Tiago Rodrigues
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Organic Chemistry top 2%
- Pharmacology top 1%
- Materials Chemistry top 10%
- Co-authors
- Gisbert SchneiderPetra SchneiderDaniel RekerRui MoreiraGonçalo J. L. BernardesA. Filipa AlmeidaMichael ReutlingerFrancisca Lopes
- Topics
- Computational Drug Discovery Methods (40 papers)Microbial Natural Products and Biosynthesis (19 papers)Chemical Synthesis and Analysis (17 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- PortugalSwitzerlandUnited Kingdom
In The Last Decade
Tiago Rodrigues
114 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.7k
- Computational Theory and Mathematics 1.2k
- Organic Chemistry 970
- Pharmacology 678
- Materials Chemistry 566
Countries citing papers authored by Tiago Rodrigues
This map shows the geographic impact of Tiago Rodrigues'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 Tiago Rodrigues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiago Rodrigues more than expected).
Fields of papers citing papers by Tiago Rodrigues
This network shows the impact of papers produced by Tiago Rodrigues. 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 Tiago Rodrigues. The network helps show where Tiago Rodrigues may publish in the future.
Co-authorship network of co-authors of Tiago Rodrigues
This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Rodrigues. A scholar is included among the top collaborators of Tiago Rodrigues 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 Tiago Rodrigues. Tiago Rodrigues 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 44 | |
| 9 | 37 | |
| 10 | 7 | |
| 11 | 78 | |
| 12 | 19 | |
| 13 | 75 | |
| 14 | 16 | |
| 15 | 10 | |
| 16 | 19 | |
| 17 | 90 | |
| 18 | 9 | |
| 19 | 11 | |
| 20 | 1 |
About Tiago Rodrigues
Tiago Rodrigues is a scholar working on Toxicology, Computational Theory and Mathematics and Pharmacology, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Microbial Natural Products and Biosynthesis (19 papers) and Chemical Synthesis and Analysis (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Toxicology (149 citations) and Pharmacology (678 citations). Tiago Rodrigues has collaborated with scholars based in Portugal, Switzerland and United Kingdom. Frequent co-authors include Gisbert Schneider, Petra Schneider, Daniel Reker, Rui Moreira, Gonçalo J. L. Bernardes, A. Filipa Almeida, Michael Reutlinger, Francisca Lopes, Sancho Oliveira and Anders Lyhne Christensen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.