Teodoro Laino
About
In The Last Decade
Teodoro Laino
92 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Materials Chemistry 2.1k
- Molecular Biology 1.2k
- Computational Theory and Mathematics 1.1k
- Electrical and Electronic Engineering 796
- Biomedical Engineering 722
Countries citing papers authored by Teodoro Laino
This map shows the geographic impact of Teodoro Laino'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 Teodoro Laino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teodoro Laino more than expected).
Fields of papers citing papers by Teodoro Laino
This network shows the impact of papers produced by Teodoro Laino. 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 Teodoro Laino. The network helps show where Teodoro Laino may publish in the future.
Co-authorship network of co-authors of Teodoro Laino
This figure shows the co-authorship network connecting the top 25 collaborators of Teodoro Laino. A scholar is included among the top collaborators of Teodoro Laino 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 Teodoro Laino. Teodoro Laino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 61 | |
| 13 | 170 | |
| 14 | 52 | |
| 15 | CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models | 30 |
| 16 | Advanced Data-Driven Manufacturing. | 1 |
| 17 | 99 | |
| 18 | 22 | |
| 19 | 371 | |
| 20 | 47 |
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.