
The research articles (RA), recognized as a prestigious genre, serve as a primary arena for the dissemination of knowledge and the establishment of academic reputation. Consequently, the analysis of RA structures has garnered substantial attention from scholars, particularly within the fields of discourse analysis and English for Academic Purposes (EAP). Previous studies have revealed significant interdisciplinary and intradisciplinary differences in the organization of RAs, underscoring the complexity and diversity inherent in academic writing. This chapter reviews these findings and offers insights into the distinct rhetorical structures that characterize RAs in different disciplines. By elucidating these variations, the chapter aims to provide practical guidance for both researchers and educators in refining EAP instruction. Such understanding is pivotal in developing instructional materials that are more attuned to the specific needs of students and novice writers, thereby enhancing their generic awareness and enabling them to better conform to the conventions of academic writing within their respective fields. Ultimately, this chapter contributes to the ongoing discourse on genre-based approaches to EAP, with implications for improving the quality and efficacy of academic communication.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
