Ming‐Celine Dubosq
About
In The Last Decade
Ming‐Celine Dubosq
5 papers receiving 401 citations
Peers
Comparison fields: 5 of 37
- Epidemiology 261
- Oncology 233
- Genetics 123
- Immunology 101
- Infectious Diseases 65
Countries citing papers authored by Ming‐Celine Dubosq
This map shows the geographic impact of Ming‐Celine Dubosq'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 Ming‐Celine Dubosq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Celine Dubosq more than expected).
Fields of papers citing papers by Ming‐Celine Dubosq
This network shows the impact of papers produced by Ming‐Celine Dubosq. 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 Ming‐Celine Dubosq. The network helps show where Ming‐Celine Dubosq may publish in the future.
Co-authorship network of co-authors of Ming‐Celine Dubosq
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Celine Dubosq. A scholar is included among the top collaborators of Ming‐Celine Dubosq 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 Ming‐Celine Dubosq. Ming‐Celine Dubosq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 104 | |
| 3 | 79 | |
| 4 | 8 | |
| 5 | 181 |
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.