Makiko Kondo
About
In The Last Decade
Makiko Kondo
27 papers receiving 271 citations
Peers
Comparison fields: 5 of 43
- Virology 220
- Infectious Diseases 218
- Epidemiology 73
- Hepatology 30
- Molecular Biology 24
Countries citing papers authored by Makiko Kondo
This map shows the geographic impact of Makiko Kondo'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 Makiko Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Kondo more than expected).
Fields of papers citing papers by Makiko Kondo
This network shows the impact of papers produced by Makiko Kondo. 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 Makiko Kondo. The network helps show where Makiko Kondo may publish in the future.
Co-authorship network of co-authors of Makiko Kondo
This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Kondo. A scholar is included among the top collaborators of Makiko Kondo 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 Makiko Kondo. Makiko Kondo 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 | 10 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 37 | |
| 10 | 39 | |
| 11 | 9 | |
| 12 | 30 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 1 |
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.