Kris Simone Tranches Dias
- Pharmacology top 5%
- Organic Chemistry
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Physiology
- Co-authors
- Cláudio ViegasVanessa Silva GontijoMatheus de Freitas SilvaAmanda Latércia Tranches DiasFlávia P. Dias ViegasIhosvany CampsMarcelo Henrique dos SantosLuiz Felipe Leomil Coelho
- Topics
- Cholinesterase and Neurodegenerative Diseases (6 papers)Computational Drug Discovery Methods (5 papers)Alzheimer's disease research and treatments (3 papers)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Kris Simone Tranches Dias
11 papers receiving 439 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 209
- Organic Chemistry 141
- Computational Theory and Mathematics 139
- Molecular Biology 118
- Physiology 88
Countries citing papers authored by Kris Simone Tranches Dias
This map shows the geographic impact of Kris Simone Tranches Dias'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 Kris Simone Tranches Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Simone Tranches Dias more than expected).
Fields of papers citing papers by Kris Simone Tranches Dias
This network shows the impact of papers produced by Kris Simone Tranches Dias. 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 Kris Simone Tranches Dias. The network helps show where Kris Simone Tranches Dias may publish in the future.
Co-authorship network of co-authors of Kris Simone Tranches Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Kris Simone Tranches Dias. A scholar is included among the top collaborators of Kris Simone Tranches Dias 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 Kris Simone Tranches Dias. Kris Simone Tranches Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 92 | |
| 3 | 75 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 146 | |
| 10 | 65 | |
| 11 | 23 |
About Kris Simone Tranches Dias
Kris Simone Tranches Dias is a scholar working on Pharmacology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 11 papers that have together received 443 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (6 papers), Computational Drug Discovery Methods (5 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Pharmacology (209 citations), Computational Theory and Mathematics (139 citations) and Complementary and alternative medicine (43 citations). Kris Simone Tranches Dias has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Cláudio Viegas, Vanessa Silva Gontijo, Matheus de Freitas Silva, Amanda Latércia Tranches Dias, Flávia P. Dias Viegas, Ihosvany Camps, Marcelo Henrique dos Santos, Luiz Felipe Leomil Coelho, Luciana Azevedo and Susanne U. Mertens‐Talcott. Their work appears in journals such as Food Research International, Current Medicinal Chemistry and Frontiers in Pharmacology.
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.