Mátyás Sándor
- Immunology top 0.5%
- Molecular Biology top 10%
- Neurology top 0.5%
- Epidemiology top 5%
- Infectious Diseases top 2%
- Co-authors
- Zsuzsanna FábryRichard G. LynchZsuzsa FábryLaura H. HoganChangying LingJózsef KármánAditya RayasamDominic O. Co
- Topics
- T-cell and B-cell Immunology (46 papers)Monoclonal and Polyclonal Antibodies Research (35 papers)Neuroinflammation and Neurodegeneration Mechanisms (28 papers)
- Cited by
- ImmunologyNeurologyParasitology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesHungaryFrance
In The Last Decade
Mátyás Sándor
162 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 115
- Immunology 2.5k
- Molecular Biology 1.2k
- Neurology 927
- Epidemiology 896
- Infectious Diseases 723
Countries citing papers authored by Mátyás Sándor
This map shows the geographic impact of Mátyás Sándor'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 Mátyás Sándor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mátyás Sándor more than expected).
Fields of papers citing papers by Mátyás Sándor
This network shows the impact of papers produced by Mátyás Sándor. 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 Mátyás Sándor. The network helps show where Mátyás Sándor may publish in the future.
Co-authorship network of co-authors of Mátyás Sándor
This figure shows the co-authorship network connecting the top 25 collaborators of Mátyás Sándor. A scholar is included among the top collaborators of Mátyás Sándor 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 Mátyás Sándor. Mátyás Sándor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 47 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 90 | |
| 10 | Characterization of the Histoplasma capsulatum-Induced Granuloma | 5 |
| 11 | 34 | |
| 12 | 69 | |
| 13 | 17 | |
| 14 | 180 | |
| 15 | 25 | |
| 16 | 79 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 32 |
About Mátyás Sándor
Mátyás Sándor is a scholar working on Immunology, Neurology and Immunology and Allergy, having authored 163 papers that have together received 5.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (46 papers), Monoclonal and Polyclonal Antibodies Research (35 papers) and Neuroinflammation and Neurodegeneration Mechanisms (28 papers). The work is most often cited by research in Immunology (2.5k citations), Neurology (927 citations) and Parasitology (364 citations). Mátyás Sándor has collaborated with scholars based in United States, Hungary and France. Frequent co-authors include Zsuzsanna Fábry, Richard G. Lynch, Zsuzsa Fábry, Laura H. Hogan, Changying Ling, József Kármán, Aditya Rayasam, Dominic O. Co, Ahmed Metwali and Martin Hsu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature 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.