Ian T. Paulsen
- Molecular Medicine top 0.02%
- Antibiotic Resistance in Bacteria 74
- Endocrinology top 0.1%
- Ecology top 0.2%
- Microbial Community Ecology and Physiology 59
- Bacteriophages and microbial interactions 31
- Molecular Biology top 0.2%
- Genomics and Phylogenetic Studies 49
- Microbial Metabolic Engineering and Bioproduction 28
- RNA and protein synthesis mechanisms 24
- Bacterial biofilms and quorum sensing 23
- Pollution top 0.2%
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- Bacterial Genetics and Biotechnology 61
- Co-authors
- Milton H. SaierRonald A. SkurrayMelissa H. BrownKarl A. HassanSasha G. TetuMichael R. GillingsLiam D. H. ElbourneAnahit Penesyan
- Journals
- Nature (1 paper)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ian T. Paulsen
306 papers receiving 22.2k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Medicine 4.9k
- Endocrinology 2.0k
- Ecology 4.6k
- Molecular Biology 11.5k
- Pollution 1.8k
Countries citing papers authored by Ian T. Paulsen
This map shows the geographic impact of Ian T. Paulsen'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 Ian T. Paulsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian T. Paulsen more than expected).
Fields of papers citing papers by Ian T. Paulsen
This network shows the impact of papers produced by Ian T. Paulsen. 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 Ian T. Paulsen. The network helps show where Ian T. Paulsen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian T. Paulsen, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 27 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 34 | |
| 12 | 2021 | 17 | |
| 13 | 2019 | 22 | |
| 14 | 2018 | 26 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 133 | |
| 17 | 2014 | 17 | |
| 18 | 2013 | 135 | |
| 19 | 2008 | 205 | |
| 20 | 2006 | 94 |
About Ian T. Paulsen
Ian T. Paulsen is a scholar working on Molecular Medicine, Endocrinology and Ecology, having authored 312 papers that have together received 22.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (74 papers), Bacterial Genetics and Biotechnology (61 papers), Microbial Community Ecology and Physiology (59 papers), Genomics and Phylogenetic Studies (49 papers), Bacteriophages and microbial interactions (31 papers), Microbial Metabolic Engineering and Bioproduction (28 papers), RNA and protein synthesis mechanisms (24 papers) and Bacterial biofilms and quorum sensing (23 papers). The work is most often cited by research in Molecular Medicine (4.9k citations), Endocrinology (2.0k citations) and Ecology (4.6k citations). Ian T. Paulsen has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Milton H. Saier, Ronald A. Skurray, Melissa H. Brown, Karl A. Hassan, Sasha G. Tetu, Michael R. Gillings, Liam D. H. Elbourne, Anahit Penesyan, Marek K. Sliwinski and Bart A. Eijkelkamp. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.