Sinikka Oksa

485 total citations
17 papers, 351 citations indexed

About

Sinikka Oksa is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Sinikka Oksa has authored 17 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Reproductive Medicine, 8 papers in Obstetrics and Gynecology and 5 papers in Oncology. Recurrent topics in Sinikka Oksa's work include Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (7 papers) and MRI in cancer diagnosis (4 papers). Sinikka Oksa is often cited by papers focused on Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (7 papers) and MRI in cancer diagnosis (4 papers). Sinikka Oksa collaborates with scholars based in Finland, Germany and Portugal. Sinikka Oksa's co-authors include Johanna Hynninen, Annika Auranen, Olli Carpén, Seija Grénman, Jaakko Matomäki, Maija Lavonius, Johanna Virtanen, Marko Seppänen, Jukka Kemppainen and Tuulia Vallius and has published in prestigious journals such as BJOG An International Journal of Obstetrics & Gynaecology, Gynecologic Oncology and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Sinikka Oksa

16 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sinikka Oksa Finland 10 271 169 140 77 44 17 351
Rita Hils Germany 8 306 1.1× 196 1.2× 176 1.3× 15 0.2× 87 2.0× 15 391
Marjolein Kleppe Netherlands 8 311 1.1× 151 0.9× 228 1.6× 11 0.1× 38 0.9× 11 361
Bjoern Lampe Germany 9 186 0.7× 154 0.9× 220 1.6× 12 0.2× 67 1.5× 12 334
I. Belaroussi France 2 226 0.8× 93 0.6× 90 0.6× 11 0.1× 88 2.0× 2 262
María Teresa Achilarre Italy 10 194 0.7× 104 0.6× 250 1.8× 20 0.3× 29 0.7× 20 334
M.G. Salerno Italy 12 233 0.9× 147 0.9× 135 1.0× 7 0.1× 93 2.1× 13 334
Akiko Abe Japan 12 157 0.6× 129 0.8× 139 1.0× 13 0.2× 51 1.2× 35 307
Ines Nikolovski United States 11 80 0.3× 88 0.5× 50 0.4× 74 1.0× 22 0.5× 19 261
Ronaldo Lúcio Rangel Costa Brazil 8 63 0.2× 58 0.3× 73 0.5× 17 0.2× 45 1.0× 12 191
Sidney S. Chen United States 11 321 1.2× 118 0.7× 233 1.7× 14 0.2× 50 1.1× 25 438

Countries citing papers authored by Sinikka Oksa

Since Specialization
Citations

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

Fields of papers citing papers by Sinikka Oksa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinikka Oksa

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

All Works

17 of 17 papers shown
1.
Polo‐Kantola, Päivi, Sinikka Oksa, Johanna Kallio, et al.. (2024). Is it safe to operate selected low-risk endometrial cancer patients in secondary hospitals?. European Journal of Surgical Oncology. 50(6). 108317–108317. 1 indexed citations
2.
Nguyen, Mai, Kaisa Huhtinen, Sinikka Oksa, et al.. (2023). Extensive mutational ctDNA profiles reflect High-grade serous cancer tumors and reveal emerging mutations at recurrence. Translational Oncology. 39. 101814–101814. 3 indexed citations
3.
Braicu, Elena Ioana, Mitja Lääperi, Antti Jylhä, et al.. (2021). A Novel Two-Lipid Signature Is a Strong and Independent Prognostic Factor in Ovarian Cancer. Cancers. 13(8). 1764–1764. 10 indexed citations
4.
Grénman, Seija, Olli Carpén, Sakari Hietanen, et al.. (2019). A longitudinal analysis of CA125 glycoforms in the monitoring and follow up of high grade serous ovarian cancer. Gynecologic Oncology. 156(3). 689–694. 26 indexed citations
5.
Vallius, Tuulia, Johanna Hynninen, Jukka Kemppainen, et al.. (2018). 18F-FDG-PET/CT based total metabolic tumor volume change during neoadjuvant chemotherapy predicts outcome in advanced epithelial ovarian cancer. European Journal of Nuclear Medicine and Molecular Imaging. 45(7). 1224–1232. 32 indexed citations
6.
Vallius, Tuulia, Johanna Hynninen, Annika Auranen, et al.. (2017). Postoperative human epididymis protein 4 predicts primary therapy outcome in advanced epithelial ovarian cancer. Tumor Biology. 39(2). 13 indexed citations
7.
Vallius, Tuulia, Annika Auranen, Olli Carpén, et al.. (2015). 18F-FDG-PET/CT can identify histopathological non-responders to platinum-based neoadjuvant chemotherapy in advanced epithelial ovarian cancer. Gynecologic Oncology. 140(1). 29–35. 41 indexed citations
8.
Vallius, Tuulia, Johanna Hynninen, Annika Auranen, et al.. (2014). Serum HE4 and CA125 as predictors of response and outcome during neoadjuvant chemotherapy of advanced high-grade serous ovarian cancer. Tumor Biology. 35(12). 12389–12395. 40 indexed citations
9.
Hynninen, Johanna, Jukka Kemppainen, Maija Lavonius, et al.. (2013). A prospective comparison of integrated FDG-PET/contrast-enhanced CT and contrast-enhanced CT for pretreatment imaging of advanced epithelial ovarian cancer. Gynecologic Oncology. 131(2). 389–394. 75 indexed citations
10.
Hynninen, Johanna, Maija Lavonius, Sinikka Oksa, et al.. (2012). Is perioperative visual estimation of intra-abdominal tumor spread reliable in ovarian cancer surgery after neoadjuvant chemotherapy?. Gynecologic Oncology. 128(2). 229–232. 71 indexed citations
11.
Oksa, Sinikka, Tiina Luukkaala, & Johanna Mäenpää. (2009). Toremifene use does not alter serum inhibin A and B levels during mid-luteal phase in women with premenstrual mastalgia. Gynecological Endocrinology. 26(2). 114–117. 1 indexed citations
12.
Oksa, Sinikka, Riitta Parkkola, Tiina Luukkaala, & Johanna Mäenpää. (2009). Breast magnetic resonance imaging findings in women treated with toremifene for premenstrual mastalgia. Acta Radiologica. 50(9). 984–989. 14 indexed citations
13.
Oksa, Sinikka, Tiina Luukkaala, & Johanna Mäenpää. (2009). Toremifene use does not alter serum inhibin A and B levels during mid-luteal phase in women with premenstrual mastalgia. Gynecological Endocrinology. 1–4. 1 indexed citations
14.
Luukkaala, Tiina, et al.. (2008). Quality Assurance in Ultrasonographic Measurements of the Myomatous Uterus. 2(1). 62–66.
15.
Oksa, Sinikka. (2008). The Antioestrogen Toremifene has Luteotropic Effects in Women Suffering from Premenstrual Mastalgia. Acta Endocrinologica (Bucharest). 4(4). 425–432. 2 indexed citations
16.
Luukkaala, Tiina, et al.. (2007). Ultrasonographic assessment of weight of the myomatous uterus: A pilot study using a new combined geometrical formula. European Journal of Obstetrics & Gynecology and Reproductive Biology. 137(2). 193–197. 5 indexed citations
17.
Oksa, Sinikka, Tiina Luukkaala, & Juhani Mäenpää. (2006). Toremifene for premenstrual mastalgia: a randomised, placebo‐controlled crossover study. BJOG An International Journal of Obstetrics & Gynaecology. 113(6). 713–718. 16 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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