Refika Yigit

1.2k total citations
18 papers, 712 citations indexed

About

Refika Yigit is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Immunology. According to data from OpenAlex, Refika Yigit has authored 18 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Obstetrics and Gynecology, 8 papers in Reproductive Medicine and 7 papers in Immunology. Recurrent topics in Refika Yigit's work include Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Immunotherapy and Immune Responses (4 papers). Refika Yigit is often cited by papers focused on Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (6 papers) and Immunotherapy and Immune Responses (4 papers). Refika Yigit collaborates with scholars based in Netherlands, Belgium and Switzerland. Refika Yigit's co-authors include Leon F.A.G. Massuger, Ruurd Torensma, Carl G. Figdor, Petra L.M. Zusterzeel, Frédéric Amant, Marie‐Rose Christiaens, Kathleen Porke, Sabine Deprez, Joris Vandenberghe and Jan Van den Stock and has published in prestigious journals such as The Lancet Oncology, Clinical Cancer Research and Frontiers in Immunology.

In The Last Decade

Refika Yigit

18 papers receiving 699 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Refika Yigit 273 254 218 171 159 18 712
Renske A. de Jong 471 1.7× 460 1.8× 111 0.5× 8 0.0× 178 1.1× 13 908
Sameer Farouk Sait 56 0.2× 64 0.3× 63 0.3× 131 0.8× 141 0.9× 30 537
Shaina Sedighim 242 0.9× 241 0.9× 82 0.4× 134 0.8× 5 0.0× 26 494
Anna F. Piotrowski 56 0.2× 176 0.7× 61 0.3× 127 0.7× 11 0.1× 26 374
Tomokazu Umezu 96 0.4× 185 0.7× 68 0.3× 8 0.0× 234 1.5× 32 592
Daniela Moncini 74 0.3× 36 0.1× 35 0.2× 60 0.4× 108 0.7× 30 353
Takamitsu Matsushima 184 0.7× 110 0.4× 29 0.1× 49 0.3× 11 0.1× 36 416
Yoshihiro Umezawa 122 0.4× 116 0.5× 29 0.1× 79 0.5× 18 0.1× 45 533
Hideyuki Ohtake 179 0.7× 115 0.5× 25 0.1× 12 0.1× 422 2.7× 19 789

Countries citing papers authored by Refika Yigit

Since Specialization
Citations

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

Fields of papers citing papers by Refika Yigit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Refika Yigit

This figure shows the co-authorship network connecting the top 25 collaborators of Refika Yigit. A scholar is included among the top collaborators of Refika Yigit 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 Refika Yigit. Refika Yigit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Vledder, Annegé, Nienke van Rooij, Annechien Plat, et al.. (2025). Vvax001, a Therapeutic Vaccine, for Patients with HPV16-Positive High-grade Cervical Intraepithelial Neoplasia: A Phase II Trial. Clinical Cancer Research. 31(6). 1016–1026. 4 indexed citations
2.
Yigit, Refika, et al.. (2023). The risk of lymph node metastasis in the new FIGO 2018 stage IA cervical cancer with >7 mm diameter. Journal of Gynecologic Oncology. 34(6). e75–e75. 2 indexed citations
3.
Verhoef, Viola M.J., Karolina Sikorska, Albert G. Siebers, et al.. (2023). Optimising follow-up strategy based on cytology and human papillomavirus after fertility-sparing surgery for early stage cervical cancer: a nationwide, population-based, retrospective cohort study. The Lancet Oncology. 24(12). 1349–1358. 4 indexed citations
4.
Driel, Willemien J. van, Maaike A. van der Aa, Michel W.J.M. Wouters, et al.. (2022). An overview of Clinical Quality Registries (CQRs) on gynecological oncology worldwide. European Journal of Surgical Oncology. 48(10). 2094–2103. 3 indexed citations
5.
Paijens, Sterre T., Annegé Vledder, Evelien W. Duiker, et al.. (2021). Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients. OncoImmunology. 10(1). 1935104–1935104. 13 indexed citations
6.
Vledder, Annegé, Evelien W. Duiker, Joost Bart, et al.. (2021). 263 Prognostic image-based quantification of CD8CD103 T cell subsets in high-grade serous ovarian cancer patients. A217–A218. 2 indexed citations
8.
Wenzel, Hans H.B., Roy F.P.M. Kruitwagen, Hans W. Nijman, et al.. (2020). Short‐term surgical complications after radical hysterectomy—A nationwide cohort study. Acta Obstetricia Et Gynecologica Scandinavica. 99(7). 925–932. 12 indexed citations
9.
Wenzel, Hans H.B., R.G.V. Smolders, Jogchum Beltman, et al.. (2020). Survival of patients with early-stage cervical cancer after abdominal or laparoscopic radical hysterectomy: a nationwide cohort study and literature review. European Journal of Cancer. 133. 14–21. 54 indexed citations
10.
Boer, Tjitske Duiveman‐de, Refika Yigit, Petra L.M. Zusterzeel, et al.. (2019). Survival of Ovarian Cancer Patients Is Independent of the Presence of DC and T Cell Subsets in Ascites. Frontiers in Immunology. 9. 3156–3156. 25 indexed citations
11.
Workel, Hagma H., Fenne L. Komdeur, Maartje C.A. Wouters, et al.. (2016). CD103 defines intraepithelial CD8+ PD1+ tumour-infiltrating lymphocytes of prognostic significance in endometrial adenocarcinoma. European Journal of Cancer. 60. 1–11. 113 indexed citations
12.
Wouters, Maartje C.A., Fenne L. Komdeur, Hagma H. Workel, et al.. (2015). Treatment Regimen, Surgical Outcome, and T-cell Differentiation Influence Prognostic Benefit of Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 22(3). 714–724. 56 indexed citations
13.
Yigit, Refika, Carl G. Figdor, Petra L.M. Zusterzeel, et al.. (2011). Cytokine analysis as a tool to understand tumour–host interaction in ovarian cancer. European Journal of Cancer. 47(12). 1883–1889. 46 indexed citations
14.
Yigit, Refika, Leon F.A.G. Massuger, Petra L.M. Zusterzeel, et al.. (2011). Cytokine Profiles in Cyst Fluids From Ovarian Tumors Reflect Immunosuppressive State of the Tumor. International Journal of Gynecological Cancer. 21(7). 1241–1247. 14 indexed citations
15.
Yigit, Refika, Leon F.A.G. Massuger, Carl G. Figdor, & Ruurd Torensma. (2010). Ovarian cancer creates a suppressive microenvironment to escape immune elimination. Gynecologic Oncology. 117(2). 366–372. 130 indexed citations
16.
Deprez, Sabine, Frédéric Amant, Refika Yigit, et al.. (2010). Chemotherapy‐induced structural changes in cerebral white matter and its correlation with impaired cognitive functioning in breast cancer patients. Human Brain Mapping. 32(3). 480–493. 223 indexed citations
17.
Yigit, Refika, et al.. (2007). Predictors of oligoamenorrhea at 1-year follow-up in premenopausal women using a levonorgestrel-releasing intrauterine system. Contraception. 76(2). 91–95. 9 indexed citations
18.
Yigit, Refika & Fisher Jw. (1983). Activation of erythroid colony forming cells (CFU-E) by cyclic AMP in adult mouse bone marrow and fetal mouse liver cultures.. PubMed. 68(3). 301–11. 1 indexed citations

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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