Biliana Lesic
About
In The Last Decade
Biliana Lesic
15 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 956
- Genetics 530
- Molecular Medicine 449
- Endocrinology 372
- Ecology 205
Countries citing papers authored by Biliana Lesic
This map shows the geographic impact of Biliana Lesic'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 Biliana Lesic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biliana Lesic more than expected).
Fields of papers citing papers by Biliana Lesic
This network shows the impact of papers produced by Biliana Lesic. 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 Biliana Lesic. The network helps show where Biliana Lesic may publish in the future.
Co-authorship network of co-authors of Biliana Lesic
This figure shows the co-authorship network connecting the top 25 collaborators of Biliana Lesic. A scholar is included among the top collaborators of Biliana Lesic 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 Biliana Lesic. Biliana Lesic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 24 | |
| 3 | 91 | |
| 4 | 13 | |
| 5 | 76 | |
| 6 | 158 | |
| 7 | 123 | |
| 8 | 177 | |
| 9 | 30 | |
| 10 | 240 | |
| 11 | A rapid and simple method for inactivating chromosomal genes in Yersinia. FEMS Immunol Med Microbiol | 4 |
| 12 | 47 | |
| 13 | 66 | |
| 14 | 201 | |
| 15 | 53 |
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.