Maria Jäntti
- Molecular Biology
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 5%
- Cellular and Molecular Neuroscience
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Jyrki P. KukkonenPauli M. TurunenBrandon K. HarveyVirpi TalmanRaimo K. TuominenTimo T. MyöhänenGábor HerczegJuha Merilä
- Topics
- Peptidase Inhibition and Analysis (7 papers)Signaling Pathways in Disease (6 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Journals
- PLoS ONEBiochemical and Biophysical Research CommunicationsFree Radical Biology and Medicine
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Maria Jäntti
25 papers receiving 574 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 180
- Cognitive Neuroscience 162
- Endocrine and Autonomic Systems 119
- Cellular and Molecular Neuroscience 108
- Experimental and Cognitive Psychology 106
Countries citing papers authored by Maria Jäntti
This map shows the geographic impact of Maria Jäntti'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 Maria Jäntti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Jäntti more than expected).
Fields of papers citing papers by Maria Jäntti
This network shows the impact of papers produced by Maria Jäntti. 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 Maria Jäntti. The network helps show where Maria Jäntti may publish in the future.
Co-authorship network of co-authors of Maria Jäntti
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Jäntti. A scholar is included among the top collaborators of Maria Jäntti 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 Maria Jäntti. Maria Jäntti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 39 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 32 | |
| 9 | 38 | |
| 10 | 13 | |
| 11 | 54 | |
| 12 | 14 | |
| 13 | 31 | |
| 14 | 34 | |
| 15 | 60 | |
| 16 | 35 | |
| 17 | 29 | |
| 18 | 31 | |
| 19 | 2 | |
| 20 | 78 |
About Maria Jäntti
Maria Jäntti is a scholar working on Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 25 papers that have together received 580 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Signaling Pathways in Disease (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (119 citations), Cognitive Neuroscience (162 citations) and Ecological Modeling (35 citations). Maria Jäntti has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Jyrki P. Kukkonen, Pauli M. Turunen, Brandon K. Harvey, Virpi Talman, Raimo K. Tuominen, Timo T. Myöhänen, Gábor Herczeg, Juha Merilä, Abigél Gonda and Ulrika Julku. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.
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.