Hanna E. Sidjabat
- Molecular Medicine top 0.05%
- Endocrinology top 0.1%
- Epidemiology top 2%
- Molecular Biology top 10%
- Pollution top 1%
- Co-authors
- David L. PatersonBenjamin A. RogersJennifer Adams‐HaduchYohei DoiGraeme R. NimmoA. William PasculleJian LiBrian A. Potoski
- Topics
- Antibiotic Resistance in Bacteria (69 papers)Vibrio bacteria research studies (17 papers)Pharmaceutical and Antibiotic Environmental Impacts (16 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Hanna E. Sidjabat
90 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Medicine 3.2k
- Endocrinology 1.7k
- Epidemiology 1.0k
- Molecular Biology 774
- Pollution 766
Countries citing papers authored by Hanna E. Sidjabat
This map shows the geographic impact of Hanna E. Sidjabat'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 Hanna E. Sidjabat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanna E. Sidjabat more than expected).
Fields of papers citing papers by Hanna E. Sidjabat
This network shows the impact of papers produced by Hanna E. Sidjabat. 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 Hanna E. Sidjabat. The network helps show where Hanna E. Sidjabat may publish in the future.
Co-authorship network of co-authors of Hanna E. Sidjabat
This figure shows the co-authorship network connecting the top 25 collaborators of Hanna E. Sidjabat. A scholar is included among the top collaborators of Hanna E. Sidjabat 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 Hanna E. Sidjabat. Hanna E. Sidjabat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | Draft Genome Sequence of Roseomonas mucosa Strain AU37, Isolated from a Peripheral Intravenous Catheter | 0 |
| 7 | 57 | |
| 8 | 5 | |
| 9 | 49 | |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 45 | |
| 14 | Escherichia coli O25b-ST131: a pandemic, multiresistant, community-associated strainbreakdown → | 578 |
| 15 | 115 | |
| 16 | 109 | |
| 17 | 2 | |
| 18 | 51 | |
| 19 | 13 | |
| 20 | 41 |
About Hanna E. Sidjabat
Hanna E. Sidjabat is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 91 papers that have together received 4.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (69 papers), Vibrio bacteria research studies (17 papers) and Pharmaceutical and Antibiotic Environmental Impacts (16 papers). The work is most often cited by research in Molecular Medicine (3.2k citations), Endocrinology (1.7k citations) and Applied Microbiology and Biotechnology (452 citations). Hanna E. Sidjabat has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David L. Paterson, Benjamin A. Rogers, Jennifer Adams‐Haduch, Yohei Doi, Graeme R. Nimmo, A. William Pasculle, Jian Li, Brian A. Potoski, Mark A. Schembri and Roger L. Nation. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.