Christopher Massad
About
In The Last Decade
Christopher Massad
8 papers receiving 503 citations
Peers
Comparison fields: 5 of 55
- Immunology 324
- Genetics 181
- Molecular Biology 116
- Rheumatology 79
- Surgery 74
Countries citing papers authored by Christopher Massad
This map shows the geographic impact of Christopher Massad'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 Christopher Massad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Massad more than expected).
Fields of papers citing papers by Christopher Massad
This network shows the impact of papers produced by Christopher Massad. 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 Christopher Massad. The network helps show where Christopher Massad may publish in the future.
Co-authorship network of co-authors of Christopher Massad
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Massad. A scholar is included among the top collaborators of Christopher Massad 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 Christopher Massad. Christopher Massad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 58 | |
| 5 | 49 | |
| 6 | 60 | |
| 7 | 75 | |
| 8 | 15 | |
| 9 | 231 |
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.