Janet K. Hatt
- Ecology top 5%
- Molecular Biology
- Pollution top 2%
- Health, Toxicology and Mutagenesis top 5%
- Environmental Chemistry top 5%
- Co-authors
- Konstantinos T. KonstantinidisLuis M. Rodriguez‐RPhilip N. RatherMinjae KimMichael R. WeigandFrank E. LöfflerSpyros G. PavlostathisUlaş Tezel
- Topics
- Microbial Community Ecology and Physiology (25 papers)Microbial bioremediation and biosurfactants (13 papers)Genomics and Phylogenetic Studies (11 papers)
- Cited by
- PollutionEcologyMolecular Medicine
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesSpainAustria
In The Last Decade
Janet K. Hatt
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Ecology 630
- Molecular Biology 620
- Pollution 455
- Health, Toxicology and Mutagenesis 221
- Environmental Chemistry 215
Countries citing papers authored by Janet K. Hatt
This map shows the geographic impact of Janet K. Hatt'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 Janet K. Hatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet K. Hatt more than expected).
Fields of papers citing papers by Janet K. Hatt
This network shows the impact of papers produced by Janet K. Hatt. 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 Janet K. Hatt. The network helps show where Janet K. Hatt may publish in the future.
Co-authorship network of co-authors of Janet K. Hatt
This figure shows the co-authorship network connecting the top 25 collaborators of Janet K. Hatt. A scholar is included among the top collaborators of Janet K. Hatt 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 Janet K. Hatt. Janet K. Hatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 8 | |
| 14 | 28 | |
| 15 | 21 | |
| 16 | 27 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 65 | |
| 20 | 28 |
About Janet K. Hatt
Janet K. Hatt is a scholar working on Pollution, Ecology and Endocrinology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (25 papers), Microbial bioremediation and biosurfactants (13 papers) and Genomics and Phylogenetic Studies (11 papers). The work is most often cited by research in Pollution (455 citations), Ecology (630 citations) and Molecular Medicine (111 citations). Janet K. Hatt has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Konstantinos T. Konstantinidis, Luis M. Rodriguez‐R, Philip N. Rather, Minjae Kim, Michael R. Weigand, Frank E. Löffler, Spyros G. Pavlostathis, Ulaş Tezel, Despina Tsementzi and Alexandra Meziti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.