Paul Grosu
About
In The Last Decade
Paul Grosu
5 papers receiving 363 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 243
- Ophthalmology 149
- Neurology 52
- Radiology, Nuclear Medicine and Imaging 47
- Clinical Biochemistry 33
Countries citing papers authored by Paul Grosu
This map shows the geographic impact of Paul Grosu'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 Paul Grosu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Grosu more than expected).
Fields of papers citing papers by Paul Grosu
This network shows the impact of papers produced by Paul Grosu. 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 Paul Grosu. The network helps show where Paul Grosu may publish in the future.
Co-authorship network of co-authors of Paul Grosu
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Grosu. A scholar is included among the top collaborators of Paul Grosu 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 Paul Grosu. Paul Grosu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 54 | |
| 3 | 219 | |
| 4 | 1 | |
| 5 | Making sense of whole genome expression data. Microarray databases and tools for integrating whole-genome expression results into cellular networks. | 0 |
| 6 | 77 |
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.