This paper examines the impact of ChatGPT on research, a tool released by OpenAI in December 2022 that has rapidly become a prominent example of Large Language Models (LLMs). ChatGPT has sparked controversy in academia due to its ability to generate unique text, making it difficult to distinguish from human-generated content. Some journals have banned its use in scientific papers, but when used correctly, it can be a powerful tool for rewriting and improving the clarity of scientific papers. The authors conducted an empirical study by downloading abstracts from over 45,000 papers published between December 2022 and February 2023 from various journals. They used four well-known ChatGPT detection tools and found that ChatGPT played a role in about 10% of the papers in each editorial, indicating a rapid adoption of the tool across different fields. The paper also discusses the reliability of the detection tools, the demographic usage of ChatGPT, and the authorship policies of major editorials. It highlights the benefits and challenges of using LLMs in research, such as enhancing efficiency and clarity but also raising concerns about domain-specific knowledge and potential plagiarism. The study concludes that ChatGPT is increasingly shaping scholarly content, and researchers must adapt to coexist with LLMs while developing strategies to address challenges like fake news and academic integrity.This paper examines the impact of ChatGPT on research, a tool released by OpenAI in December 2022 that has rapidly become a prominent example of Large Language Models (LLMs). ChatGPT has sparked controversy in academia due to its ability to generate unique text, making it difficult to distinguish from human-generated content. Some journals have banned its use in scientific papers, but when used correctly, it can be a powerful tool for rewriting and improving the clarity of scientific papers. The authors conducted an empirical study by downloading abstracts from over 45,000 papers published between December 2022 and February 2023 from various journals. They used four well-known ChatGPT detection tools and found that ChatGPT played a role in about 10% of the papers in each editorial, indicating a rapid adoption of the tool across different fields. The paper also discusses the reliability of the detection tools, the demographic usage of ChatGPT, and the authorship policies of major editorials. It highlights the benefits and challenges of using LLMs in research, such as enhancing efficiency and clarity but also raising concerns about domain-specific knowledge and potential plagiarism. The study concludes that ChatGPT is increasingly shaping scholarly content, and researchers must adapt to coexist with LLMs while developing strategies to address challenges like fake news and academic integrity.