Nono Sukri
About
In The Last Decade
Nono Sukri
10 papers receiving 464 citations
Peers
Comparison fields: 5 of 56
- Public Health, Environmental and Occupational Health 346
- Infectious Diseases 341
- Hepatology 86
- Sociology and Political Science 68
- Epidemiology 44
Countries citing papers authored by Nono Sukri
This map shows the geographic impact of Nono Sukri'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 Nono Sukri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nono Sukri more than expected).
Fields of papers citing papers by Nono Sukri
This network shows the impact of papers produced by Nono Sukri. 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 Nono Sukri. The network helps show where Nono Sukri may publish in the future.
Co-authorship network of co-authors of Nono Sukri
This figure shows the co-authorship network connecting the top 25 collaborators of Nono Sukri. A scholar is included among the top collaborators of Nono Sukri 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 Nono Sukri. Nono Sukri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 197 | |
| 3 | 35 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 99 | |
| 7 | 51 | |
| 8 | 9 | |
| 9 | 27 | |
| 10 | 26 |
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.