This study examines twelve (12) bibliometric research published in Naunyn-Schmiedeberg's Archives of Pharmacology and offers suggestions to improve future bibliometric analyses. By reviewing twelve influential studies, the research focuses on identifying trends in methodologies, databases, and bibliometric indicators. The reviewed studies span diverse topics, from the pharmacological effects of emodin to cancer therapies and neurodegenerative diseases. Common techniques, such as keyword co-occurrence analysis, citation burst detection, and country and institutional collaboration networks, were applied to explore research dynamics and emerging trends. However, a key observation is the predominant reliance on the Web of Science Core Collection as the sole database. While this database is widely recognized, the study suggests incorporating multiple databases to reduce bias and provide a more comprehensive understanding of the research landscape. Additionally, it recommends the use of various author performance indicators, such as the H-index, G-index, and M-index, to better capture an author's scholarly impact. The review also emphasizes the value of co-word analysis and citation burst detection in identifying research hotspots and thematic shifts. However, it advocates for more detailed co-word analysis by separately considering titles, abstracts, and keywords, co-words dynamics, and multi-gram analysis. This multi-layered approach could enhance the understanding of evolving research topics. The feedback provided is intended as constructive suggestions aimed at refining methodologies and fostering innovation in bibliometric studies within the field of pharmacology. In the same vein, the immense work of all authors is sincerely appreciated.