Mary C. Riedy
About
In The Last Decade
Mary C. Riedy
10 papers receiving 808 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 451
- Oncology 373
- Molecular Biology 189
- Genetics 111
- Hematology 90
Countries citing papers authored by Mary C. Riedy
This map shows the geographic impact of Mary C. Riedy'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 Mary C. Riedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary C. Riedy more than expected).
Fields of papers citing papers by Mary C. Riedy
This network shows the impact of papers produced by Mary C. Riedy. 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 Mary C. Riedy. The network helps show where Mary C. Riedy may publish in the future.
Co-authorship network of co-authors of Mary C. Riedy
This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Riedy. A scholar is included among the top collaborators of Mary C. Riedy 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 Mary C. Riedy. Mary C. Riedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 40 | |
| 5 | Mutation of Jak3 in a Patient with SCID: Essential Role of Jak3 in Lymphoid Development breakdown → | 641 |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 126 | |
| 10 | 9 |
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.