Eugenia Girda
About
In The Last Decade
Eugenia Girda
49 papers receiving 761 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Oncology 306
- Molecular Biology 215
- Obstetrics and Gynecology 191
- Cancer Research 179
- Pulmonary and Respiratory Medicine 167
Countries citing papers authored by Eugenia Girda
This map shows the geographic impact of Eugenia Girda'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 Eugenia Girda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Girda more than expected).
Fields of papers citing papers by Eugenia Girda
This network shows the impact of papers produced by Eugenia Girda. 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 Eugenia Girda. The network helps show where Eugenia Girda may publish in the future.
Co-authorship network of co-authors of Eugenia Girda
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Girda. A scholar is included among the top collaborators of Eugenia Girda 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 Eugenia Girda. Eugenia Girda 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 | 3 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | Real-world application of tumor mutational burden-high (TMB-high) and microsatellite instability (MSI) confirms their utility as immunotherapy biomarkers breakdown → | 196 |
| 17 | 57 | |
| 18 | 17 | |
| 19 | 79 | |
| 20 | 9 |
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.