Mutsa Madondo
About
In The Last Decade
Mutsa Madondo
11 papers receiving 679 citations
Peers
Comparison fields: 5 of 94
- Immunology 273
- Oncology 220
- Molecular Biology 211
- Reproductive Medicine 95
- Cancer Research 61
Countries citing papers authored by Mutsa Madondo
This map shows the geographic impact of Mutsa Madondo'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 Mutsa Madondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutsa Madondo more than expected).
Fields of papers citing papers by Mutsa Madondo
This network shows the impact of papers produced by Mutsa Madondo. 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 Mutsa Madondo. The network helps show where Mutsa Madondo may publish in the future.
Co-authorship network of co-authors of Mutsa Madondo
This figure shows the co-authorship network connecting the top 25 collaborators of Mutsa Madondo. A scholar is included among the top collaborators of Mutsa Madondo 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 Mutsa Madondo. Mutsa Madondo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 42 | |
| 3 | 11 | |
| 4 | 56 | |
| 5 | 19 | |
| 6 | 266 | |
| 7 | 132 | |
| 8 | 9 | |
| 9 | 38 | |
| 10 | 101 | |
| 11 | 6 |
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.