Aim: Renal cell carcinoma (RCC) is the 6th most frequently diagnosed cancer worldwide in men and 10th in women, accounting for 5% of all oncological cases in men and 3% in women. RCC is usually detected incidentally but can be presented with symptoms such as lateral pain, hematuria, and a palpable mass. Therefore, we aimed to investigate and evaluate the efficiency of MRTA in distinguishing CC-RCC from NC-RCC, the three subtypes of RCC within each other, and high-grade and low-grade tumors. Materials and Methods: Patients undergoing surgery for renal masses in our hospital between January 2015 and December 2019 and whose pathological diagnosis was RCC were determined and included in the study. Eighty-two patients with MR images in the Picture Archiving and Communication System (PACS) were retrospectively examined. The patient’s age and gender were recorded. RCC subtypes and Fuhrman grades were determined according to histopathological results. Results: Sixty-two patients were analyzed (34 males and 28 females). The average age of patients was 60.5 years (ranging between 24-81). Given the tumor localization, the tumors were located in the left kidney in 32 patients and the right kidney in 30 patients. Tumors were unilateral in all patients. Grouping according to RCC subtypes resulted in 40 CC-RCC (26 high-grade, 14 low-grade), 11 P-RCC (two high-grade, nine low-grade), and 11 CH-RCC. Conclusion: MRTA revealed several parameters with satisfactory diagnostic performance in distinguishing CC-RCC from NC-RCC. Findings indicated that the texture analyses (TA) were the complements of the evaluation of multi-parametric magnetic resonance imaging (MRI) features. MRTA can be efficiently used as a noninvasive tool useful in subtyping and grading RCC. In routine practice, TA can be used in radiology departments as an adjunct modality to the findings of multiparametric MRI in patients with a preliminary diagnosis of RCC.