Thalia I. Nicas
- Molecular Biology top 5%
- Molecular Medicine top 0.5%
- Infectious Diseases top 2%
- Genetics top 5%
- Pharmacology top 1%
- Co-authors
- Robert E. W. HancockBarbara H. IglewskiNorris E. AllenR. C. ThompsonDEBORAH L. MULLENJohn H. GriffinDavid A. PrestonAdriano Malabarba
- Topics
- Antimicrobial Resistance in Staphylococcus (14 papers)Bacterial Genetics and Biotechnology (14 papers)Bacterial biofilms and quorum sensing (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Thalia I. Nicas
48 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Molecular Medicine 929
- Infectious Diseases 733
- Genetics 664
- Pharmacology 626
Countries citing papers authored by Thalia I. Nicas
This map shows the geographic impact of Thalia I. Nicas'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 Thalia I. Nicas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thalia I. Nicas more than expected).
Fields of papers citing papers by Thalia I. Nicas
This network shows the impact of papers produced by Thalia I. Nicas. 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 Thalia I. Nicas. The network helps show where Thalia I. Nicas may publish in the future.
Co-authorship network of co-authors of Thalia I. Nicas
This figure shows the co-authorship network connecting the top 25 collaborators of Thalia I. Nicas. A scholar is included among the top collaborators of Thalia I. Nicas 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 Thalia I. Nicas. Thalia I. Nicas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 28 | |
| 3 | 207 | |
| 4 | 5 | |
| 5 | Biochemical mode of action of vancomycin and history of global clinical vancomycin use | 1 |
| 6 | 45 | |
| 7 | 15 | |
| 8 | 29 | |
| 9 | 32 | |
| 10 | 132 | |
| 11 | Semisynthetic glycopeptide antibiotics derived from LY264826 active against vancomycin-resistant enterococci. | 18 |
| 12 | 151 | |
| 13 | New semisynthetic glycopeptide antibiotics Structure-activity relationship of the N-alkylated disaccharide | 1 |
| 14 | 45 | |
| 15 | 9 | |
| 16 | 15 | |
| 17 | 91 | |
| 18 | 52 | |
| 19 | 2 | |
| 20 | 37 |
About Thalia I. Nicas
Thalia I. Nicas is a scholar working on Molecular Medicine, Microbiology and Infectious Diseases, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (14 papers), Bacterial Genetics and Biotechnology (14 papers) and Bacterial biofilms and quorum sensing (14 papers). The work is most often cited by research in Molecular Medicine (929 citations), Microbiology (446 citations) and Endocrinology (236 citations). Thalia I. Nicas has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Robert E. W. Hancock, Barbara H. Iglewski, Norris E. Allen, R. C. Thompson, DEBORAH L. MULLEN, John H. Griffin, David A. Preston, Adriano Malabarba, Lucy M. Mutharia and Nancy Snyder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.