Giuliano Taccola
- Pathology and Forensic Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Co-authors
- Andrea NistriParag GadV. Reggie EdgertonDimitry G. SayenkoYury GerasimenkoCristina MarchettiMiranda MladinićRonald Deumens
- Topics
- Spinal Cord Injury Research (22 papers)Neuroscience and Neuropharmacology Research (14 papers)Muscle activation and electromyography studies (12 papers)
- Cited by
- Endocrine and Autonomic SystemsPathology and Forensic MedicineCellular and Molecular Neuroscience
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Giuliano Taccola
51 papers receiving 938 citations
Peers
Comparison fields: 5 of 80
- Pathology and Forensic Medicine 361
- Cellular and Molecular Neuroscience 323
- Endocrine and Autonomic Systems 199
- Molecular Biology 188
- Cognitive Neuroscience 148
Countries citing papers authored by Giuliano Taccola
This map shows the geographic impact of Giuliano Taccola'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 Giuliano Taccola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuliano Taccola more than expected).
Fields of papers citing papers by Giuliano Taccola
This network shows the impact of papers produced by Giuliano Taccola. 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 Giuliano Taccola. The network helps show where Giuliano Taccola may publish in the future.
Co-authorship network of co-authors of Giuliano Taccola
This figure shows the co-authorship network connecting the top 25 collaborators of Giuliano Taccola. A scholar is included among the top collaborators of Giuliano Taccola 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 Giuliano Taccola. Giuliano Taccola 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 136 | |
| 9 | 11 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | 12 | |
| 15 | 6 | |
| 16 | 53 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 12 |
About Giuliano Taccola
Giuliano Taccola is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Neurology, having authored 53 papers that have together received 949 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (22 papers), Neuroscience and Neuropharmacology Research (14 papers) and Muscle activation and electromyography studies (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (199 citations), Pathology and Forensic Medicine (361 citations) and Cellular and Molecular Neuroscience (323 citations). Giuliano Taccola has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Andrea Nistri, Parag Gad, V. Reggie Edgerton, Dimitry G. Sayenko, Yury Gerasimenko, Cristina Marchetti, Miranda Mladinić, Ronald Deumens, Roustem Khazipov and Michel Mazzuca. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and The Journal of Physiology.
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.