Carmen N. Chirita
About
In The Last Decade
Carmen N. Chirita
9 papers receiving 837 citations
Peers
Comparison fields: 5 of 64
- Physiology 677
- Molecular Biology 458
- Cellular and Molecular Neuroscience 180
- Neurology 179
- Pharmacology 147
Countries citing papers authored by Carmen N. Chirita
This map shows the geographic impact of Carmen N. Chirita'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 Carmen N. Chirita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen N. Chirita more than expected).
Fields of papers citing papers by Carmen N. Chirita
This network shows the impact of papers produced by Carmen N. Chirita. 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 Carmen N. Chirita. The network helps show where Carmen N. Chirita may publish in the future.
Co-authorship network of co-authors of Carmen N. Chirita
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen N. Chirita. A scholar is included among the top collaborators of Carmen N. Chirita 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 Carmen N. Chirita. Carmen N. Chirita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 137 | |
| 2 | 80 | |
| 3 | 102 | |
| 4 | 61 | |
| 5 | 88 | |
| 6 | 1 | |
| 7 | 183 | |
| 8 | 199 | |
| 9 | [Contribution to the study of derivatives of the thiourea type having antitubercular activity]. | 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.