Tobias Kieser
- Molecular Biology top 0.5%
- Pharmacology top 0.05%
- Plant Science top 1%
- Genetics top 1%
- Epidemiology top 2%
- Co-authors
- David A. HopwoodKeith ChaterRachel E. MeltonWilliam R. JacobsKay FowlerBertolt GustGregory L. ChallisScott B. Snapper
- Topics
- RNA and protein synthesis mechanisms (17 papers)Microbial Natural Products and Biosynthesis (16 papers)Plant Disease Resistance and Genetics (16 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Tobias Kieser
51 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 6.6k
- Pharmacology 5.1k
- Plant Science 1.8k
- Genetics 1.8k
- Epidemiology 1.5k
Countries citing papers authored by Tobias Kieser
This map shows the geographic impact of Tobias Kieser'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 Tobias Kieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kieser more than expected).
Fields of papers citing papers by Tobias Kieser
This network shows the impact of papers produced by Tobias Kieser. 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 Tobias Kieser. The network helps show where Tobias Kieser may publish in the future.
Co-authorship network of co-authors of Tobias Kieser
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kieser. A scholar is included among the top collaborators of Tobias Kieser 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 Tobias Kieser. Tobias Kieser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 101 | |
| 2 | PCR-targeted Streptomyces gene replacement identifies a protein domain needed for biosynthesis of the sesquiterpene soil odor geosminbreakdown → | 1266 |
| 3 | 19 | |
| 4 | 33 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 149 | |
| 8 | The ram-dependence of Streptomyces lividans differentiation is bypassed by copper. | 52 |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 23 | |
| 13 | 69 | |
| 14 | 14 | |
| 15 | Isolation and characterization of efficient plasmid transformation mutants of Mycobacterium smegmatisbreakdown → | 1062 |
| 16 | 115 | |
| 17 | 110 | |
| 18 | 50 | |
| 19 | 298 | |
| 20 | 66 |
About Tobias Kieser
Tobias Kieser is a scholar working on Microbiology, Molecular Medicine and Pharmacology, having authored 51 papers that have together received 10.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), Microbial Natural Products and Biosynthesis (16 papers) and Plant Disease Resistance and Genetics (16 papers). The work is most often cited by research in Pharmacology (5.1k citations), Molecular Medicine (915 citations) and Microbiology (125 citations). Tobias Kieser has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include David A. Hopwood, Keith Chater, Rachel E. Melton, William R. Jacobs, Kay Fowler, Bertolt Gust, Gregory L. Challis, Scott B. Snapper, Charles J. Thompson and Shuhaimi Mustafa. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.