Enrico Teardo
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Plant Science top 5%
- Physiology top 10%
- Clinical Biochemistry top 1%
- Co-authors
- Ildikò SzabóAnna RaffaelloRosario RizzutoDiego De StefaniVanessa ChecchettoGiorgio M. GiacomettiLuca CarrarettoElide Formentin
- Topics
- Photosynthetic Processes and Mechanisms (16 papers)Mitochondrial Function and Pathology (12 papers)Photoreceptor and optogenetics research (9 papers)
In The Last Decade
Enrico Teardo
24 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 676
- Plant Science 630
- Physiology 336
- Clinical Biochemistry 288
Countries citing papers authored by Enrico Teardo
This map shows the geographic impact of Enrico Teardo'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 Enrico Teardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Teardo more than expected).
Fields of papers citing papers by Enrico Teardo
This network shows the impact of papers produced by Enrico Teardo. 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 Enrico Teardo. The network helps show where Enrico Teardo may publish in the future.
Co-authorship network of co-authors of Enrico Teardo
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Teardo. A scholar is included among the top collaborators of Enrico Teardo 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 Enrico Teardo. Enrico Teardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | Ion channels in plant bioenergetic organelles chloroplast and mitochondria: from molecular identification to function. | 1 |
| 3 | 43 | |
| 4 | 13 | |
| 5 | 54 | |
| 6 | 116 | |
| 7 | 89 | |
| 8 | 1 | |
| 9 | 401 | |
| 10 | 67 | |
| 11 | 125 | |
| 12 | 36 | |
| 13 | 385 | |
| 14 | 88 | |
| 15 | A forty-kilodalton protein of the inner membrane is the mitochondrial calcium uniporterbreakdown → | 1489 |
| 16 | 22 | |
| 17 | 30 | |
| 18 | 28 | |
| 19 | 61 | |
| 20 | 24 |
About Enrico Teardo
Enrico Teardo is a scholar working on Cellular and Molecular Neuroscience, Plant Science and Molecular Biology, having authored 24 papers that have together received 3.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (16 papers), Mitochondrial Function and Pathology (12 papers) and Photoreceptor and optogenetics research (9 papers). The work is most often cited by research in Clinical Biochemistry (288 citations), Molecular Biology (2.8k citations) and Cellular and Molecular Neuroscience (676 citations). Enrico Teardo has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Ildikò Szabó, Anna Raffaello, Rosario Rizzuto, Diego De Stefani, Vanessa Checchetto, Giorgio M. Giacometti, Luca Carraretto, Elide Formentin, Veronica Granatiero and Denis Vecellio Reane. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.