Vaida Šeputienė
- Molecular Medicine top 2%
- Endocrinology top 5%
- Molecular Biology
- Food Science top 10%
- Pollution top 10%
- Co-authors
- Edita SužiedėlienėModestas RužauskasKęstutis SužiedėlisAlvydas PavilonisÖjar MeleforsHenrik TomeniusStaffan NormarkRita Šiugždinienė
- Topics
- Salmonella and Campylobacter epidemiology (8 papers)Antibiotic Resistance in Bacteria (7 papers)Escherichia coli research studies (7 papers)
In The Last Decade
Vaida Šeputienė
17 papers receiving 402 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 208
- Endocrinology 135
- Molecular Biology 127
- Food Science 90
- Pollution 81
Countries citing papers authored by Vaida Šeputienė
This map shows the geographic impact of Vaida Šeputienė'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 Vaida Šeputienė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaida Šeputienė more than expected).
Fields of papers citing papers by Vaida Šeputienė
This network shows the impact of papers produced by Vaida Šeputienė. 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 Vaida Šeputienė. The network helps show where Vaida Šeputienė may publish in the future.
Co-authorship network of co-authors of Vaida Šeputienė
This figure shows the co-authorship network connecting the top 25 collaborators of Vaida Šeputienė. A scholar is included among the top collaborators of Vaida Šeputienė 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 Vaida Šeputienė. Vaida Šeputienė is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 48 | |
| 3 | 52 | |
| 4 | 29 | |
| 5 | 8 | |
| 6 | THE SITUATION OF ANTIMICROBIAL RESISTANCE OF ENTERIC BACTERIA ISOLATED FROM ANIMAL ORIGIN TO QUINOLONES AND FLUOROQUINOLONES | 7 |
| 7 | 22 | |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | Antimicrobial susceptibility of Escherichia coli isolated from humans and animals. | 1 |
| 12 | Antimicrobial resistance of Enterococcus spp. isolated from livestock in Lithuania. | 14 |
| 13 | 12 | |
| 14 | 58 | |
| 15 | 13 | |
| 16 | Quinolone resistance among Salmonella enterica and Escherichia coli in Lithuania | 12 |
| 17 | 32 | |
| 18 | 67 |
About Vaida Šeputienė
Vaida Šeputienė is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Antibiotic Resistance in Bacteria (7 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Molecular Medicine (208 citations), Endocrinology (135 citations) and Pollution (81 citations). Vaida Šeputienė has collaborated with scholars based in Lithuania and Sweden. Frequent co-authors include Edita Sužiedėlienė, Modestas Ružauskas, Kęstutis Sužiedėlis, Alvydas Pavilonis, Öjar Melefors, Henrik Tomenius, Staffan Normark, Rita Šiugždinienė, Marius Virgailis and Julija Armalytė. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.
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.