Juha‐Matti Savola
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Anesthesiology and Pain Medicine top 0.5%
- Small Animals top 0.5%
- Physiology top 10%
- Co-authors
- Raimo VirtanenVeijo SaanoLeena NymanSiegfried WursterMia EngströmMika ScheininR VirtanenChristian Jansson
- Topics
- Receptor Mechanisms and Signaling (36 papers)Neuroscience and Neuropharmacology Research (23 papers)Neuropeptides and Animal Physiology (11 papers)
- Journals
- Journal of Biological ChemistryNeurologyBiochemical and Biophysical Research Communications
- Partner nations
- FinlandUnited StatesIsrael
In The Last Decade
Juha‐Matti Savola
81 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.1k
- Anesthesiology and Pain Medicine 638
- Small Animals 432
- Physiology 347
Countries citing papers authored by Juha‐Matti Savola
This map shows the geographic impact of Juha‐Matti Savola'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 Juha‐Matti Savola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha‐Matti Savola more than expected).
Fields of papers citing papers by Juha‐Matti Savola
This network shows the impact of papers produced by Juha‐Matti Savola. 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 Juha‐Matti Savola. The network helps show where Juha‐Matti Savola may publish in the future.
Co-authorship network of co-authors of Juha‐Matti Savola
This figure shows the co-authorship network connecting the top 25 collaborators of Juha‐Matti Savola. A scholar is included among the top collaborators of Juha‐Matti Savola 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 Juha‐Matti Savola. Juha‐Matti Savola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 31 | |
| 6 | 33 | |
| 7 | 52 | |
| 8 | 35 | |
| 9 | 12 | |
| 10 | 91 | |
| 11 | 26 | |
| 12 | 10 | |
| 13 | 31 | |
| 14 | 79 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 66 | |
| 18 | 28 | |
| 19 | 121 | |
| 20 | 76 |
About Juha‐Matti Savola
Juha‐Matti Savola is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Pharmaceutical Science, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (36 papers), Neuroscience and Neuropharmacology Research (23 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (638 citations), Cellular and Molecular Neuroscience (1.3k citations) and Small Animals (432 citations). Juha‐Matti Savola has collaborated with scholars based in Finland, United States and Israel. Frequent co-authors include Raimo Virtanen, Veijo Saano, Leena Nyman, Siegfried Wurster, Mia Engström, Mika Scheinin, R Virtanen, Christian Jansson, Anne Marjamäki and Karl E.O. Åkerman. Their work appears in journals such as Journal of Biological Chemistry, Neurology and Biochemical and Biophysical Research 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.