Academic success in MR research is often assessed through metrics such as impact factor and citation count. These measures can reflect scientific visibility and influence, and highly cited work may indeed go on to shape clinical practice. However, they do not by themselves capture whether a method is ultimately translated into patient care. Clinical impact depends on a much broader process: robustness, validation, implementation, integration into clinical workflows, and demonstration of real-world value. A method may therefore be academically successful long before, or even without ever, becoming clinically useful. This mismatch is particularly important at the early-career stage. Young researchers are often rewarded for producing the next publishable result rather than for pursuing the longer, riskier path of translation. In practice, this can shift the focus from big-picture clinical impact to a sequence of short-term outputs: one paper, then the next. While this system can generate important methodological advances, it can also discourage ambitious thinking and under-reward the slower work needed to move innovation into real clinical settings. As a result, many promising MR methods achieve academic recognition but stall before reaching meaningful clinical adoption. This session addresses that gap directly. It will explore how the field can better align methodological innovation with real-world clinical needs, and how researchers can balance academic success with the broader goal of translation. By bringing together researchers and clinicians with direct experience of this process, the session aims to provide both strategic perspective and practical guidance for turning promising MR advances into genuine clinical impact. By explicitly addressing the gap between methodological innovation and clinical adoption, this session provides a timely forum to rethink how success is defined in MR research. Attendees, especially early-career researchers, will gain a clearer understanding of how to design, position, and develop their work to maximize both scientific and real-world impact.