Leonardo Tenori
- Molecular Biology top 2%
- Physiology top 5%
- Spectroscopy top 1%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Co-authors
- Claudio LuchinatEdoardo SaccentiAlessia VignoliPaola TuranoGaia MeoniVeronica GhiniAbdul‐Hamid EmwasRaja Roy
- Topics
- Metabolomics and Mass Spectrometry Studies (92 papers)Traditional Chinese Medicine Studies (14 papers)Diet and metabolism studies (13 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Leonardo Tenori
129 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 3.1k
- Physiology 778
- Spectroscopy 596
- Cancer Research 456
- Biomedical Engineering 451
Countries citing papers authored by Leonardo Tenori
This map shows the geographic impact of Leonardo Tenori'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 Leonardo Tenori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Tenori more than expected).
Fields of papers citing papers by Leonardo Tenori
This network shows the impact of papers produced by Leonardo Tenori. 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 Leonardo Tenori. The network helps show where Leonardo Tenori may publish in the future.
Co-authorship network of co-authors of Leonardo Tenori
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Tenori. A scholar is included among the top collaborators of Leonardo Tenori 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 Leonardo Tenori. Leonardo Tenori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 47 | |
| 8 | 72 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 74 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 14 | |
| 15 | NMR Spectroscopy for Metabolomics Researchbreakdown → | 721 |
| 16 | 93 | |
| 17 | 276 | |
| 18 | 35 | |
| 19 | 1 | |
| 20 | 33 |
About Leonardo Tenori
Leonardo Tenori is a scholar working on Complementary and alternative medicine, Molecular Biology and Periodontics, having authored 137 papers that have together received 4.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (92 papers), Traditional Chinese Medicine Studies (14 papers) and Diet and metabolism studies (13 papers). The work is most often cited by research in Periodontics (243 citations), Molecular Biology (3.1k citations) and Complementary and alternative medicine (316 citations). Leonardo Tenori has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Claudio Luchinat, Edoardo Saccenti, Alessia Vignoli, Paola Turano, Gaia Meoni, Veronica Ghini, Abdul‐Hamid Emwas, Raja Roy, David S. Wishart and G. A. Nagana Gowda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.