D. Zarca

402 citations
9 papers · 118 · h-index 6

Impact in

Papers in

    • Breast Cancer Treatment Studies 4
    • Cancer Genomics and Diagnostics 3
    • BRCA gene mutations in cancer 3

D. Zarca

8 papers receiving 113 citations

Peers

D. Zarca
Comparison fields: 5 of 33
  • Reproductive Medicine 36
  • Cancer Research 43
  • Obstetrics and Gynecology 19
  • Oncology 48
  • Surgery 33
Replace Riccardo Rosso with:
Riccardo Rosso Italy
Marie Ange Mouret‐Reynier France
Kalpana Ragupathy United Kingdom
Philip Badman United Kingdom
María José Godes Spain
Charlotte Tyson United Kingdom
Jessica Marquard United States
René L. Roux United Kingdom
Maria Grazia Razeti Italy
Talia Boshari United Kingdom
D. Zarca relative to Riccardo Rosso Italy Riccardo Rosso's profile →
Citations per field
00.5×10×
Riccardo Rosso · 1×
Citations per year

Countries citing papers authored by D. Zarca

Since Specialization
Citations

This map shows the geographic impact of D. Zarca'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 D. Zarca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Zarca more than expected).

Fields of papers citing papers by D. Zarca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Zarca. 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 D. Zarca. The network helps show where D. Zarca may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Zarca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Zarca Line = papers co-authored together D. Zarca links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201637
2
Secondary cytoreductive surgery in ovarian cancer.
198930
3 201424
4 19908
5 20147
6
[Sarcoma of the uterus. A clinical study apropos of 50 surgically treated cases at the Gustave Roussy Institute. Review of the literature].
19897
7 20093
8 20132
9 20200

About D. Zarca

D. Zarca is a scholar working on Cancer Research, Genetics, Reproductive Medicine, Surgery and Oncology, having authored 9 papers that have together received 118 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Uterine Myomas and Treatments (2 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Cancer Treatment and Pharmacology (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Reproductive Medicine (36 citations), Cancer Research (43 citations), Obstetrics and Gynecology (19 citations), Oncology (48 citations) and Surgery (33 citations). D. Zarca has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include G Michel, Damienne Castaigne, M Prade, Riccardo Masetti, Christos Markopoulos, Vahit Özmen, CJH van de Velde, Bettina Borisch, Katie Breheny and Marta Lomazzi. Their work appears in journals such as European Journal of Surgical Oncology, Gynecologic Oncology, European Journal of Cancer Supplements, Bulletin du Cancer and European Journal of Cancer Care.

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.

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