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Since their introduction in 1982, Selective Serotonin Reuptake Inhibitors (SSRIs) have fundamentally transformed psychiatric care, becoming the first-line pharmacological treatment for depression and expanding to treat anxiety disorders, obsessive-compulsive disorder, and other conditions. Over four decades, SSRI research has generated an expansive, multidisciplinary scholarly landscape spanning neuropharmacology, psychiatry, somatic medicine, and environmental sciences. While specialisation creates deep expertise, it also risks intellectual isolation, underscoring a growing need for tools that enhance broad cross-domain awareness and collaboration, which has historically been a driver of scientific innovation. We mapped the field’s intellectual structure by analysing 38,961 SSRI-related publications (1982–March 2025) using a hybrid network analysis approach. This method combined citation data with semantic similarity to capture research connections. We applied community detection algorithms to identify 99 distinct research clusters, main path analysis to trace the primary intellectual trajectories of the field, and modularity measures to evaluate the network’s structural organisation. Publication volume grew linearly over the four decades. Our analysis showed that research became continuously more diversified over time, indicated by rising network modularity and the growing number of clusters required to account for annual publications. The main path trajectory shifted from early pharmacokinetic and comparative efficacy studies toward topics of neuroplasticity and prenatal exposure research. Contemporary research has forked into two prominent branches: exploring fluvoxamine’s therapeutic potential for COVID-19 and environmental pharmacology examining SSRI ecotoxicological effects in aquatic ecosystems. The interactive visualisation further enables the identification of pivotal publications that bridge distinct research domains and initiate new lines of inquiry. This comprehensive mapping, accompanied by an interactive visualisation, allows researchers and clinicians to trace the co-evolution of knowledge domains. It provides a broad historical perspective to contextualise individual contributions. By using visual modalities, this work expands how diverse audiences can engage with and interpret research, potentially fostering more intuitive and inclusive forms of scientific synthesis. Not applicable.