Sevim Baykal Koca

648 total citations
23 papers, 467 citations indexed

About

Sevim Baykal Koca is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Surgery. According to data from OpenAlex, Sevim Baykal Koca has authored 23 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 9 papers in Rheumatology and 5 papers in Surgery. Recurrent topics in Sevim Baykal Koca's work include Urologic and reproductive health conditions (5 papers), Sarcoma Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Sevim Baykal Koca is often cited by papers focused on Urologic and reproductive health conditions (5 papers), Sarcoma Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Sevim Baykal Koca collaborates with scholars based in Türkiye, Antigua and Barbuda and Cambodia. Sevim Baykal Koca's co-authors include Ceyda Turan Bektaş, Çağrı Erdim, Özgür Kılıçkesmez, Aytül Hande Yardımcı, Uğur Yücetaş, Burak Koçak, Kemal Behzatoğlu, Fazilet Öner Dinçbaş, Burak Koçak and Fatma Tokat and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Radiology and European Journal of Radiology.

In The Last Decade

Sevim Baykal Koca

17 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sevim Baykal Koca Türkiye	10	328	255	89	69	66	23	467
Mehdi Taghipour United States	17	258 0.8×	390 1.5×	41 0.5×	39 0.6×	116 1.8×	33	696
Hai Xu China	16	211 0.6×	208 0.8×	97 1.1×	31 0.4×	75 1.1×	53	707
Hexiang Wang China	12	188 0.6×	211 0.8×	47 0.5×	80 1.2×	61 0.9×	21	345
Francesco Dondi Italy	14	189 0.6×	319 1.3×	46 0.5×	17 0.2×	90 1.4×	80	566
Claudia Ortega Canada	12	162 0.5×	222 0.9×	56 0.6×	26 0.4×	100 1.5×	52	435
Denis Hoa France	10	158 0.5×	161 0.6×	29 0.3×	49 0.7×	31 0.5×	26	402
Annalaura Salerno Italy	10	233 0.7×	235 0.9×	31 0.3×	17 0.2×	65 1.0×	12	448
Andrei Lebovici Romania	12	149 0.5×	310 1.2×	70 0.8×	25 0.4×	93 1.4×	44	464
Thomas Brunkhorst Germany	9	193 0.6×	165 0.6×	27 0.3×	32 0.5×	146 2.2×	12	484

Countries citing papers authored by Sevim Baykal Koca

Since Specialization

Citations

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

Fields of papers citing papers by Sevim Baykal Koca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sevim Baykal Koca. 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 Sevim Baykal Koca. The network helps show where Sevim Baykal Koca may publish in the future.

Co-authorship network of co-authors of Sevim Baykal Koca

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

All Works

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20 of 20 papers shown

Aru, Başak, et al.. (2025). Hippo signaling pathway in human testis and seminoma: anticancer effect of verteporfin on human seminoma TCam-2 cells. Journal of Molecular Histology. 56(5). 273–273.

Ergül, Nurhan, Tevfik Fikret Çermik, Esra Arslan, et al.. (2024). Contribution of 68Ga-DOTA-FAPI-04 PET/CT to Prostate Cancer Imaging. Clinical Nuclear Medicine. 49(3). e105–e110. 7 indexed citations

Dursun, Nevra, et al.. (2023). Can the sampling method affect the detection of incidental gallbladder carcinoma? Comparative analysis of two sampling methods. Annals of Diagnostic Pathology. 67. 152187–152187.

Koca, Sevim Baykal, et al.. (2023). 68Ga-FAPI-04 PET/CT In Primary Signet Ring–Like Cell Carcinoma of Prostate With Bone Metastases. Clinical Nuclear Medicine. 48(4). e188–e189. 6 indexed citations

Yiğit, Özgür, et al.. (2021). A clinical and histopathological comparison of saline, adrenaline and 2-mercaptoethanesulfonate (MESNA) in mucoperichondrial elevation: which is superior?. Acta Otorhinolaryngologica Italica. 41(1). 51–58.

Leblebıcı, Cem, et al.. (2021). Eccrine spiradenoma mimicking adenoid cystic carcinoma cytologically (Two case reports and literature review). Diagnostic Cytopathology. 50(1). E6–E12. 2 indexed citations

Erdim, Çağrı, Aytül Hande Yardımcı, Ceyda Turan Bektaş, et al.. (2020). Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis. Academic Radiology. 27(10). 1422–1429. 55 indexed citations

Köseoğlu, Hikmet, et al.. (2020). Histopathological variant types diagnosed in prostate surgery. SHILAP Revista de lepidopterología. 47–53.

Yücetaş, Uğur, et al.. (2020). The prostatic adenocarcinoma with mucinous features. Journal of Cancer Research and Therapeutics. 17(2). 596–598. 2 indexed citations

10.

Bektaş, Ceyda Turan, Burak Koçak, Aytül Hande Yardımcı, et al.. (2018). Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade. European Radiology. 29(3). 1153–1163. 126 indexed citations

11.

Koca, Sevim Baykal, et al.. (2018). Predictive Role of Ki-67 and Proliferative-Cell Nuclear Antigen (PCNA) in Recurrent Cholesteatoma. The Journal of International Advanced Otology. 15(1). 38–42. 11 indexed citations

12.

Koçak, Burak, Aytül Hande Yardımcı, Ceyda Turan Bektaş, et al.. (2018). Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation. European Journal of Radiology. 107. 149–157. 101 indexed citations

13.

Behzatoğlu, Kemal, et al.. (2018). Atypical spindle cell/pleomorphic lipomatous tumor: A clinicopathologic, immunohistochemical, and molecular study of 20 cases. Pathology International. 68(10). 550–556. 30 indexed citations

14.

Leblebıcı, Cem, et al.. (2018). Primary breast carcinomas with neuroendocrine features: Clinicopathological features and analysis of tumor growth patterns in 36 cases. Annals of Diagnostic Pathology. 34. 122–130. 13 indexed citations

15.

Öznur, Meltem, Sevim Baykal Koca, Pelin Yıldız, Burak Bahadır, & Kemal Behzatoğlu. (2015). Inverted (hobnail) high-grade prostatic intraepithelial neoplasia and invasive inverted pattern. Oncology Letters. 10(4). 2395–2399.

16.

Ünlü, Yaşar, Gülben Erdem Huq, Sevim Baykal Koca, et al.. (2014). Paratesticular sarcomas: A report of seven cases. Oncology Letters. 9(1). 308–312. 19 indexed citations

17.

Koca, Sevim Baykal, Pelin Yıldız, & Kemal Behzatoğlu. (2014). Foamy gland carcinoma in core needle biopsies of the prostate: clinicopathologic and immunohistochemical study of 56 cases. Annals of Diagnostic Pathology. 18(5). 271–274. 9 indexed citations

18.

Bora, F. William, et al.. (2012). A Rare Neck Mass: Extraskeletal Ewing's Sarcoma. International Journal of Head and Neck Surgery. 3(3). 165–167.

19.

Tural, Deniz, Nil Molinas Mandel, Sergülen Dervişoğlu, et al.. (2012). Extraskeletal Ewing's Sarcoma Family of Tumors in Adults: Prognostic Factors and Clinical Outcome. Japanese Journal of Clinical Oncology. 42(5). 420–426. 54 indexed citations

20.

Dinçbaş, Fazilet Öner, et al.. (2004). Toxic Epidermal Necrolysis after Cranial Radiotherapy and Phenytoin Treatment. Oncology Research and Treatment. 27(4). 389–392. 15 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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