Makrina Totsika
- Molecular Biology top 5%
- Endocrinology top 0.1%
- Molecular Medicine top 0.2%
- Epidemiology top 2%
- Genetics top 5%
- Co-authors
- Mark A. SchembriAnthony D. VerderosaKathryn E. Fairfull‐SmithScott A. BeatsonMinh‐Duy PhanGlen C. UlettDanilo Gomes MorielMathew Upton
- Topics
- Escherichia coli research studies (54 papers)Antibiotic Resistance in Bacteria (42 papers)Bacterial Genetics and Biotechnology (30 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Makrina Totsika
107 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.0k
- Endocrinology 1.8k
- Molecular Medicine 1.4k
- Epidemiology 1.3k
- Genetics 610
Countries citing papers authored by Makrina Totsika
This map shows the geographic impact of Makrina Totsika'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 Makrina Totsika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makrina Totsika more than expected).
Fields of papers citing papers by Makrina Totsika
This network shows the impact of papers produced by Makrina Totsika. 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 Makrina Totsika. The network helps show where Makrina Totsika may publish in the future.
Co-authorship network of co-authors of Makrina Totsika
This figure shows the co-authorship network connecting the top 25 collaborators of Makrina Totsika. A scholar is included among the top collaborators of Makrina Totsika 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 Makrina Totsika. Makrina Totsika 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 22 | |
| 16 | 17 | |
| 17 | Identification of genes important for growth of asymptomatic bacteriuria Escherichia coli in urine | 39 |
| 18 | 43 | |
| 19 | The Escherichia coli O157:H7 EhaB autotransporter protein binds to laminin and collagen I and induces a serum IgA response in O157:H7 challenged cattle | 1 |
| 20 | UpaG, a new member of the Trimeric Autotransporter family of Adhesins in Uropathogenic Escherichia coli | 5 |
About Makrina Totsika
Makrina Totsika is a scholar working on Endocrinology, Molecular Medicine and Microbiology, having authored 114 papers that have together received 4.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (54 papers), Antibiotic Resistance in Bacteria (42 papers) and Bacterial Genetics and Biotechnology (30 papers). The work is most often cited by research in Endocrinology (1.8k citations), Molecular Medicine (1.4k citations) and Microbiology (424 citations). Makrina Totsika has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Mark A. Schembri, Anthony D. Verderosa, Kathryn E. Fairfull‐Smith, Scott A. Beatson, Minh‐Duy Phan, Glen C. Ulett, Danilo Gomes Moriel, Mathew Upton, Daniël J. Wurpel and Mark Morrison. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.