T Leisinger
- Molecular Biology
- Pollution top 2%
- Plant Science top 10%
- Environmental Chemistry top 5%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Alasdair M. CookDavid J. HayzerAlicia M. CookMichael A. KerteszRudolf ScholtzLawrence P. WackettChristine EgliMarianne Weiss
- Topics
- Microbial bioremediation and biosurfactants (5 papers)Amino Acid Enzymes and Metabolism (4 papers)Enzyme Catalysis and Immobilization (4 papers)
- Partner nations
- SwitzerlandJapan
In The Last Decade
T Leisinger
22 papers receiving 805 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 402
- Pollution 366
- Plant Science 182
- Environmental Chemistry 131
- Health, Toxicology and Mutagenesis 119
Countries citing papers authored by T Leisinger
This map shows the geographic impact of T Leisinger'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 T Leisinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Leisinger more than expected).
Fields of papers citing papers by T Leisinger
This network shows the impact of papers produced by T Leisinger. 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 T Leisinger. The network helps show where T Leisinger may publish in the future.
Co-authorship network of co-authors of T Leisinger
This figure shows the co-authorship network connecting the top 25 collaborators of T Leisinger. A scholar is included among the top collaborators of T Leisinger 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 T Leisinger. T Leisinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 96 | |
| 3 | 64 | |
| 4 | 40 | |
| 5 | 52 | |
| 6 | 84 | |
| 7 | Chromosome organization in Pseudomonas aeruginosa. Clustering and scattering of genes specifying four arginine catabolic pathways. | 8 |
| 8 | 39 | |
| 9 | 70 | |
| 10 | 13 | |
| 11 | 24 | |
| 12 | 70 | |
| 13 | 147 | |
| 14 | 6 | |
| 15 | 24 | |
| 16 | 1 | |
| 17 | [Spontaneous mutations in acetic acid bacteria. II. The meaning of mutations in systematics]. | 1 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | [Studies on the systematics and metabolism of acetic acid bacteria]. | 5 |
About T Leisinger
T Leisinger is a scholar working on Pollution, Biochemistry and Pharmaceutical Science, having authored 22 papers that have together received 874 indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (5 papers), Amino Acid Enzymes and Metabolism (4 papers) and Enzyme Catalysis and Immobilization (4 papers). The work is most often cited by research in Pollution (366 citations), Environmental Chemistry (131 citations) and Biochemistry (81 citations). T Leisinger has collaborated with scholars based in Switzerland and Japan. Frequent co-authors include Alasdair M. Cook, David J. Hayzer, Alicia M. Cook, Michael A. Kertesz, Rudolf Scholtz, Lawrence P. Wackett, Christine Egli, Marianne Weiss, Hans H. Locher and Richard Voellmy. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology and FEMS Microbiology Reviews.
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.