Macit Arvas

1.2k citations
64 papers · 842 indexed · h-index 16

Impact in

Papers in

Macit Arvas

59 papers receiving 817 citations

Peers

Macit Arvas
Comparison fields: 5 of 78
  • Reproductive Medicine 504
  • Obstetrics and Gynecology 432
  • Oncology 135
  • Public Health, Environmental and Occupational Health 126
  • Immunology 86
Replace Shannon Salvador with:
Shannon Salvador Canada
Fuat Demirkıran Türkiye
Marit Ek United States
Karishma Mehra United States
Alessandro Lucidi Italy
Enrico Breda Italy
Rosanna Mancari Italy
Koji Yamazawa Japan
Anna V. Hoekstra United States
Sara Imboden Switzerland
Macit Arvas relative to Shannon Salvador Canada Shannon Salvador's profile →
Citations per field
00.5×1.5×1.9×
Shannon Salvador · 1×
Citations per year

Countries citing papers authored by Macit Arvas

Since Specialization
Citations

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

Fields of papers citing papers by Macit Arvas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Macit Arvas, 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 Macit Arvas Line = papers co-authored together Macit Arvas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 200373
3 201269
4 200555
5 200335
6 201035
7 201430
8 200623
9 199622
10 201821
11 200620
12 200419
13 201518
14 201617
15
The prognostic significance of cervico-vaginal cytology in endometrial cancer.
199517
16 201215
17 201615
18 201615
19 201814
20
Peripheral primitive neuroectodermal tumor (PNET) of the vulva: a case report.
201114

About Macit Arvas

Macit Arvas is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Surgery, Epidemiology and Oncology, having authored 64 papers that have together received 842 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (33 papers), Endometrial and Cervical Cancer Treatments (29 papers), Cervical Cancer and HPV Research (11 papers), Endometriosis Research and Treatment (10 papers), Intraperitoneal and Appendiceal Malignancies (7 papers), Genital Health and Disease (7 papers), Uterine Myomas and Treatments (7 papers) and Sarcoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Reproductive Medicine (504 citations), Obstetrics and Gynecology (432 citations), Oncology (135 citations), Public Health, Environmental and Occupational Health (126 citations) and Immunology (86 citations). Macit Arvas has collaborated with scholars based in Türkiye, United States and Japan. Frequent co-authors include Fuat Demirkıran, Tugan Beşe, D. Kösebay, Şennur İlvan, İlker Kahramanoğlu, Hakan Erenel, Nuran Beşe, Mete Güngör, Engin Oral and Fırat Ortaç. Their work appears in journals such as International Journal of Gynecological Cancer, European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Gynecologic Oncology, International Journal of Gynecology & Obstetrics and 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.

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