers), Protein Structure and Dynamics (1 paper), Antibiotic Resistance in Bacteria (1 paper), Enzyme Catalysis and Immobilization (1 paper), Vibrio bacteria research studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology (30 citations), Molecular Biology (209 citations), Microbiology (17 citations), Ecology (65 citations) and Genetics (62 citations). Martin Lempp has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hannes Link, Sven‐Andreas Freibert, Roland Lill, Michelle A. Kuntz, Gert Bange, Knut Drescher, Raimo Hartmann, Hannah Jeckel, Francisco Díaz-Pascual and Stefano Donati. Their work appears in journals such as Nature Communications, iScience, Metabolic Engineering, Nature Microbiology and Biological Chemistry.
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.