Matthias Haury
About
In The Last Decade
Matthias Haury
29 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 2.0k
- Molecular Biology 896
- Radiology, Nuclear Medicine and Imaging 325
- Oncology 320
- Plant Science 274
Countries citing papers authored by Matthias Haury
This map shows the geographic impact of Matthias Haury'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 Matthias Haury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Haury more than expected).
Fields of papers citing papers by Matthias Haury
This network shows the impact of papers produced by Matthias Haury. 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 Matthias Haury. The network helps show where Matthias Haury may publish in the future.
Co-authorship network of co-authors of Matthias Haury
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Haury. A scholar is included among the top collaborators of Matthias Haury 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 Matthias Haury. Matthias Haury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 236 | |
| 2 | 10 | |
| 3 | 39 | |
| 4 | Regulatory T Cells Selectively Express Toll-like Receptors and Are Activated by Lipopolysaccharide breakdown → | 789 |
| 5 | 61 | |
| 6 | 40 | |
| 7 | 24 | |
| 8 | 165 | |
| 9 | 16 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | 171 | |
| 13 | 19 | |
| 14 | 28 | |
| 15 | 115 | |
| 16 | 94 | |
| 17 | 25 | |
| 18 | 37 | |
| 19 | 121 | |
| 20 | 20 |
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.