The prognostic potential of circulating BDNF levels and its polymorphisms in age-related cognitive impairment and neurodegeneration.

Tremor, defined as an involuntary rhythmic, oscillating movement of a body part (), is one of the most common motor symptom across various movement disorders, including Parkinson’s disease (PD), atypical parkinsonian syndromes, essential tremor (ET), and dystonia. According to the International Parkinson and Movement Disorder Society (IPMDS), PD is characterized by bradykinesia in combination with resting tremor or rigidity. ET is defined as an isolated tremor syndrome with bilateral postural or kinetic tremors lasting at least 3 years, with or without tremor in other body regions. Collectively, these indicate the central role of tremor in the diagnosis of movement disorders. A refined tremor taxonomy has further driven research on tremor phenomenology and etiology. In 2018, the IPMDS updated the consensus criteria for tremor classification and proposed a dual-axis framework: Axis 1 based on clinical phenomenology (tremor syndrome) and Axis 2 based on etiology (). This refined classification has promoted more precise diagnosis and differentiation of tremor syndromes. Over the past decade, research on tremor has expanded substantially across neurophysiology (), neuroimaging (), molecular biology (), and behavioral assessments such as voice and drawing analysis (; ). The field has progressed from an initial focus on differentiating Parkinson’s tremor (PT) and ET to investigations of underlying mechanisms and, more recently, the integration of digital health technologies such as artificial intelligence (AI) and wearable sensors (; ). Despite these advances, existing studies have largely focused on tremor associated with specific diseases or particular diagnostic modalities (). Therefore, a comprehensive analysis covering various diagnostic approaches for different tremor types remains lacking. Bibliometric methods can synthesize large volumes of literature, visualize collaboration networks, and elucidate knowledge evolution, thereby systematically tracking evolving research trends and emerging hotspots to guide future advances in tremor diagnosis and differential diagnosis (). Additionally, while previous studies have seldom incorporated evidence from clinical trials, clinical trials analysis can not only reveal the true technological value that is amenable to clinical translation, but also show the current status and future directions of clinical research in this field. In this study, we integrated relevant publications from 2016 to August 31, 2025, and conducted a comprehensive bibliometric analysis using established bibliometric tools. Specifically, we outlined the general research landscape, identified limitations, and predicted future frontiers to offer insights for scholars in this field.