Mario Merlini
- Neurology top 0.5%
- Physiology top 5%
- Molecular Biology
- Neurology top 5%
- Immunology top 10%
- Co-authors
- Roger M. NitschKaterina AkassoglouDimitrios DavalosJae Kyu RyuLuka KulicÉric P. MeyerAlexandra Ulmann‐SchulerMaria Teresa Ferretti
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (14 papers)Alzheimer's disease research and treatments (9 papers)Neurological Disease Mechanisms and Treatments (6 papers)
- Journals
- Nature CommunicationsNeuronBlood
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Mario Merlini
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Neurology 1.0k
- Physiology 604
- Molecular Biology 345
- Neurology 317
- Immunology 254
Countries citing papers authored by Mario Merlini
This map shows the geographic impact of Mario Merlini'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 Mario Merlini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Merlini more than expected).
Fields of papers citing papers by Mario Merlini
This network shows the impact of papers produced by Mario Merlini. 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 Mario Merlini. The network helps show where Mario Merlini may publish in the future.
Co-authorship network of co-authors of Mario Merlini
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Merlini. A scholar is included among the top collaborators of Mario Merlini 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 Mario Merlini. Mario Merlini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 40 | |
| 7 | 290 | |
| 8 | 41 | |
| 9 | 69 | |
| 10 | 135 | |
| 11 | 157 | |
| 12 | Imaging of CNS Injury and Disease. | 1 |
| 13 | 10 | |
| 14 | 88 | |
| 15 | 10 | |
| 16 | 23 | |
| 17 | 432 | |
| 18 | 167 | |
| 19 | 51 | |
| 20 | [Comparison of the radioimmunological method and the immunoenzyme method of determining total serum IgE. Data regarding children]. | 1 |
About Mario Merlini
Mario Merlini is a scholar working on Neurology, Biological Psychiatry and Physiology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Alzheimer's disease research and treatments (9 papers) and Neurological Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Neurology (1.0k citations), Biological Psychiatry (188 citations) and Developmental Neuroscience (99 citations). Mario Merlini has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Roger M. Nitsch, Katerina Akassoglou, Dimitrios Davalos, Jae Kyu Ryu, Luka Kulic, Éric P. Meyer, Alexandra Ulmann‐Schuler, Maria Teresa Ferretti, Mark A. Petersen and Mark H. Ellisman. Their work appears in journals such as Nature Communications, Neuron and Blood.
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.