Tim Tolker‐Nielsen
- Molecular Biology top 0.1%
- Endocrinology top 0.05%
- Molecular Medicine top 0.05%
- Ecology top 0.5%
- Genetics top 0.5%
- Co-authors
- Søren MolinMichael GivskovLiang YangCynthia B. WhitchurchJohn S. MattickMikkel KlausenSünje Johanna PampOana Ciofu
- Topics
- Bacterial biofilms and quorum sensing (145 papers)Bacterial Genetics and Biotechnology (42 papers)Antibiotic Resistance in Bacteria (35 papers)
In The Last Decade
Tim Tolker‐Nielsen
234 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 14.6k
- Endocrinology 3.5k
- Molecular Medicine 3.4k
- Ecology 3.2k
- Genetics 3.1k
Countries citing papers authored by Tim Tolker‐Nielsen
This map shows the geographic impact of Tim Tolker‐Nielsen'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 Tim Tolker‐Nielsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Tolker‐Nielsen more than expected).
Fields of papers citing papers by Tim Tolker‐Nielsen
This network shows the impact of papers produced by Tim Tolker‐Nielsen. 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 Tim Tolker‐Nielsen. The network helps show where Tim Tolker‐Nielsen may publish in the future.
Co-authorship network of co-authors of Tim Tolker‐Nielsen
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Tolker‐Nielsen. A scholar is included among the top collaborators of Tim Tolker‐Nielsen 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 Tim Tolker‐Nielsen. Tim Tolker‐Nielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 52 | |
| 4 | 9 | |
| 5 | 22 | |
| 6 | 51 | |
| 7 | 13 | |
| 8 | 23 | |
| 9 | 28 | |
| 10 | 71 | |
| 11 | 81 | |
| 12 | 42 | |
| 13 | 371 | |
| 14 | 142 | |
| 15 | A characterization of DNA release in Pseudomonas aeruginosa cultures and biofilmsbreakdown → | 871 |
| 16 | 455 | |
| 17 | Biofilm formation by Pseudomonas aeruginosa wild type, flagella and type IV pili mutantsbreakdown → | 787 |
| 18 | 39 | |
| 19 | 6 | |
| 20 | Recommendation of Reference methods for meat color | 3 |
About Tim Tolker‐Nielsen
Tim Tolker‐Nielsen is a scholar working on Endocrinology, Molecular Medicine and Microbiology, having authored 239 papers that have together received 20.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (145 papers), Bacterial Genetics and Biotechnology (42 papers) and Antibiotic Resistance in Bacteria (35 papers). The work is most often cited by research in Molecular Medicine (3.4k citations), Endocrinology (3.5k citations) and Periodontics (2.1k citations). Tim Tolker‐Nielsen has collaborated with scholars based in Denmark, Singapore and Germany. Frequent co-authors include Søren Molin, Michael Givskov, Liang Yang, Cynthia B. Whitchurch, John S. Mattick, Mikkel Klausen, Sünje Johanna Pamp, Oana Ciofu, Thomas Bjarnsholt and Niels Høiby. Their work appears in journals such as Science, Angewandte Chemie International Edition and Nature Communications.
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.