Tadas S. Vasaitis
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Organic Chemistry top 10%
- Co-authors
- Vincent C.O. NjarRobert D. BrunoLalji K. GediyaAngela BrodiePankaj ChopraPuranik PurushottamacharZhiyong GuoVenkatesh Handratta
- Topics
- Prostate Cancer Treatment and Research (14 papers)Estrogen and related hormone effects (11 papers)Hormonal and reproductive studies (6 papers)
- Partner nations
- United StatesPortugalTürkiye
In The Last Decade
Tadas S. Vasaitis
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 525
- Pulmonary and Respiratory Medicine 445
- Genetics 384
- Endocrinology, Diabetes and Metabolism 307
- Organic Chemistry 192
Countries citing papers authored by Tadas S. Vasaitis
This map shows the geographic impact of Tadas S. Vasaitis'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 Tadas S. Vasaitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadas S. Vasaitis more than expected).
Fields of papers citing papers by Tadas S. Vasaitis
This network shows the impact of papers produced by Tadas S. Vasaitis. 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 Tadas S. Vasaitis. The network helps show where Tadas S. Vasaitis may publish in the future.
Co-authorship network of co-authors of Tadas S. Vasaitis
This figure shows the co-authorship network connecting the top 25 collaborators of Tadas S. Vasaitis. A scholar is included among the top collaborators of Tadas S. Vasaitis 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 Tadas S. Vasaitis. Tadas S. Vasaitis 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 | 26 | |
| 3 | 34 | |
| 4 | 83 | |
| 5 | 21 | |
| 6 | C16 and C17-heterocycle bearing androstanes. CYP17 inhibition studies and multiple effects on prostate cancer cells | 2 |
| 7 | 57 | |
| 8 | 161 | |
| 9 | 28 | |
| 10 | 26 | |
| 11 | 23 | |
| 12 | 21 | |
| 13 | 31 | |
| 14 | 111 | |
| 15 | 36 | |
| 16 | 19 | |
| 17 | 117 | |
| 18 | 209 | |
| 19 | 40 | |
| 20 | 70 |
About Tadas S. Vasaitis
Tadas S. Vasaitis is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (14 papers), Estrogen and related hormone effects (11 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (307 citations), Pharmacology (159 citations) and Genetics (384 citations). Tadas S. Vasaitis has collaborated with scholars based in United States, Portugal and Türkiye. Frequent co-authors include Vincent C.O. Njar, Robert D. Bruno, Lalji K. Gediya, Angela Brodie, Pankaj Chopra, Puranik Purushottamachar, Zhiyong Guo, Venkatesh Handratta, Aakanksha Khandelwal and Aashvini Belosay. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Journal of Nutrition.
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.