R Tana
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Obstetrics and Gynecology top 5%
- Surgery
- Reproductive Medicine top 10%
- Co-authors
- Z. FicekAngiolo GadducciGiovanna SimiLetizia FreschiNicola PluchinoVito CelaMaría RuggieroA Fanucchi
- Topics
- Ovarian cancer diagnosis and treatment (4 papers)Uterine Myomas and Treatments (3 papers)Advanced Thermodynamics and Statistical Mechanics (2 papers)
In The Last Decade
R Tana
10 papers receiving 335 citations
Peers
Comparison fields: 5 of 53
- Atomic and Molecular Physics, and Optics 133
- Artificial Intelligence 122
- Obstetrics and Gynecology 96
- Surgery 92
- Reproductive Medicine 78
Countries citing papers authored by R Tana
This map shows the geographic impact of R Tana'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 R Tana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Tana more than expected).
Fields of papers citing papers by R Tana
This network shows the impact of papers produced by R Tana. 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 R Tana. The network helps show where R Tana may publish in the future.
Co-authorship network of co-authors of R Tana
This figure shows the co-authorship network connecting the top 25 collaborators of R Tana. A scholar is included among the top collaborators of R Tana 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 R Tana. R Tana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 13 | |
| 3 | Analysis of failures and clinical outcome of advanced epithelial ovarian cancer in patients with microscopic residual disease at second-look reassessment following primary cytoreductive surgery and first-line platinum-based chemotherapy. | 16 |
| 4 | 35 | |
| 5 | Prognostic value of lymph node status and number of removed nodes in patients with squamous cell carcinoma of the vulva treated with modified radical vulvectomy and inguinal-femoral lymphadenectomy. | 10 |
| 6 | 8 | |
| 7 | 58 | |
| 8 | 33 | |
| 9 | 103 | |
| 10 | Complications in the surgical treatment of carcinoma of the endometrium. | 2 |
About R Tana
R Tana is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Statistical and Nonlinear Physics, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Uterine Myomas and Treatments (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Obstetrics and Gynecology (96 citations), Reproductive Medicine (78 citations) and Atomic and Molecular Physics, and Optics (133 citations). R Tana has collaborated with scholars based in Italy, Australia and Poland. Frequent co-authors include Z. Ficek, Angiolo Gadducci, Giovanna Simi, Letizia Freschi, Nicola Pluchino, Vito Cela, María Ruggiero, A Fanucchi, Giuseppe Teti and Andrea Riccardo Genazzani. Their work appears in journals such as Annals of Oncology, Surgical Endoscopy and International Journal of Gynecological Cancer.
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.