Daniil Rolshud
About
In The Last Decade
Daniil Rolshud
6 papers receiving 144 citations
Peers
Comparison fields: 5 of 48
- Surgery 63
- Cellular and Molecular Neuroscience 49
- Cognitive Neuroscience 39
- Oncology 36
- Physiology 20
Countries citing papers authored by Daniil Rolshud
This map shows the geographic impact of Daniil Rolshud'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 Daniil Rolshud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil Rolshud more than expected).
Fields of papers citing papers by Daniil Rolshud
This network shows the impact of papers produced by Daniil Rolshud. 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 Daniil Rolshud. The network helps show where Daniil Rolshud may publish in the future.
Co-authorship network of co-authors of Daniil Rolshud
This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Rolshud. A scholar is included among the top collaborators of Daniil Rolshud 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 Daniil Rolshud. Daniil Rolshud 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 | 2 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 38 | |
| 6 | 11 | |
| 7 | 82 |
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.