Daniel Epurescu
About
In The Last Decade
Daniel Epurescu
2 papers receiving 98 citations
Peers
Comparison fields: 5 of 36
- Molecular Biology 64
- Oncology 51
- Organic Chemistry 37
- Pathology and Forensic Medicine 9
- Pulmonary and Respiratory Medicine 6
Countries citing papers authored by Daniel Epurescu
This map shows the geographic impact of Daniel Epurescu'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 Daniel Epurescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Epurescu more than expected).
Fields of papers citing papers by Daniel Epurescu
This network shows the impact of papers produced by Daniel Epurescu. 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 Daniel Epurescu. The network helps show where Daniel Epurescu may publish in the future.
Co-authorship network of co-authors of Daniel Epurescu
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Epurescu. A scholar is included among the top collaborators of Daniel Epurescu 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 Daniel Epurescu. Daniel Epurescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | Total CD34 yield and CFU-GM as mobolisation and subsequent engraftment after high dose chemotherapy. | 64 |
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.